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Mphasis Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

Mphasis Interview Guides

Let’s say you work as a machine learning engineer at a SaaS company developing a generative AI platform that processes sensitive user data. You are tasked with designing the system to ensure user privacy throughout data ingestion, model training, and product deployment.
How would you architect this system to safeguard user privacy?

Design a generative AI system that protects user privacy end-to-end.

Generative AI Privacy

Responsible AI & Security

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?

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?

Mphasis Salaries by Position

ATO Architect – Job Description Who are we looking for?We are seeking a seasoned IT Solution Architect with 20+ years of experience in designing and implementing enterprise-level IT solutions across diverse technology stacks. The ideal candidate will have a strong background in architecture strategy, cloud platforms, integration frameworks, and enterprise systems. This role requires a holistic view of business and technology, excellent communication skills, and the ability to lead cross-functional teams in delivering scalable, secure, and high-performing solutions. Technical Skills:<ul><li>Proven experience in enterprise architecture, solution design, and system integration</li><li>Strong understanding of architectural frameworks (TOGAF, Zachman, etc.)</li><li>Expertise in cloud platforms such as AWS, Azure, and GCP</li><li>Experience with microservices architecture, API management, and containerization (Docker, Kubernetes)</li><li>Proficiency in enterprise integration patterns, messaging systems (Kafka, RabbitMQ) etc.</li><li>Familiarity with DevOps practices and tools (CI/CD pipelines, Jenkins, GitHub, Terraform, etc.)</li><li>Knowledge of data architecture, including relational and NoSQL databases (Oracle, SQL Server, PostgreSQL, MongoDB, Redis)</li><li>Experience with security architecture, identity management (OAuth2, SAML), and compliance standards</li><li>Exposure to application modernization, legacy system transformation, and cloud-native development</li><li>Hands-on experience with modeling tools (e.g., ArchiMate, Enterprise Architect, Visio)</li><li>Good understanding of AI/GenAI/Agentic AI platforms, tools, LLMs and their integration with on-prem /cloud native systems</li><li>Ability to work along with Sales and Delivery teams and propose technology solution, estimates and implementation plans for new opportunities and deals</li></ul> Professional Skills:<ul><li>Ability to define and drive end-to-end solution architecture for complex enterprise initiatives</li><li>Strong analytical and problem-solving skills with a strategic mindset</li><li>Excellent communication and presentation skills; able to articulate complex concepts to both technical and non-technical stakeholders</li><li>Comfortable working in fast-paced, agile environments with distributed teams</li><li>Demonstrated leadership in cross-functional collaboration and stakeholder management</li><li>Skilled in preparing architecture blueprints, solution designs, and integration strategies</li><li>Capable of evaluating emerging technologies and recommending adoption strategies</li><li>Resourceful and adaptable, with the ability to manage ambiguity and drive clarity in complex technical landscapes</li><li>High level of comfort working with offshore and onshore teams across organizational levels</li></ul> Qualification:<ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field</li><li>20+ years of experience in IT, with prior experience as a Technical /Solution Architect being a must</li><li>Certifications in cloud platforms (e.g., AWS Certified Solutions Architect, Azure Solutions Architect Expert) are a plus</li></ul>

