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Unison Interview Questions

unison controls private limited is a machinery company based out of 16 dhanlakshmi industrielestetnr police comm office shahibaug rd, ahmedabad, gujarat, india.

unison controls private limited is a machinery company based out of 16 dhanlakshmi industrielestetnr police comm office shahibaug rd, ahmedabad, gujarat, india.

Overview

Unison Interview Guides

Data Structures & Algorithms

Given two sorted lists, write a function to merge them into one sorted list.

Merge Sorted Lists

Find the missing integer from a array of consequtive integers

Find the Missing Number

Get Top N Frequent Words

Write a function to return the cumulative percentage of students that received scores within certain buckets.

Bucket Test Scores

String Shift

Machine Learning

Bank Fraud Model

Lasso vs Ridge

Rebalancing outcome probabilities for a classifier on imbalanced data.

Rebalance Probabilities

Bagging vs Boosting

FAQ Matching

Select the 2nd highest salary in the engineering department

2nd Highest Salary

Write a query that returns all neighborhoods that have 0 users.

Empty Neighborhoods

Paired Products

Write a query to get the average commute time for each commuter in New York

Average Commute Time

Project Pairs

Probability

Profit-Maximizing Dice Game

HHT or HTT

Approximate Ad Views

Poker Pair

Statistics

P-value to a Layman

What are the assumptions of linear regression?

Assumptions of Linear Regression

Describe linear regression to various audiences with different levels of knowledge.

Explaining Linear Regression to Different Audiences

Use of historical loan data to estimate the probability of default for new loans

MLE for Default Prediction

Challenge

When an interviewer asks a question along the lines of:

<ul>
<li>What would your current manager say about you? What constructive criticisms might he give?</li>
<li>What are your three biggest strengths and weaknesses you have identified in yourself?</li>
</ul>

How would you respond?

When asked about your strengths in an interview, what is an effective way to respond?

When asked about your strengths in an interview, what is an effective way to respond?

Your Strengths and Weaknesses I

Which of the following is an acceptable strategy when discussing weaknesses in an interview?

Which of the following is an acceptable strategy when discussing weaknesses in an interview?

Your Strengths and Weaknesses II

What do you tell an interviewer when they ask you what your strengths and weaknesses are?

Your Strengths and Weaknesses

Brainteasers

When an interviewer asks you a question along the lines of:

<ul>
<li>Why did you apply to our company?</li>
<li>What are you looking for in your next job?</li>
<li>What makes you a good fit for our company?</li>
</ul>

How should you respond?

When asked 'What are you looking for in your next job?' in an interview, how can you tie the company's employee benefits into your response?

When asked 'What are you looking for in your next job?' in an interview, how can you tie the company's employee benefits into your response?

Why Do You Want to Work With Us I

How can company values be used effectively in an interview when asked 'What makes you a good fit for our company?'

How can company values be used effectively in an interview when asked 'What makes you a good fit for our company?'

Why Do You Want to Work With Us II

When responding to the question 'Why did you apply to our company?' during an interview, what aspect should you highlight?

When responding to the question 'Why did you apply to our company?' during an interview, what aspect should you highlight?

Why Do You Want to Work With Us III

How would you answer when an Interviewer asks why you applied to their company?

Why Do You Want to Work With Us

Describe a data project you worked on. What were some of the challenges you faced?

Describing a data project and its challenges

Hurdles In Data Projects

Analytics

How would you explain what a p-value is to someone who is not technical?

What does a p-value in a statistical test represent?

What does a p-value in a statistical test represent?

P-value to a Layman I

In a statistical test, how does a low p-value (less than 0.05) influence our decision about the null hypothesis?

In a statistical test, how does a low p-value (less than 0.05) influence our decision about the null hypothesis?

P-value to a Layman II

What are the assumptions of linear regression?

Which assumption of the residuals of the standard linear regression model can not be overcome by increasing the sample size?

Regression assumptions

Let’s say that you’re training a classification model.

How would you combat overfitting when building tree-based models?

Let's say that you're training a classification model.   How would you combat overfitting when building tree-based models?

Overfit Avoidance

How would you handle the data preparation for building a machine learning model using imbalanced data?

Addressing imbalanced data in machine learning through carefully prepared techniques.

Data Preparation for Imbalanced Data

Let’s say we’re comparing two machine learning algorithms. In which case would you use a bagging algorithm versus a boosting algorithm? 

Give an example of the tradeoffs between the two.

In machine learning, when would you use a bagging algorithm over a boosting algorithm?

In machine learning, when would you use a bagging algorithm over a boosting algorithm?

Bagging vs. Boosting

Given a string, write a function to determine if it is palindrome or not.

