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Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.

What factors could have biased this result, and what would you look into?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

Statistics

Let’s say you work for a social media company that has just done a launch in a new city. Looking at weekly metrics, you see a slow decrease in the average number of comments per user from January to March in this city.

The company has been consistently growing new users in the city from January to March.

What are some reasons why the average number of comments per user would be decreasing and what metrics would you look into?

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

Decreasing Comments

How would you investigate a decline in the average number of comments per user?

Product Metrics

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

What is a key disadvantage of the F-test when compared to multiple t-tests?

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

<h3>Job Description</h3><div>Job Description<div>VP, IT Compliance Systems Business Analyst with Financial ExperienceMust have Jira, Confluence, ServiceNow, and SQLMUST be local to New York City, Hybrid Schedule at least 3 days onsiteSalary Range: $111k to $165kNo Sponsorship AvailableIn this role you will bridge business needs and IT solutions within the compliance field. This role involves analyzing requirements, designing technology solutions, and ensuring effective implementation and maintenance of compliance systems. The ideal candidate will collaborate with stakeholders to gather requirements, define project scope, and ensure regulatory alignment.Responsibilities include developing and enhancing compliance systems such as case management, regulatory reporting, and surveillance tools. The ideal candidate will identify process improvement opportunities and implement technologies to streamline workflows and reduce manual work. Additionally, they will monitor and mitigate risks in compliance technology projects, ensuring data integrity and security.The ideal candidate should have a strong background in IT compliance, business analysis, and project management, with a deep knowledge of regulatory requirements and industry standards. Excellent analytical, problem-solving, and communication skills are essential.Key Responsibilities:<ul><li>Translate complex compliance and regulatory requirements into clear, actionable technical specifications. Lead the analysis and design of compliance technology solutions, including surveillance, case management, and regulatory reporting systems. Identify and implement process improvements to enhance compliance workflows and reduce manual interventions.</li><li>Collaborate with cross-functional teams including Compliance, IT, Risk, and external vendors to define project scope and deliverables. Assist in the planning, execution, and delivery of compliance technology projects, ensuring they align with business objectives and regulatory standards. Manage project documentation, timelines, and deliverables using JIRA and Confluence. Support full project lifecycle from requirements gathering through UAT and post-implementation review.</li><li>Support the development and enhancement of compliance systems, including case management, regulatory reporting, and surveillance tools.</li><li>Ensure that all compliance technology solutions meet regulatory requirements and industry standards.</li><li>Identify opportunities for process improvements and implement technologies to streamline compliance workflows and reduce manual intervention.</li><li>Prepare and present regular reports on compliance technology initiatives, project status, and key outcomes to senior management.</li></ul>Qualifications:<ul><li>Bachelor's degree in IT, Computer Science, Business Administration, or related field; advanced degree preferred.</li><li>10+ years in IT compliance, business analysis, or related roles in financial services.</li><li>Proficiency in compliance tech solutions, regulatory reporting systems, and case management tools. Required: SQL, Oracle, Snowflake, Power BI, and reporting mockup design tools. Programming languages and database management a plus.</li><li>In-depth understanding of AML, sanctions screening, restricted data, employee trading monitoring, electronic communication surveillance, and regulatory reporting standards.</li><li>Strong analytical and problem-solving abilities to translate business needs into technical requirements and resolve complex compliance issues.</li><li>Excellent interpersonal and communication skills for effective collaboration with stakeholders at all levels.</li><li>Experience in supporting large-scale IT projects, with a solid understanding of project management methodologies (e.g., Agile).</li><li>In-depth knowledge of regulatory requirements and industry standards related to compliance technology. Deep understanding of financial regulations and industry standards (SEC, FINRA, GDPR, etc.)</li></ul>Key Outcomes:<ul><li>Improved compliance monitoring and surveillance capabilities.</li><li>Streamlined compliance processes and reduced manual intervention.</li><li>Successful support of compliance technology projects within budget and timeline.</li></ul></div></div>

