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<div style=""><b style="font-weight: 700">Roles &amp; Responsibilities:</b></div><div style="">· Seeking a Consumer Credit Risk Lead / Senior Consultant to oversee underwriting and account management policy implementation, including independent portfolio performance assessment and credit risk reporting to senior leadership and regulators.</div><div style="">· The role involves developing, monitoring, and periodically recalibrating the Credit Risk Management Framework, including risk appetite, limits, and quantitative risk metrics. Responsibilities also include ensuring strong governance and documentation for credit risk committees, audits, and regulatory reviews.</div><div style=""><b style="font-weight: 700">Primary Skills</b></div><div style="">1. Credit Policy &amp; Underwriting Strategy:</div><div style="">§ Origination Risk: Establish and refine the credit policy for new account approvals, including FICO/VantageScore cut-offs, Debt-to-Income (DTI) thresholds, and income verification rules.</div><div style="">§ Risk Appetite Framework: Define and monitor the portfolio's risk appetite, ensuring that approval rates and initial line assignments align with the bank’s targeted risk-adjusted return on capital (RAROC).</div><div style="">§ Alternative Data: Evaluate and integrate alternative credit data sources (e.g., cash flow underwriting, utility data) to safely expand credit access to thin-file or no-file US consumers.</div><div style="">2. Portfolio Risk Management (ECM Risk):</div><div style="">§ Exposure Management: Develop proactive Credit Limit Decrease (CLD) and account closure strategies to mitigate exposure to deteriorating credit profiles.</div><div style="">§ Behavioral Scoring: Oversee the development and calibration of internal behavioral risk scorecards to predict the Probability of Default (PD) for existing cardholders.</div><div style="">§ Overlimit &amp; Authorizations: Design authorization strategies that minimize bust-out fraud and high-risk overlimit spend.</div><div style="">3. Loss Forecasting &amp; Stress Testing:</div><div style="">§ CECL / Reserving: Partner with the Finance and Modeling teams to develop assumptions for the Current Expected Credit Losses (CECL) framework to ensure adequate loan loss reserves (ALLL).</div><div style="">§ CCAR / DFAST: Lead the credit card portfolio's inputs for the Comprehensive Capital Analysis and Review (CCAR) and Dodd-Frank Act Stress Testing (DFAST), modeling how the portfolio will perform under severe macroeconomic downturns.</div><div style="">§ Vintage &amp; Roll Rate Analysis: Monitor delinquency roll rates (e.g., 30-to-60 day, 60-to-90 day) and Net Charge-Off (NCO) vintages to identify emerging risk trends.</div><div style="">4. Collections &amp; Recovery Strategy:</div><div style="">§ Pre-Delinquency &amp; Early Stage: Design data-driven, omni-channel contact strategies (SMS, email, phone) for customers exhibiting early signs of financial distress.</div><div style="">§ Treatment Optimization: Optimize settlement offers, forbearance programs, and payment plans to maximize recovery rates and minimize ultimate charge-offs.</div><div style="">5. Regulatory Compliance &amp; Governance:</div><div style="">§ Regulatory Exams: Serve as a subject matter expert during internal audits and external regulatory exams conducted by the OCC, CFPB, or FDIC.</div><div style="">§ Fair Lending &amp; ECOA: Rigorously monitor all risk policies and models for disparate impact to ensure full compliance with the Equal Credit Opportunity Act (Regulation B).</div><div style="">§ Model Risk Management: Ensure all risk models comply with SR 11-7 (Supervisory Guidance on Model Risk Management).</div><div style="">6. Business Acumen: Deep understanding of the credit card P&amp;L, specifically how risk metrics (Probability of Default, Exposure at Default, Loss Given Default, Net Charge-Offs) impact the bottom line.</div><div style="">7. Analytical Problem Solving: Ability to leverage massive datasets (bureau attributes, transaction data, macroeconomic indicators) to identify hidden risks before they materialize into losses.</div><div style="">8. Policy Implementation and Monitoring: Oversee and report on underwriting and account management policies, including independent assessment of portfolio performance, compliance with credit policy, and comprehensive credit risk reporting to leadership and regulators. This involves reviewing proposed policy changes and monitoring portfolio risk.</div><div style="">9. Governance and Documentation: Ensure governance for credit risk committees by tracking agenda items, recording meeting minutes, and maintaining relevant documentation for audit and regulatory purposes.</div><div style="">10. Technical Skills:</div><div style="">§ Expert-level proficiency in SQL and relational databases.</div><div style="">§ Strong programming skills in Python, R, or SAS for statistical modeling and data analysis.</div><div style="">§ Experience building automated risk dashboards in Tableau or PowerBI.</div><div style="">11. Credit Card and banking industry experience 6 – 10+ years.</div>