Note: A palindrome is a word/string that is read the same way forward as it is backward, e.g. <code>&#39;reviver&#39;</code>, <code>&#39;madam&#39;</code>, <code>&#39;deified&#39;</code> and <code>&#39;civic&#39;</code> are all palindromes, while <code>&#39;tree&#39;</code>, <code>&#39;music&#39;</code> and <code>&#39;person&#39;</code> are not palindromes.

Example:

Input:

<pre tabindex="0" class="chroma"><code>word1 = &#34;tree&#34;
word2 = &#34;radar&#34;
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def is_palindrome(word1) -&gt; False
def is_palindrome(word2) -&gt; True
</code></pre>

Given a string, write a function to determine if it is palindrome or not.

String Palindromes

Write a SQL query to select the 2nd highest salary in the engineering department.

Note: If more than one person shares the highest salary, the query should select the next highest salary.

Example:

Input:

<code>employees</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>first_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>last_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>department_id</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<code>departments</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>

Imagine you are asked to build a machine learning model to decide new loan approvals for a
financial firm. You ask the data department in the company for a subset of data to get started
working on the problem. The data includes different features about applicants such as age,
occupation, zip code, height, number of children, favorite color, etc. You decide to build
multiple machine learning models to test out different ideas before settling on the best one.

How would you explain the bias-variance tradeoff with regards to
building and choosing a model to use?

Bias vs. Variance Tradeoff

Explain the difference between the XGBoost and random forest algorithms and give an example where you would use one over the other.

Why might a data scientist choose to use XGBoost instead of Random Forest for a particular machine learning task?

Why might a data scientist choose to use XGBoost instead of Random Forest for a particular machine learning task?

XGBoost vs Random Forest: Choice

Xgboost vs Random Forest

Let’s say that you work at a B2B SAAS company that’s interested in testing the pricing of different levels of subscriptions.

Your project manager comes to you and asks you to run a two-week-long A/B test to test an increase in pricing.

How would you approach designing this test? How would you determine whether the increase in pricing is a good business decision?

Testing Price Increase

A/B Testing

Create a class named <code>LRUCache</code> that implements the behavior expected of a Least Recently Used (LRU) Cache.

The <code>LRUCache</code> class implements the following methods:

<ul>
<li><code>__init__(self, capacity)</code> - initializes the object and takes in a capacity parameter specifying the maximum capacity of the cache.</li>
<li><code>get_if_exists(self, key) -&gt; Any|None</code> - gets a value based on a key. If the key exists, returns the associated value. If the key has expired or did not exist in the first place, returns <code>None</code>.</li>
<li><code>put(self, key, value)</code> - places a value inside the cache. In the case wherein the cache is full, invalidates the least recently used element. When two keys collide, the older value should be invalidated in place of the new one.</li>
</ul>

Example:

<pre tabindex="0" class="chroma"><code>cache = LRUCache(2)
cache.put(&#34;sample&#34;, 55)
cache.get_if_exists(&#34;sample&#34;) # returns 55
cache.get_if_exists(&#34;key&#34;) # returns None
cache.put(&#34;hello&#34;, 10) 
cache.put(&#34;sample&#34;, 9)
cache.put(&#34;world&#34;, 5)
cache.get_if_exists(&#34;hello&#34;) # returns None
</code></pre>

Notes:

<ul>
<li>It is assured that the value in the <code>put</code> method will never receive a <code>None</code> value. Moreover, it is assured that the capacity will always be &gt; 0.</li>

<li>All operations must be O(1).</li>

<li>Aside from Python’s standard dictionary implementation (<code>{}</code>), you may not use any other built-in data structures.</li>
</ul>

LRU Cache 1

Let’s say we want to launch a re-design of a landing page to improve the click-through rate. We can do this by implementing an AB test.
Given that we launch an AB test, how would you infer if the results of the click-through rate were statistically significant or not?

How can you accurately conclude if the results of an A/B test, conducted to evaluate the effectiveness of a landing page redesign, are statistically significant?

How can you accurately conclude if the results of an A/B test, conducted to evaluate the effectiveness of a landing page redesign, are statistically significant?

Statistically Significant Test

Precisely ascertain whether the outcomes of an A/B test, executed to assess the impact of a landing page redesign, exhibit statistical significance.

Let’s say that you work at a bank that wants to build a model to detect fraud on the platform.

The bank wants to implement a text messaging service in addition that will text customers when the model detects a fraudulent transaction in order for the customer to approve or deny the transaction with a text response.

How would we build this model?

Let’s say that you work at a bank that wants to build a model to detect fraud on the platform.

The bank wants to implement a text messaging service that will text customers when the model detects a fraudulent transaction in order for the customer to approve or deny the transaction with a text response.

Which statement is true?

Let's say that you work at a bank that wants to build a model to detect fraud on the platform.