<h3>Job Description</h3><div>Job Description<div>Senior Data & Platform Engineer (Market Risk Tech)MUST be local to New York City, Hybrid ScheduleSalary: >$180kNo Sponsorship AvailableRole: Build data services and Spark pipelines on Kubernetes and Databricks. Own end-to-end delivery with strong SDLC and mentor junior engineers. Financial-risk experience required, with Market Risk strongly preferred (CCR or Liquidity also acceptable).Responsibilities:<ul><li>Develop Java/Python services and SQL/Spark ETL on Databricks.</li><li>Containerize and deploy to Kubernetes with full observability.</li><li>Enforce strong SDLC: reviews, testing, CI/CD, monitoring.</li><li>Deliver audit-ready data contracts; partner with risk teams.</li><li>Lead code reviews, coaching, and incident RCAs.</li></ul>Requirements:<ul><li>6+ years engineering; expert in Java, Python, SQL.</li><li>Spark/Databricks proficiency (Delta, performance tuning).</li><li>Production Kubernetes experience.</li><li>Strong CI/CD and SDLC discipline.</li><li>Deep knowledge of one or more risk areas, preferably Market Risk.</li></ul>Nice to Have: Basel/FRTB/CCAR, Unity Catalog/DLT, Terraform, Kafka, Airflow, secure APIs, reconciliation/limits tooling.</div></div>

<h3>Job Description</h3><div>Job Description<div>Business/Data Analyst (VP Level) Hybrid Schedule at least 3 days onsite-NYC or Iselin NJ Salary Range: $111k to $175k No Sponsorship Available Financial Data warehousing, and experience doing data integration into a data warehouse (like a cloud/dimensional warehouse). Knowledge of products like derivatives, paper loans, commercial paper, cash, or equities as well as the product and data footprint underneath that product. You will perform core analysis on how to bring that data into the data warehouse. You need Data profiling skills (SQL coding), data mapping skills and will do data model enhancement.Additionally, as the Data SME you will collaborate under agile project methodology, participate in daily scrum meetings, and assist in compiling necessary documentation for testing results.Responsibilities <ul><li>Become SME on source system data attribution for alignment to data warehouse sourcing and analytic efforts</li><li>Review daily transaction positions for reference and customer data for bank and security side</li><li>Conduct business/data analysis and research to validate new requirements and identify patterns and inconsistencies of data across sources and targets</li><li>Use automated tools to extract data from primary and secondary sources</li><li>Filter Data by comparing results in sources and targets to identify and correct code problems</li><li>Use statistical tools to identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis of exception requirements</li><li>Report on common sources of technical issues or questions and make recommendations to development team</li><li>Participate in validating functional requirements, design specifications, testing analysis</li><li>Mapping of source system data attributes to target destination, including transformation specifications as required</li></ul>Qualifications: <ul><li>7+ in Business or Data Analyst role in Finance industry</li><li>Subject Matter Expertise with one or more of the following products or subject areas from a data level: Derivatives (OTC,ETD), SFT/Repo, Cash/Bonds, Commercial Paper Loans, Deposits, General Ledger; Regulatory Reporting for Banks</li><li>Strong mathematical skills to help collect, measure, organize and analyze data</li><li>Strong documentation and specification writing</li><li>Understanding of Database Design concepts in a Datawarehouse environment</li><li>Hands on technical skills supporting data analysis:</li><li>Programming languages such as SQL, and Python</li><li>Technical proficiency regarding database design development, and data models</li><li>Proficiency in statistics and statistical packages like Excel, SPSS, SAS to be used for data set analysis.</li><li>Familiarity/experience with SnowSQL a plus</li><li>Data visualization and data analysis experience is preferred (PowerBi, Tableau)</li><li>Experience with project management tools such as Jira, Trello, and Confluence</li></ul></div></div>

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Decreasing Comments	Product Metrics	Easy	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High

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