TA India - Bangalore - ODC

BFS_Consumer Credit Risk_Senior / Lead Consultant 

<div style=""><b style="font-weight: 700">About the role:</b></div><div style="">Seeking a Consultant – ECM Analytics with strong experience in US credit card customer lifecycle analytics and</div><div style="">hands-on skills in Python, SQL, Excel, and presentation tools. The role covers activation and early engagement</div><div style="">analytics, spend stimulation and usage analysis, next-best-action (NBA) modeling, and revenue growth initiatives</div><div style="">such as cross-sell, up-sell, and credit limit increase strategies. Responsibilities also include retention and loyalty</div><div style="">analytics, churn prediction, and support for risk and collections analytics. The candidate should be able to</div><div style="">translate advanced analytics into actionable insights across the end-to-end customer lifecycle.</div><div style=""><b style="font-weight: 700">Skills &amp; Qualification:</b></div><div style="">ECM analytics in below areas for US credit card market with technical skills of python, SQL, excel, PPT</div><div style="">1. Activation &amp; Early Engagement Analytics; Activation Modeling, First Use Analysis, Early Churn Prediction.</div><div style="">2. Spend Stimulation &amp; Usage Analytics; Wallet Share Estimation, Merchant Category Analysis, Next Best Action (NBA) Models.</div><div style="">3. Strategic Portfolio Growth &amp; Revenue: Credit Line Management (CLI/CLD): Develop, test, and optimize proactive and reactive Credit Limit Increase (CLI) and Credit Limit Decrease (CLD) strategies to drive spend while controlling exposure.</div><div style="">4. Pricing &amp; Promotional Strategies: Design targeted Balance Transfer (BT), Direct Deposit, and promotional APR campaigns (e.g., 0% for 12 months) using propensity and elasticity models.</div><div style="">5. Cross-sell &amp; Upgrades: Identify "top of wallet" opportunities and build data-driven strategies to upgrade customers to premium products or cross-sell adjacent financial products (e.g., personal loans, retail banking).</div><div style="">6. Risk Mitigation &amp; Authorizations: Behavioral Risk Management: Partner with the Credit Risk team to develop and refine behavioral scorecards, identifying early warning signals of default or bust-out fraud.</div><div style="">7. Authorization &amp; Overlimit Strategies: Optimize point-of-sale authorization strategies and overlimit policies to balance customer friction with fraud/credit risk.</div><div style="">8. Retention &amp; Loyalty: Churn Prevention: Build predictive models to identify attrition-risk segments and deploy proactive retention treatments (e.g., fee waivers, bonus rewards) based on Customer Lifetime Value (LTV).</div><div style="">9. Spend Stimulation: Analyze Merchant Category Code (MCC) data to design targeted spend-stimulation campaigns for dormant or low-engagement accounts.</div><div style="">10. Risk, Controls &amp; Collections Analytics; Net-credit-loss analyses, early delinquency monitoring and quick action before more losses incurred.</div><div style="">11. Regulatory &amp; Compliance Oversight: Ensure all ECM strategies strictly comply with US regulatory requirements, including the CARD Act, ECOA (Regulation B), FCRA, and UDAAP.Work closely with internal Legal, Compliance, and Fair Lending teams to ensure models and strategies do not introduce disparate impact.</div><div style="">12. Having 4 to 6 years of experience.Python</div>