The bank wants to implement a text messaging service that will text customers when the model detects a fraudulent transaction in order for the customer to approve or deny the transaction with a text response.

Which statement is true?

Given an integer <code>N</code>, write a function that returns a list of all of the prime numbers up to <code>N</code>.

Note: Return an empty list there are no prime numbers less than or equal to <code>N</code>.

Example:

Input:

<pre tabindex="0" class="chroma"><code>N = 3
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def prime_numbers(N) -&gt; [2,3]
</code></pre>

Given an integer N, write a function that returns all of the prime numbers up to N

Prime to N

Regularization and cross-validation are two common techniques used to improve the performance of machine learning algorithms.

When should you use one versus the other?

Given the choices below, which one is an example of a scenario where we should be using regularization?

Given the choices below, which one is an example of a scenario where we should be using regularization?

Regularization Example

Regularization and Validation

What’s the difference between Lasso and Ridge Regression?

Under what circumstances is it recommended to use Lasso regression over Ridge regression?

Under what circumstances is it recommended to use Lasso regression over Ridge regression?

<h1>Binary Tree Validation</h1>

You are given the root of a binary tree. You need to determine if it is a valid binary search tree (BST).

A valid BST is defined as follows:

<ul>
<li>The left subtree of a node contains only nodes with values less than or equal to the node’s value.</li>
<li>The right subtree of a node contains only nodes with values greater than or equal to the node’s value.</li>
<li>Both the left and right subtrees must also be binary search trees.</li>
</ul>

Given the function <code>def is_valid_bst(root: Node) -&gt; bool:</code>, return True if the binary tree is a valid BST. Otherwise, return False.

<h3>Example:</h3>

Input:

<img src="https://d2qpirhrfplx04.cloudfront.net/9664817c-3e12-4a40-9236-8382b13f55a0.png" alt="image"/>Converted Binary Tree.png

Output:

<pre tabindex="0" class="chroma"><code>def is_valid_bst(Node(3)) -&gt; True
</code></pre>

Given the root node, verify if a binary search tree is valid or not.

Binary Tree Validation

How would you convey insights and the methods you use to a non-technical audience?

Making data-driven insights actionable for those without technical expertise

Simple Explanations

Let’s say you are working on Google Docs. A product manager comes to you and asks how the product is doing. 

What are the top five metrics that you would start tracking to understand the health of Google Docs?

Docs Metrics

Product Sense & Metrics

The Fibonacci sequence is a series of numbers in which each number is the sum of the two preceding ones, usually starting with 0 and 1. It is often used in algorithm examples, and is defined by the following formula: F(n) = F(n-1) + F(n-2), with F(0) = 0 and F(1) = 1.

Your task is to implement the Fibonacci algorithm in three different methods:
1. Recursively
2. Iteratively
3. Using Memoization

Example 1:

Input:

<pre tabindex="0" class="chroma"><code>n = 5
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>fibonacci(n) -&gt; 5
</code></pre>

Example 2:

Input:

<pre tabindex="0" class="chroma"><code>n = 10
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>fibonacci(n) -&gt; 55
</code></pre>

The Fibonacci sequence starts as follows: 0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55…

This question requires the implementation of the Fibonacci sequence using three different methods: recursively, iteratively, and using memoization.

Implementing the Fibonacci Sequence in Three Different Methods

Let’s say you work as a data scientist at a bank.

You are tasked with building a decision tree model to predict if a borrower will pay back a personal loan they are taking out.

<ol>
<li>How would you evaluate whether using a decision tree algorithm is the correct model for the problem?</li>

<li>Let’s say you move forward with the decision tree model. How would you evaluate the performance of the model before deployment and after?</li>
</ol>

Decision Tree Evaluation

You’re given a string that may contain the characters <code>{</code>, <code>}</code>, <code>[</code>, <code>]</code>, <code>(</code>, and <code>)</code>.

Task: Verify that the string is balanced. A balanced string is one where every opening character, <code>{</code>, <code>[</code>, or <code>(</code>, has a corresponding closing character, <code>}</code>, <code>]</code>, or <code>)</code>.

Write a function called <code>is_balanced(string: str) -&gt; bool</code> which verifies the balance of a string.

Example:

<pre tabindex="0" class="chroma"><code>is_balanced(&#39;(())[]{}&#39;) -&gt; True
</code></pre>

<pre tabindex="0" class="chroma"><code>is_balanced(&#39;{([(){}])()}&#39;) -&gt; True
</code></pre>

<pre tabindex="0" class="chroma"><code>is_balanced(&#39;{}[]())&#39;) -&gt; False
</code></pre>

<hr/>

Write a function that tests whether a string of brackets is balanced.

The Brackets Problem

Given two sorted lists, write a function to merge them into one sorted list.

Bonus: What’s the time complexity?