Job Description: - Experience - 15 + Years Location - Chennai, India Who are we looking for? As a Senior Data Architect in the BFSI domain, you will be responsible for designing and governing data architecture across core banking, Wealth Management and financial platforms. You’ll lead initiatives that span legacy systems (mainframes) to modern cloud-native and NoSQL solutions, ensuring regulatory compliance, data lineage, and high availability for mission-critical applications. Key Responsibilities:<ul><li>Architect scalable data solutions for core banking, Wealth Management, risk management, fraud detection, and regulatory reporting.</li><li>Design data models for transactional systems, data warehouses, and real-time analytics platforms.</li><li>Lead data migration from legacy systems (e.g., DB2, VSAM) to cloud platforms like Snowflake, Azure Synapse, or Google Big Query. Lead Data migration from Oracle to Postgres, SQL Server to Postgres </li><li>Collaborate with compliance teams to ensure data governance, auditability, and regulatory alignment (e.g., Basel III, IFRS, GDPR).</li><li>Build and optimize ETL/ELT pipelines for high-volume financial data using tools like Informatica, Talend, Apache NiFi, or Azure Data Factory.</li><li>Integrate data across core banking systems, Wealth Management Systems, CRM, insurance platforms, and digital channels.</li><li>Define metadata standards, lineage tracking, and master data management frameworks.</li><li>Mentor data engineers and analysts; contribute to architectural reviews and BFSI-specific best practices.</li></ul> Domain Expertise:<ul><li>Deep understanding of BFSI data domains: customer, account, transaction, trading, portfolios, positions, credit, risk, claims, policy, and underwriting.</li><li>Experience with financial data modeling, including ledger structures, risk hierarchies, and regulatory taxonomies.</li></ul> Data Modeling & Architecture:<ul><li>Proficiency in Erwin, Power Designer, or Toad Data Modeler.</li><li>Experience with 3NF, dimensional modeling, data vault, and canonical models.</li></ul> Cloud & DevOps:<ul><li>Hands-on with GCP data services AWS, Azure</li><li>Familiarity with Terraform, Git, CI/CD, Docker, Kubernetes</li></ul> Governance & Security:<ul><li>Tools: Collibra, Alation, Apache Atlas</li><li>Practices: Data lineage, masking, encryption, RBAC, audit trails</li></ul> Programming & Scripting:<ul><li>SQL, Python, Shell scripting, Scala (optional)</li></ul> Key Responsibilities:<ul><li>Architect scalable data solutions for core banking/wealth management, risk management, fraud detection, and regulatory reporting.</li><li>Design data models for transactional systems, data warehouses, and real-time analytics platforms.</li><li>Lead data migration from legacy systems (e.g., DB2, VSAM) to cloud platforms like Snowflake, Azure Synapse, or Google Big Query. Lead Data Migration between multiple databases like Oracle to Postgres.</li><li>Collaborate with compliance teams to ensure data governance, auditability, and regulatory alignment (e.g., Basel III, IFRS, GDPR).</li><li>Build and optimize ETL/ELT pipelines for high-volume financial data using tools like Informatica, Talend, Apache NiFi, or Azure Data Factory.</li><li>Integrate data across core banking systems, CRM, insurance platforms, and digital channels.</li><li>Define metadata standards, lineage tracking, and master data management frameworks.</li><li>Mentor data engineers and analysts; contribute to architectural reviews and BFSI-specific best practices.</li></ul> Preferred Qualifications:<ul><li>Bachelor’s/master’s in computer science, Information Systems, or Finance</li><li>Certifications: GCP Certification, AWS Data Analytics, Azure Data Engineer, CDMP (DAMA), TOGAF</li><li>Experience with financial regulations and reporting standards (e.g., BCBS 239, FATCA)</li></ul> About Mphasis Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.

Job Description: Technical Skills: · 7+ years experience o Contributing to the architecture and design (architecture, design patterns, reliability, and scaling) of new and current systemso Service oriented architecture o Java 8,Java 17 / Spring framework/Spring boot / Spring batch/J2EE /Hibernate/ JSON / JS / JSP / Microservices / Restful APIs / SOAP APIs / Oracle & My SQLo SQLo Gradle o JSF (JavaServer Faces), PrimeFaceso JavaScript/React,jso Spring Data JPAo UI development: Vue, HTML, and CSS· Comfort and experience with complex web applications and backend services in a modern product-focused development environment including things like version control (Git), test driven development, continuous integration and deployment (CI/CD) and agile development processes.· Capability to understand pros/cons and make appropriate recommendations related to rewrite vs. patching legacy application pages (familiarity with YUI/Jquery necessary)· Possess the ability and drive to work through challenging problems independently while keeping the team informed of progress and blockers.· Self-starter and independent with a strong sense of ownership and responsibility for work· Ability to handle ambiguity, communicate well with partner teams, and empathize with customers.· Excellent teamwork and interpersonal skills – ability to communicate the results of your efforts to project team members and stakeholders in a clear, concise, and timely manner.· Knowledge or interest in learning how to expand our utilization of AWS’s capabilities (EC2, Serverless, Lambda, and more)Process Skills: · Capable of analyzing requirements and develop software as per project defined software process.· Develop and peer review of LLD (Initiate/ participate in peer reviews)· Ability to execute test plans, create test cases test data and contribute to appropriate software (including programming languages) development life cycle methodology and application of specialized business and technical knowledge.Behavioral Skills :· Resolve technical issues of projects and explore alternate designs.· Participates as a team member and fosters teamwork by inter-group coordination within the modules of the project.· Effectively collaborates and communicates with the stakeholders and ensure client satisfaction.· Train and coach members of project groups to ensure effective knowledge management activity.Certification:SkillsPRIMARY COMPETENCY : EWT / Portal PRIMARY SKILL : Full Stack - Java PRIMARY SKILL PERCENTAGE : 90 SECONDARY COMPETENCY : UI Development SECONDARY SKILL : React JS SECONDARY SKILL PERCENTAGE : 10