BFS_Consultant – ECM Analytics

<div style=""><b style="font-weight: 700">About the role:</b></div><div style="">We are seeking a Credit Card Acquisition Analytics with strong experience in the US credit card and banking domain and sound understanding of US regulatory requirements. The role involves supporting credit card acquisition analytics, including approval strategies, credit line assignment, and risk metrics such as PD and LGD.</div><div style=""><b style="font-weight: 700">Skills &amp; Qualification:</b></div><div style="">1. Acquisition Strategy &amp; Underwriting:</div><ul>  <li style="">Credit Policy &amp; Approval: Develop and refine data-driven underwriting strategies to optimize approval rates while strictly controlling for initial credit risk and early default.</li>  <li style="">Initial Line Assignment (ILA): Design and test initial credit limit strategies that balance the customer's purchasing power needs with the bank's risk appetite.</li>  <li style="">Targeting &amp; Segmentation: Leverage credit bureau data (e.g., FICO, VantageScore, tradeline data) and alternative data sources to identify high-value prospect segments.</li></ul><div style="">2. Channel Optimization &amp; Marketing Analytics:</div><ul>  <li style="">Channel Strategy: Own the performance and profitability of key acquisition channels, including Direct Mail (Pre-screened offers), Digital/Performance Marketing, Affiliates/Aggregators (e.g., Credit Karma, NerdWallet), and Retail Branches.</li>  <li style="">Offer Optimization: Design and execute A/B tests for sign-up bonuses (SUBs), introductory APR offers (e.g., 0% for 15 months), and annual fee structures to maximize response rates and Return on Investment (ROI).</li>  <li style="">Customer Acquisition Cost (CAC): Continuously monitor and optimize CAC across all channels to ensure alignment with financial targets.</li></ul><div style="">3. Financial Modeling &amp; Performance Tracking:</div><div style=""><br></div><ul>  <li style="">NPV &amp; Profitability: Build and manage Net Present Value (NPV) models to evaluate the lifetime profitability of new acquisition vintages.</li>  <li style="">Vintage Tracking: Monitor the performance of newly acquired cohorts (delinquency roll rates, early month on book activation, and spend behavior) and adjust front-end strategies accordingly.</li></ul><div style="">4. Regulatory &amp; Compliance Oversight:</div><div style=""><br></div><ul>  <li style="">US Regulation Compliance: Ensure all targeting, underwriting, and marketing strategies strictly comply with US regulations, particularly the Equal Credit Opportunity Act (ECOA/Reg B), Fair Credit Reporting Act (FCRA), Truth in Lending Act (TILA/Reg Z), and UDAAP.</li>  <li style="">Fair Lending: Partner intimately with Legal and Compliance to rigorously test acquisition models and marketing criteria for disparate impact or fair lending risks.</li></ul><div style="">5. US Credit Card &amp; regulations knowledge</div><div style="">6. Strong proficiency in Python (PySpark), SQL, Excel and presentation tools to deliver analytical insights. Exposure to Tableau/Power BI</div><div style="">7. Ability to clearly communicate analytical outcomes to business and risk stakeholders is essential.</div><div style="">8. 4 to 6 years of experience in credit card and US market</div>