Example:

Input:

<pre tabindex="0" class="chroma"><code>list1 = [1,2,5]
list2 = [2,4,6]
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def merge_list(list1,list2) -&gt; [1,2,2,4,5,6]
</code></pre>

You have two sorted lists, one with m elements and one with n elements. What would be the time complexity of merging the two lists via merge sort?

You have two sorted lists, one with m elements and one with n elements. What would be the time complexity of merging the two lists via merge sort? 

Merging Lists Complexity

You have an array of integers, <code>nums</code> of length <code>n</code> spanning <code>0</code> to <code>n</code> with one missing. Write a function <code>missing_number</code> that returns the missing number in the array.

Note: Complexity of $O(n)$ required.

Example:

Input:

<pre tabindex="0" class="chroma"><code>nums = [0,1,2,4,5] 
missing_number(nums) -&gt; 3
</code></pre>

Given two strings, write a function to return <code>True</code> if the strings are anagrams of each other and <code>False</code> if they are not.

Note: A word is not an anagram of itself.

Example 1:

Input:

<pre tabindex="0" class="chroma"><code>string_1 = &#34;listen&#34;
string_2 = &#34;silent&#34;
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>True
</code></pre>

Example 2:

Input:

<pre tabindex="0" class="chroma"><code>string_1 = &#34;banana&#34;
string_2 = &#34;bandana&#34;
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>False
</code></pre>

Valid Anagram

How would you explain the concept of linear regression to three different audiences: a child, a first-year college student, and a seasoned mathematician? Ensure your explanations are tailored to the understanding level of each audience.

Let’s say that you’re the data scientist for the marketing/advertising division of your company. The marketing executive wants to test multiple new channels including:

<ul>
<li>Youtube ads</li>
<li>Google search ads</li>
<li>Facebook ads</li>
<li>Direct mail campaigns</li>
</ul>

Given these new marketing channels, how would you design an a/b test to utilize the marketing budget in the most efficient way possible?

Marketing Dollar Efficiency

<h3>Job Description</h3><div>Job Description<div>About the role: Unison is seeking a highly skilled and proactive Product Manager to lead the planning, execution, and delivery of Salesforce-based applications and integrations that support the company's lending, servicing, and customer experience operations. Operating within an Agile/Scrum framework, this role drives enhancements that improve loan origination workflows, underwriting efficiency, customer communication, regulatory compliance, and operational scalability. The ideal candidate has a strong background in financial services or lending technology, excels at cross-functional coordination, and brings hands-on experience managing products in partnership with Salesforce development teams using Agile and Scrum principles.This is a hybrid position with a requirement of 3 full days in our Omaha, Nebraska office.Responsibilities: <ul><li>Define a vision, and roadmap of initiatives, for automation and efficiency in our origination platform.</li><li>Partner with cross-functional stakeholders including sales, underwriting, asset management, and compliance teams to prioritize competing needs and deliver high-impact solutions under tight timelines</li><li>Make decisive trade-offs between competing priorities in a rapidly evolving business environment, using data and user feedback to guide product decisions</li><li>Design and implement scalable systems that remain flexible as business requirements shift, anticipating future needs while solving immediate problems</li><li>Drive a culture of continuous improvement by establishing metrics, analyzing usage patterns, and iterating on tools based on quantitative performance data</li><li>Partner with business stakeholders across Lending Operations, Underwriting, Fulfillment, Customer Service to understand needs and refine requirements.</li><li>Translate business requirements into well-defined user stories with clear acceptance criteria for Software Engineering.</li><li>Manage expectations, communicate trade-offs, and ensure alignment between business priorities, business value and technical delivery.</li></ul>About you: <ul><li>4-7+ years of product management experience with demonstrated success building internal tools, operational systems, or B2B SaaS products</li><li>Direct experience in loan origination, mortgage lending, or adjacent financial services, with understanding of compliance requirements and industry workflows</li><li>Proven ability to thrive in ambiguity and fast-paced environments where business priorities shift frequently, making data-driven decisions with incomplete information</li><li>Hands-on experience managing agile sprints and development cycles including writing user stories, grooming backlogs, running sprint planning and retrospectives with a focus on iterative delivery</li><li>Experience working with business stakeholders at all levels, translating operational pain points into product requirements and managing expectations through clear communication</li><li>Comfort working with Remote Teams and Collaboration tools ( Slack, Confluence ) and PM Software ( Jira, Trello and Excel Spreadsheets ).</li><li>Technology Savvy and comfortable using a variety of software tools like Gmail, Google Docs, Google Drive, MS Office 365, Google Calendar.</li><li>Familiarity with Salesforce or similar CRM platforms, technical background (engineering, data analysis, or systems design), and experience with process optimization or workflow automation is preferred.</li></ul>Why join us? The Unison team draws on a deep and wide range of talent across several disciplines. Visionaries in investment management, product development, and financial technology are joined by innovative real estate and consumer finance experts creating a unique culture.Perks of the Unison employee include: competitive salaries, 100% paid medical and dental benefits, generous PTO policy, paid parental leave program, and fantastic downtown SF and Omaha locations, as well as being an integral part of a well-funded market leader with incredible momentum.About us: Unison is a San Francisco-based company that is pioneering a smarter, better way to own your home. Until now, the only way to finance a home was by taking on debt. Through the Unison Agreement, we help homeowners access their equity flexibly with no monthly payments or interest. We enhance home affordability, reduce debt, and deliver a less risky way for homeowners, investors, and society to think about their most important asset - the home. For additional information, visit www.unison.com or follow us on Facebook, Instagram, LinkedIn, Twitter and YouTube. The last few years have been record breaking for Unison. We expanded our offering to 30 states, surpassed the $5B mark in real estate investments and partnered with over 7K customers through our HomeBuyer and HomeOwner programs. This tremendous growth was recognized by the Deloitte Technology Fast500 awards two years in a row as well as being included in the most recent Forbes Fintech50. Unison provides equal employment opportunity to all individuals regardless of their race, age, creed, color, religion, national origin or ancestry, sex, gender, disability, veteran status, genetic information, sexual orientation, gender identity or expression, pregnancy, or any other characteristic protected by state, federal, or local law.We recognize that people come with experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying. Diversity of experience and skills combined with passion is a key to innovation and excellence. Therefore, we encourage people from all backgrounds to apply to our positions. Please let us know if you require accommodations during the interview process.</div></div>