Job Title: Competitive Solutioning Data AnalystLocation: Bangalore Job Summary:This role is based in India with a tactical focus on the data analysis of highly segmented, incomplete IT Services pricing and solution data. The Competitive Solutioning Data Analyst (CSDA) will collect, clean, rationalize, and analyze solution and price data from multiple sources including from within Mphasis. These data are used to populate a suite of solution estimation and pricing tools. Responsibilities:<ul><li>Tool Creation</li><li>Create a suite of solution, cost, & price estimation tools</li><li>Develop a data collection plan to populate those tools with market benchmarks</li><li>Data analysis</li><li>Rationalize differing data on solution, cost, & price for IT services, SW, & HW</li><li>Gather data from multiple sources external to Mphasis</li><li>Make recommendations based on data findings</li><li>Reporting</li><li>Create an executive-level reporting packages of results, data findings, market trends, and status</li><li>Collaborate with opportunity pursuit teams</li><li>Continuous Improvement</li><li>Improve the Competitive Solutioning team’s capabilities</li><li>Recommend tool enhancements</li></ul> Required Qualifications:<ul><li>8+ years of experience in the IT Services industry.</li><li>5+ years’ experience doing data analysis with incomplete and “dirty” datasets.</li><li>Comprehensive understanding of Profit & Loss toolset components.</li><li>Experience with estimation, costing, and pricing data.</li><li>Experience in gathering and using benchmark data from third party sources.</li><li>Exceptional data analysis skills.</li><li>Strong creative problem-solving skills.</li><li>Detail oriented</li><li>Self-motivated and entrepreneurial.</li><li>Excellent verbal and written communication skills.</li><li>Bachelor’s degree in computer science or Math or Statistics or equivalent experience. </li><li>Deep skills in Advanced Excel, including Excel Logical Functions, Lookup Functions, Visual Basic, and Automation functions such as VBA Macros</li><li>Strong skills in creating clear and concise Microsoft PowerPoint presentations for Executive-level reviews</li><li>Experience with Power BI and Power Apps is preferred</li></ul> About Mphasis:Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis’ Front2Back™ Transformation approach. Front2Back™ uses the exponential power of cloud and cognitive to provide hyper-personalized (C=X2C2TM=1) digital experience to clients and their end customers. Mphasis’ Service Transformation approach helps ‘shrink the core’ through the application of digital technologies across legacy environments within an enterprise, enabling businesses to stay ahead in a changing world. Mphasis’ core reference architectures and tools, speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.Equal Opportunity Employer:Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex (including pregnancy, breast feeding and related medical conditions), mental or physical disability, medical conditions military and veteran status or any other status or condition protected by applicable federal, state, or local laws, governmental regulations and executive orders. View the EEO in the law poster here, view the EEO in the law supplement here. To view the pay transparency nondiscrimination provision please click here and to view the E-Verify posting click here. Mphasis is committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of disability to search and apply for a career opportunity, please send an email to accomodationrequest@mphasis.com and let us know your contact information and the nature of your request.

Question	Topic	Difficulty	Ask Chance
Generative AI Privacy	Responsible AI & Security	Hard	Very High
Boarding Times Bias	Statistics	Medium	Very Low
Hundreds of Hypotheses	Statistics	Medium	Very Low

Mphasis Interview Questions

Mphasis Interview Guides

Mphasis Interview Questions

Mphasis Salaries by Position

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