BFS_Credit Card Acquisition Analytics

<div style=""><b style="font-weight: 700">Title: Senior Software Engineer / Product Engineer - Java&nbsp;+ React</b></div><div style="">Location: Chennai, Bangalore, Hyderabad</div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are</b></div><div style="">Tiger &nbsp;&nbsp;Analytics is a global leader in AI and analytics, helping Fortune 1000 &nbsp;&nbsp;companies solve their toughest challenges. We offer full-stack AI and &nbsp;&nbsp;analytics services &amp; solutions to empower businesses to achieve real &nbsp;&nbsp;outcomes and value at scale. We are on a mission to push the boundaries of &nbsp;&nbsp;what AI and analytics can do to help enterprises navigate uncertainty and &nbsp;&nbsp;move forward decisively. Our purpose is to provide certainty to shape a &nbsp;&nbsp;better tomorrow.</div><div style="">Our team of &nbsp;&nbsp;4000+ technologists and consultants are based in the US, Canada, the UK, &nbsp;&nbsp;India, Singapore and Australia, working closely with clients across CPG, &nbsp;&nbsp;Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of &nbsp;&nbsp;our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our &nbsp;&nbsp;dedication to innovation and excellence.</div><div style="">We are a &nbsp;&nbsp;Great Place to Work-Certified™ (2022-25), recognized by analyst firms such as &nbsp;&nbsp;Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among &nbsp;&nbsp;the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial &nbsp;&nbsp;Times, Economic Times and Analytics India Magazine.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Curious about the role? What your typical day would look like?</b></div><div style="">We are looking for a highly motivated Backend Engineer with strong expertise in Java, Spring Boot, Kafka, and Microservices architecture. The ideal candidate should have hands-on experience building scalable APIs and event-driven systems deployed on Azure or GCP.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Key Responsibilities</b></div><div style="">&nbsp;Design and develop scalable backend applications using Java and Spring Boot</div><div style="">Build RESTful APIs and microservices-based architectures</div><div style="">Implement event-driven systems using Apache Kafka</div><div style="">Develop and deploy cloud-native applications on Azure or GCP</div><div style="">Write clean, maintainable, and testable code following best practices</div><div style="">Collaborate with cross-functional teams including data engineers and frontend developers</div><div style="">Participate in code reviews, sprint planning, and agile ceremonies</div><div style="">Ensure performance, scalability, and security of applications</div><div style=""><b style="font-weight: 700">Required Skills</b></div><ul>  <li style="">4– 8 years of experience in backend development</li>  <li style="">Strong proficiency in Core<b style="font-weight: 700"> Java (Java 8+)</b></li>  <li style="">Hands-on experience with <b style="font-weight: 700">Spring Boot</b></li>  <li style="">Hands-on experience with<b style="font-weight: 700"> React</b></li>  <li style="">Experience building Microservices architecture</li>  <li style="">Working knowledge of Apache Kafka</li>  <li style="">Experience deploying applications on Azure or GCP</li>  <li style="">Good understanding of REST APIs, JSON, and API security</li>  <li style="">Familiarity with CI/CD pipelines and containerization (Docker preferred)</li>  <li style="">Strong problem-solving and debugging skills</li></ul><div style=""><b style="font-weight: 700">Good to Have</b></div><div style="">Exposure to Kubernetes</div><div style="">Experience working with distributed systems</div><div style="">Knowledge of design patterns and system design basics</div><div style=""><br></div><div style=""><b style="font-weight: 700">You are important to us, let’s stay connected!</b></div><div style="">Every individual comes with a different set of skills &nbsp;&nbsp;and qualities so even if you don’t tick all the boxes for the role today, we &nbsp;&nbsp;urge you to apply as there might be a suitable/unique role for you tomorrow. &nbsp;&nbsp;We are an equal-opportunity employer. Our diverse and inclusive culture and &nbsp;&nbsp;values guide us to listen, trust, respect, and encourage people to grow the &nbsp;&nbsp;way they desire.</div><div style=""><br></div><div style="">Note: The designation will be commensurate with expertise and &nbsp;&nbsp;experience. Compensation packages are among the best in the industry.</div><div style=""><em>Additional &nbsp;&nbsp;Benefits: Health insurance (self &amp; family), virtual wellness platform, &nbsp;&nbsp;and knowledge communities.</em></div>

Kandanchavadi - OMR Chennai (Offshore Delivery Centre) 

Senior Engineer / Lead - Java + React

<div style=""><br></div><div style="">&nbsp;We are seeking an experienced Operations Tech Lead ( 8+years) to oversee and manage Data Warehouse (DWH) projects. The ideal candidate will have strong expertise in DBT, Snowflake, and Power BI, along with a solid understanding of data engineering best practices, data modeling (Data Vault 2.0), and operational excellence. This role involves leading technical operations, ensuring smooth delivery of data solutions, and collaborating with cross-functional teams.</div><div style=""><br></div><div style="">· Lead Operations for DWH Projects: Manage day-to-day operations for data warehouse systems and pipelines. Ensure high availability, performance, and reliability of data platforms.</div><div style="">· Technical Leadership: Provide guidance on DBT transformations, Snowflake architecture, and Power BI reporting. Review and optimize SQL queries, DBT models, and data flows.</div><div style="">· Monitoring &amp; Incident Management: Implement monitoring tools and processes for proactive issue detection. Troubleshoot and resolve data pipeline failures and performance bottlenecks.</div><div style="">· Process Improvement: Drive automation for operational tasks and deployments. Establish best practices for version control, CI/CD, and data quality checks.</div><div style="">· Collaboration: Work closely with Data Engineers, BI Developers, and Business Analysts. Communicate effectively with stakeholders on project status and operational metrics.</div>

Operations Tech Lead – DWH Projects (DBT, Snowflake, Power BI) 