Job Description We are seeking an experienced Business Analyst to support bank-wide strategic initiatives focused on Digital Assets, Tokenization, and AI-driven solutions. The candidate will work closely with business, product, technology, compliance, and risk teams to define requirements and drive delivery of innovative banking capabilities. Key Responsibilities <ul><li> Gather, analyze, and document business and functional requirements for Digital Asset, Tokenization, and AI initiatives. </li><li> Work with stakeholders across Retail, Corporate, Treasury, Payments, and Operations within the bank. </li><li> Translate regulatory, risk, and compliance requirements into clear business specifications. </li><li> Support initiatives involving tokenized assets, DLT/blockchain platforms, digital currencies, and AI/ML use cases. </li><li> Collaborate with Product Owners, Architects, and Developers to ensure requirements are clearly understood and delivered. </li><li> Create BRDs, FRDs, user stories, process flows, and data mappings. </li><li> Support UAT planning, test case review, and defect triage. </li><li> Act as a bridge between business and technology teams throughout the project lifecycle. </li></ul>Required Skills & Experience <ul><li> 8+ years of Business Analysis experience in Banking or Financial Services. </li><li> Hands-on experience in Digital Asset, Tokenization, Blockchain, or AI initiatives within a bank or financial institution. </li><li> Strong understanding of banking products, payments, settlements, custody, and risk controls. </li><li> Experience working in Agile / Scrum environments. </li><li> Strong stakeholder management and communication skills. </li><li> Experience with regulatory considerations related to MAS, AML, KYC, and financial controls is a plus. </li></ul>Preferred Skills <ul><li> Exposure to DLT platforms, tokenized securities, stablecoins, or CBDC-related projects. </li><li> Understanding of AI/ML use cases in banking (fraud detection, risk scoring, automation, analytics). </li><li> Prior experience working with product teams or innovation labs within banks.</li></ul>

Job Title: Data Scientist - AML (Python / Vyntra / NetGuardians) Location: Singapore Experience: 6-10 years Job Description: We are looking for a highly skilled Data Scientist with strong experience in Anti-Money Laundering (AML) systems and expertise in Python to join our banking analytics team. The ideal candidate will have hands-on experience with Vyntra (formerly NetGuardians) for transaction monitoring and anomaly detection. Key Responsibilities: <ul><li> Develop, enhance, and maintain data models and machine learning algorithms for AML detection and financial crime prevention. </li><li> Analyze large datasets from multiple sources to identify suspicious patterns and behavior. </li><li> Work closely with AML compliance, business, and technology teams to fine-tune Vyntra/NetGuardians models. </li><li> Implement and automate data pipelines and model deployment using Python-based frameworks. </li><li> Evaluate and improve model performance through feature engineering, tuning, and retraining. </li><li> Prepare analytical reports and dashboards for stakeholders highlighting insights and risk indicators. </li></ul>Required Skills and Experience: <ul><li> 6-10 years of experience in Data Science or AML analytics within the Banking/Financial Services domain. </li><li> Strong proficiency in Python, Pandas, NumPy, Scikit-learn, and data visualization tools. </li><li> Mandatory experience with Vyntra (formerly NetGuardians) platform for AML or fraud monitoring. </li><li> Deep understanding of AML processes, KYC, transaction monitoring, and financial crime compliance. </li><li> Experience working with large-scale structured and unstructured data sets. </li><li> Familiarity with SQL, ETL, and data warehouse concepts. </li><li> Excellent communication and stakeholder management skills. </li></ul>Good to Have: <ul><li> Exposure to cloud-based analytics platforms (Azure, AWS, or GCP). </li><li> Experience integrating AML systems with other data sources or case management tools. </li><li> Knowledge of model governance, explainability (XAI), and regulatory reporting standards</li></ul>

<ul><li>Over 10 years of experience in business analysis, with a strong track record in delivering finance-related projects</li><li>Proficient in data management and financial systems</li><li>Must have worked in local or foreign banks</li><li>Must have implement full end to end projects for finance applications (ie. SAP ERP, Enterprise Budget, Financial Consolidation, Regulatory Reporting (ie. MAS 637, MAS 610))</li><li>Must understand financial data</li><li>Able to perform dive dive impact assessment, detailed data analysis and data profiling</li><li>Able to facilitate and drive workshop discussions with business and tech teams</li><li>Strong communication skills, ie prepare high quality & concise presentation slides to senior management</li><li>Strong stakeholders engagement skills</li><li>Self driven and proactive</li><li>Adaptive to different area in the data and finance space, open to learning new Gen AI technology</li><li>Collaborate with Business Unit Specialists to elicit, review, and validate business requirements</li><li>Perform impact assessments and analyze the "to-be" business and operational processes based on agreed requirements</li><li>Define detailed functional and non-functional requirements aligned with business objectives</li><li>Monitor and manage risks / issues related to requirements and scope creep</li><li>Perform impact assessments and estimations for project change requests</li><li>Transition requirements to System Analysts, ensuring clarity and completeness</li><li>Maintain traceability of functional specification to business requirements</li><li>Review test plan and functional test scope prepared by testing team</li><li>Support SIT and UAT, including defect prioritization, tracking and resolution</li></ul>

We are seeking an experienced Project Manager / Finance Business Analyst (PM & FBA) with a strong banking background to support and deliver SAP ERP initiatives. The role requires hands-on experience across SAP ECC and SAP S/4HANA, deep understanding of financial data, and the ability to bridge business, finance, data, and technology teams within a banking environment. Key Responsibilities Program & Project Delivery <ul><li>Act as a hybrid Project Manager and Finance Business Analyst on SAP ERP implementation and transformation programs within a banking environment</li><li>Support end-to-end delivery of SAP ECC and SAP S/4HANA initiatives, including planning, execution, tracking, and reporting</li><li>Coordinate with IT, Finance, Data, and business stakeholders to ensure alignment on scope, timelines, and deliverables </li></ul>Business & Financial Analysis <ul><li>Develop a strong understanding of banking financial data, including GL, sub-ledgers, financial reporting, and regulatory data</li><li>Perform deep-dive impact assessments across finance processes, data models, reports, and downstream systems</li><li>Conduct detailed data analysis and data profiling to assess data quality, completeness, and reconciliation between source and target systems</li><li>Translate business and finance requirements into clear functional specifications and solution documentation for SAP ECC and SAP S/4HANA </li></ul>Requirements <ul><li>8+ years of experience as a Project Manager, Business Analyst, or hybrid PM/BA role within the banking or financial services industry</li><li>Mandatory experience working in local or foreign banks</li><li>Proven experience in SAP ERP implementations, with hands-on exposure to SAP ECC and SAP S/4HANA</li><li>Strong understanding of financial data, accounting structures, and banking finance processes</li><li>Demonstrated experience performing detailed impact assessments, data analysis, and data profiling</li><li>Strong facilitation skills with the ability to lead workshops and discussions across business and technology teams</li><li>Excellent communication skills, with proven ability to create clear, concise, and professional presentation materials for senior management</li><li>Strong stakeholder management and engagement skills across complex, matrixed environments</li><li>Self-driven, proactive, and able to work independently in fast-paced programs</li><li>Flexible and adaptive, with willingness to learn new domains within data and finance, including emerging GenAI technologies</li><li>SAP Finance-related certifications (FI/CO, S/4HANA Finance) are a plus</li></ul>

<ul><li>Work as a functional business analyst with the project team for datamart and customer relationship manager systems</li><li>Liaise with stakeholders from business, technology, and other departments to clarify, define and document the requirements (functional & non-functional) and streamline the processes;</li><li>Define and/or propose sound solution to address business needs;</li><li>Review functional specification and ensure alignment with business requirements;</li><li>Review UAT test cases and participate in UAT;</li><li>Follow the bank's process and procedure to deliver quality artifacts and meet key milestones within expected project timeline; </li></ul>Requirements <ul><li>Strong years of experience in financial and banking industry</li><li>Understand wholesale banking domain knowledge and products such as customer onboarding & servicing, loan and trade; knowing the business workflow is a plus</li><li>Experience in corporate credit origination or similar areas</li><li>Experience in SDLC and possess basic technical skills, such as web application, API, database, SQL, data visualization, and reporting</li></ul>