<div style=""><b style="font-weight: 700">Job Title: Senior/Lead AIML Engineer (Data Science)</b></div><div style=""><b style="font-weight: 700">Locations: Chennai | Hyderabad | Bangalore</b></div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are</b></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.</div><div style="">Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.</div><div style="">We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine</div><div style=""><br></div><div style=""><b style="font-weight: 700">Curious about the role? What your typical day would look like?</b></div><div style="">As a Senior/Lead AIML Engineer, Your role will involve</div><ul>  <li style="">Lead and contribute to developing sophisticated machine learning models, predictive analytics, and statistical analyses to solve complex business problems.</li>  <li style="">Demonstrate proficiency in programming languages such as Python or R, with the ability to write clean, efficient, and maintainable code. Experience with relevant libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn) is essential.</li>  <li style="">Use your robust problem-solving skills to develop data-driven solutions, analyse complex datasets, and derive actionable insights that lead to impactful outcomes.</li>  <li style="">Work closely with clients to understand their business objectives, identify opportunities for analytics-driven solutions, and communicate findings clearly and promptly.</li>  <li style="">Take ownership of end-to-end model development, from problem definition and data exploration to model training, validation, and deployment.</li>  <li style="">Collaborate with cross-functional teams, including data engineers, software developers, and business stakeholders, to integrate analytics solutions into business processes.</li>  <li style="">Leverage a profound understanding of mathematical and statistical principles to guide developing and validating advanced data science models.</li>  <li style="">Stay abreast of industry trends, emerging technologies, and best practices in data science, bringing innovative ideas to the team and contributing to continuous improvement.</li></ul><div style=""><b style="font-weight: 700">What do we expect?</b></div><ul>  <li style="">6-10 years of total DS and model development experience</li>  <li style="">A passion for writing high-quality code (Python), and the code should be modular, scalable, and end-end project execution while planning an active hands-on role</li>  <li style="">Having good problem-solving skills is essential, and it is equally important to have in-depth knowledge to solve complex problems effectively.</li>  <li style="">Comprehensive knowledge of the regression and classification concepts and mathematical backend along with SQL</li>  <li style="">Idea about other machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to their real-world problems</li>  <li style="">Encourage collaboration with various stakeholders and take complete ownership of deliverables.</li>  <li style="">Adept understanding of various data science approaches, machine learning algorithms, and statistical methods.</li>  <li style="">Excellent communication skills with presentability, articulation, storytelling capability, and ability to manage complex client situations</li>  <li style="">Effective mentoring of a team with expertise in industry/domain/functional areas.</li></ul><div style=""><b style="font-weight: 700">You are important to us, let’s stay connected!</b></div><div style="">Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Note:</b> The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.</div><div style="">Additional Benefits: Health insurance (self &amp; family), virtual wellness platform, and knowledge communities.</div>

Sr. AIML Engineer / Lead AIML Engineer (Data Science)