We are seeking innovative Product Managers to drive transformation, drive BAU and enhance our capabilities in the evolving technological landscape. The ideal candidate will have: <ul><li> 10+ years of experience in IT project management, with a strong focus on finance and tax-related projects</li><li> Experience in managing for medium-to-large complex project delivery, managing work delivered through multiple third parties delivery team. Should have good experience in delivering digital or custom solutions, integrating with package and/or SaaS enterprise solutions</li><li> Have experience with Workday Finance</li><li> Preferred to have experience in managing multi-vendor environment and handling of BAU operations</li><li> Passionate about resolving user pain points through great design</li><li> Experience in delivering and having In-depth knowledge of financial systems</li><li> Strong understanding of project management methodologies and excellent leadership and team management skills</li><li> Strong skills in user-centered design and Agile Delivery Methodologies</li><li> Ability to adapt to various roles and work collaboratively with cross-functional teams</li><li> Ability to manage multiple projects simultaneously</li><li> Strong analytical, problem solving and decision-making capabilities</li><li> Strong communication and interpersonal skills; ability to project manage and work with cross-functional teams, different stakeholders </li></ul>As a Finance and Tax Product Manager within our Technology team, you will: <ul><li> Spearhead the Implementation, Delivery, and Maintenance of Finance and Tax systems & related projects</li><li> Facilitate the users' product vision by researching conceiving, sketching, prototyping and user-testing experiences for digital products</li><li> Manage BAU aspects of systems, including monitoring and maintaining the operational health of the core systems. Ensure all teams adhere to system availability, reliability, and performance meet defined service level agreements (SLAs)</li><li> Work with and manage related vendor partners to deliver to the outcome</li><li> Identify improvement opportunities and align business requirements with current architecture</li><li> Act as a crucial bridge between business and technology delivery teams, driving both project delivery and day-to-day operations</li><li> Oversee project execution, ensuring adherence to timelines, budgets, and quality standards</li><li> Engage with project teams, stakeholders, and senior management to drive solutions and resolve issues</li><li> Conduct user research and translate insights into user flows, wireframes, and prototypes</li><li> Collaborate closely with team members and stakeholders in an agile environment</li></ul>

???? Role Overview We are seeking a Data Management Analyst with a strong blend of Business Analysis and Quality Assurance experience to support data management initiatives within the financial domain. The ideal candidate will have hands-on exposure to data warehouses, data quality, and reconciliation processes, and will work closely with business and technical stakeholders to ensure data accuracy, consistency, and reliability. ???? Key Responsibilities <ul><li> Act as a bridge between business users and technical teams to understand data requirements and translate them into functional specifications. </li><li> Perform data validation, reconciliation, and quality checks, including implementation, monitoring, and issue resolution. </li><li> Analyze data from data warehouses and source systems to identify gaps, inconsistencies, and improvement opportunities. </li><li> Design and execute data quality test cases, support UAT, and ensure adherence to business rules. </li><li> Manage SLA-driven support activities, including handling queries and issues raised by end users. </li><li> Prepare and maintain functional and technical documentation such as BRDs, FRDs, data mapping documents, and SOPs. </li><li> Collaborate with stakeholders to support data governance, controls, and continuous improvement initiatives. </li><li> Participate in project discussions, requirement walkthroughs, defect triage, and data review sessions. </li></ul>✅ Required Qualifications & Experience <ul><li> Bachelor's degree in Computer Science, Information Technology, or related field. </li><li> 3-7 years of experience in Data Management, preferably within the financial services industry. </li><li> Strong experience in Data Warehouse environments (data validation, reporting layers, reconciliation). </li><li> Proven background in Business Analysis and/or Data Quality/QA roles. </li><li> Hands-on experience with data analysis and reconciliation activities. </li><li> Working knowledge of SQL and Python for data analysis and validation (not heavy development). </li><li> Experience handling end-user queries and SLA-based support. </li><li> Strong experience in documentation (functional specs, data definitions, test scenarios, reports). </li><li> Excellent problem-solving, communication, and stakeholder management skills. </li><li> High attention to detail, data accuracy, and quality. </li><li> Ability to manage multiple priorities in a fast-paced environment. </li></ul>???? Nice to Have <ul><li> Experience with banking/financial data platforms. </li><li> Exposure to data governance, metadata management, or regulatory reporting. </li><li> Prior involvement in UAT or data migration/warehouse projects</li></ul>

<ul><li>To help stakeholders define requirements and problem statements, identify dependencies and constraints as well as negotiate priorities between different stakeholder groups</li><li>Bridge the communication between the development team and business stakeholders, by providing the details explaining the requirements from both functional and technical perspective to the development team</li><li>Effectively translate user stories/ pain points into technical specification details and collaborate with various development teams to produce high quality deliverables</li><li>Provide clarity in business requirement to allow developers to provision estimates, and serve to represent stakeholders, to provide business priorities</li><li>Act as an SME in the respective domain with sufficient knowledge to interact, solicit requirements, and advise business users on the best solutions</li><li>Help develop compelling and innovative solutions while complying with existing standards, guidelines, and processes</li><li>Perform end-to-end technical impact analysis and lead the requirement gathering with business users. Propose alternate solutions to meet or improve the desired objectives based on best practices and industry solutions and influence the desired outcomes</li><li>Verify that the user requirements are achievable and support business users during UAT and post-implementation phases</li><li>Review test cases and help resolve requirement/implementation issues during testing phase</li><li>Conceptualize and perform proof of concept before project inception</li><li>Plan and conduct project inception workshops to establish operational project vision, stakeholders, delivery scope, constraints and conditions </li></ul>Requirements <ul><li>Excellent business and technical written and verbal communication skills to document and specify requirements to solve business problems</li><li>Ability to facilitate and elicit requirements</li><li>Significant and solid understanding of software development life cycle. </li><li>At least 5 years of working experience in Avaloq development and/or system design</li><li>At least 5 years of working experience in Avaloq system analysis</li><li>Proven experience of solving complex analytical and technical problems</li><li>Strong analytical and problem-solving skills</li><li>Proven ability to simplify and breakdown complex scenarios and problems for analysis</li><li>Strong business domain knowledge on wealth management product offering and process</li><li>Ability to perform technical impact analysis independently and resourceful in finding information required</li><li>Understand technology infrastructure and able to conduct interface analysis to achieve a business goal</li><li>Strong team player and interpersonal skills</li><li>Excellent communication and presentation skills and Self-starter and motivated</li></ul>

We are seeking a talented and experienced Data Engineer with expertise in Hadoop, Scala, Spark, Elastic, Open Shift Container Platform (OCP) and DevOps practices. Elasticsearch to join our team. As a Data Engineer, you will play a crucial role in designing, developing, and optimizing big data solutions using Apache Spark, Scala, and Elasticsearch. You will collaborate with cross-functional teams to build scalable and efficient data processing pipelines and search applications. Knowledge and experience in the Compliance / AML domain will be a plus. Working experience with Quantexa tool is a must. Responsibilities: <ul><li>Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives</li><li>Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions</li><li>Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data</li><li>Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data</li><li>Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch</li><li>Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch</li><li>Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards</li><li>Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration</li><li>Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components</li><li>Ensure data quality and integrity throughout the data processing lifecycle</li><li>Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques</li><li>Optimize data engineering workflows for containerized deployment and efficient resource utilization</li><li>Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability</li><li>Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance</li><li>Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements</li><li>Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure</li><li>Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference </li></ul>Requirements: <ul><li>Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field</li><li>Must be Quantexa certified data engineer / data architect and proficient with the tool</li><li>Proven experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments</li><li>Proficiency in Scala programming language and familiarity with functional programming concepts</li><li>Experience with Quantexa tool is highly preferred</li><li>In-depth understanding of Apache Spark architecture, RDDs, DataFrames, and Spark SQL</li><li>Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)</li><li>Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes</li><li>Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java</li><li>Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)</li><li>Experience with Graphana, Prometheus, Splunk will be an added benefit</li><li>Experience integrating and working with Elasticsearch for data indexing and search applications</li><li>Solid understanding of Elasticsearch data modeling, indexing strategies, and query optimization</li><li>Experience with distributed computing, parallel processing, and working with large datasets</li><li>Proficient in performance tuning and optimization techniques for Spark applications and Elasticsearch queries</li><li>Strong problem-solving and analytical skills with the ability to debug and resolve complex issues</li><li>Familiarity with version control systems (e.g., Git) and collaborative development workflows</li><li>Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams</li><li>Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus</li></ul>

Calculate Moving Average	SQL	Easy
Predict Customer Churn	Machine Learning	Medium
A/B Test Significance	Statistics	Medium
Optimize Query Performance	SQL	Hard
Feature Importance Analysis	Machine Learning	Medium
Clean Missing Data	Python	Easy
Neural Network Architecture	Deep Learning	Hard
Calculate Cohort Retention	SQL	Medium
Bayesian Probability	Statistics	Easy
Recommend Similar Products	Machine Learning	Hard

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