<div style=""><b style="font-weight: 700">Job Title : AIML Sr. Associate / AIML Engineer - Data Science</b></div><div style=""><br></div><div style=""><b style="font-weight: 700">Location</b> <b style="font-weight: 700">: </b>&nbsp;Chennai, Bangalore, Hyderabad</div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are</b></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.</div><div style="">Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.</div><div style="">We are a Great Place to Work-Certified™ (2022-24), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine</div><div style=""><br></div><div style=""><b style="font-weight: 700">Curious about the role? What your typical day would look like?</b></div><div style="">As an AIML Engineer, Your role will involve</div><ul>  <li style=""><b style="font-weight: 700">Analytical Translation:</b> Translate complex business problems into sophisticated analytical structures, conceptualising solutions anchored in statistical and machine learning methodologies.</li>  <li style=""><b style="font-weight: 700">Problem Solving:</b> While technical proficiency in data manipulation, statistical modelling, and machine learning is crucial, the ability to apply these skills to solve real-world business problems is equally vital.</li>  <li style=""><b style="font-weight: 700">Client Engagement:</b> Establish a deep understanding of clients' business contexts, working closely to unravel intricate challenges and opportunities.</li>  <li style=""><b style="font-weight: 700">Algorithmic Expertise:</b> Develop and refine algorithms and models, sculpting them into powerful tools to surmount intricate business challenges.</li>  <li style=""><b style="font-weight: 700">Quantitative Mastery:</b> Conduct in-depth quantitative analyses, navigating vast datasets to extract meaningful insights that drive informed decision-making.</li>  <li style=""><b style="font-weight: 700">Cross-Functional Collaboration:</b>Collaborate seamlessly with multiple teams, including Consulting and Engineering, fostering relationships with diverse stakeholders to meet deadlines and bring Analytical Solutions to life</li></ul><div style=""><b style="font-weight: 700">What do we expect?</b></div><ul>  <li style="">2 -8 years of Relevant Data Science Experience, with demonstrated proficiency and hands-on experience navigating data science complexities.</li>  <li style="">Good communication skills, both verbal and written.</li>  <li style="">Exhibit a fervour for crafting modular, scalable, and bug-free Python code.</li>  <li style="">Comfortable in SQL with additional proficiency in office tools like Excel &amp; PowerPoint.</li>  <li style="">Experience in production engineering best practices (e.g. Git versioning, Docker).</li>  <li style="">Familiarity or experience with working on large data sets and distributed computing (e.g. Hive, Hadoop, Spark)</li>  <li style="">Working knowledge of Cloud platforms (e.g. AWS, Azure, GCP).</li>  <li style="">Excitement to collaborate with diverse stakeholders across the organisation.</li>  <li style="">In-depth understanding of various data science approaches, machine learning algorithms, and statistical methods.</li>  <li style="">Hunger to learn new technologies and embrace the change.</li>  <li style="">Proficiency in foundational concepts and algorithms in machine learning, encompassing regression and classification techniques, and a keen awareness of their assumptions, strengths, and limitations.</li>  <li style="">Must-Have Skills: Regression/Classification/Optimization/ Python Proficiency in these key skills is crucial to thriving in this role.</li></ul><div style=""><b style="font-weight: 700">You are important to us, let’s stay connected!</b></div><div style="">Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Note:</b> The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.</div><div style="">Additional Benefits: Health insurance (self &amp; family), virtual wellness platform, and knowledge communities</div><div style="">External Skills And Expertise</div>

TA India - Chennai - CLO

AIML Sr. Associate / AIML Engineer (Data Science)

<div style=""><b style="font-weight: 700">Job Title: Associate Director AI/ML (GenAI)</b></div><div style=""><b style="font-weight: 700">Locations: Chennai | Hyderabad | Bangalore</b></div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are</b></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.</div><div style="">Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.</div><div style="">We are a Great Place to Work-Certified™ (2022-26), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine</div><div style=""><br></div><div style=""><b style="font-weight: 700">Curious about the role? What your typical day would look like? What do we expect?</b></div><div style=""><br></div><div style="">We are seeking a highly experienced <b style="font-weight: 700">Associate Director – AI/ML with Generative AI expertise</b></div><div style="">to lead the design, development, and deployment of advanced AI solutions. This role will drive</div><div style="">enterprise AI strategy, lead high-performing data science teams, and deliver scalable AI/ML and</div><div style="">GenAI solutions that create business value.</div><div style="">The ideal candidate will have strong experience in <b style="font-weight: 700">Machine Learning, Deep Learning,</b></div><div style=""><b style="font-weight: 700">Generative AI, and enterprise-scale AI platforms</b>, along with proven leadership in delivering</div><div style="">AI-driven products.</div><div style=""><br></div><div style="">● Define and drive the AI/ML and Generative AI strategy aligned with business goals.</div><div style="">● Identify opportunities to leverage GenAI, LLMs, and advanced analytics to improve products, services,</div><div style="">and operations.</div><div style="">● Lead the development of AI-powered solutions including chatbots, copilots, recommendation systems,</div><div style="">and automation tools.</div><div style="">● Architect and deliver scalable AI/ML and GenAI solutions across business functions.</div><div style="">● Design and implement LLM-based applications using frameworks such as LangChain, LlamaIndex, or</div><div style="">similar.</div><div style="">● Build RAG-based systems, prompt engineering frameworks, and fine-tuning pipelines.</div><div style="">● Ensure production deployment using MLOps and scalable cloud platforms.</div><div style="">● Lead and mentor <b style="font-weight: 700">data scientists, ML engineers, and AI researchers</b></div><div style="">● Build and scale high-performing <b style="font-weight: 700">AI/ML teams.</b></div><div style="">● Collaborate with product, engineering, and business stakeholders.</div><div style="">● Work with senior leadership to translate <b style="font-weight: 700">business challenges into AI solutions.</b></div><div style="">● Present AI strategies, roadmaps, and impact to executive stakeholders.</div><div style="">● 10–14+ years of experience in data science, AI/ML engineering, or advanced analytics.</div><div style="">● 3–5+ years of leadership experience managing AI/ML teams.</div><div style="">&nbsp;Strong expertise in:</div><div style="">● Machine Learning &amp;amp; Deep Learning</div><div style="">● Generative AI and Large Language Models</div><div style="">● Prompt engineering and RAG architectures</div><div style="">● Proficiency in Python, TensorFlow/PyTorch, and ML frameworks.</div><div style="">● Experience with cloud platforms (AWS, Azure, or GCP) for AI deployments.</div><div style=""><br></div><div style=""><b style="font-weight: 700">You are important to us, let’s stay connected!</b></div><div style="">Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Note:</b> The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.</div><div style="">Additional Benefits: Health insurance (self &amp; family), virtual wellness platform, and knowledge communities.</div>

Associate Director- AI/ML (GenAI)

<div style=""><b style="font-weight: 700">Job Title: &nbsp;Lead/Associate Principal</b></div><div style=""><b style="font-weight: 700">Locations: Chennai | Hyderabad | Bangalore</b></div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are</b></div><div style="">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services &amp; solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.</div><div style="">Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence.</div><div style="">We are a Great Place to Work-Certified™ (2022-26), recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine</div><div style=""><br></div><div style=""><b style="font-weight: 700">Curious about the role? What your typical day would look like? What do we expect?</b></div><div style=""><br></div><div style=""><b style="font-weight: 700">Program Lead - RGM &amp; Marketing Analytics - Strategic Insights</b></div><div style="">As a program lead, you will work towards solving and delivering solutions for complex business problems, and demonstrate significant business value to a set of Tiger clientele. In doing so, you will closely collaborate with program leads, technology architects and data scientists across global locations. You will guide the project teams to deliver impactful solutions, drive adoption, and articulate value. On a typical work day, you could be doing one or more of the following:</div><ul>  <li style="">Collaborate with RGM stakeholders to grasp market dynamics and their specific interests or concerns. Convert curated reports and derived insights into clear, actionable business strategies.</li>  <li style="">Create and oversee a multi-level diagnostic engine providing accurate insights across various granularities of data. Being able to utilize the insights to defend or help improve the engine as required.</li>  <li style="">Lead the program’s Root Cause Analysis utilizing various approaches that can include A/B Tests, Curation and testing of Hypotheses, utilizing DiD Methodology etc.</li>  <li style="">Have a wide understanding of statistical models, machine learning algorithms, and data processing pipelines.</li>  <li style="">Communicate technical findings to non-technical stakeholders using visualizations and powerpoints</li>  <li style="">Support project planning, scoping, and delivery across cross-functional teams.</li>  <li style="">Collaborate with engineers, analysts, and business stakeholders to support the implementation of scalable data solutions.</li>  <li style="">Lead workshops or training sessions to improve data literacy among client teams.</li></ul><div style=""><b style="font-weight: 700">Required Skills, Competencies &amp; Experience</b>:</div><ul>  <li style=""><b style="font-weight: 700">Education</b>: Master’s degree in Business Analytics, Statistics, or an MBA with a specialization in quantitative studies preferred</li>  <li style=""><b style="font-weight: 700">Experience</b>: 8+ years of experience in Data Analytics, Revenue Management, Strategic Consulting with at least 3 years in the retail, Fast Food or QSR industry in a client facing configuration</li>  <li style=""><b style="font-weight: 700">Technical proficiency</b>: Strong understanding of Experimental design (A/B/n testing), statistical inference &amp; analytical methods such as &nbsp;RFM and clustering algorithms is required. Additionally, familiarity with data management tools like SQL, Python, PySpark and data visualization tools is preferred.</li>  <li style="">Excellent communication, presentation, and interpersonal skills.</li></ul><div style=""><br></div><div style=""><b style="font-weight: 700">You are important to us, let’s stay connected!</b></div><div style="">Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today, we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encourage people to grow the way they desire.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Note:</b> The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.</div><div style="">Additional Benefits: Health insurance (self &amp; family), virtual wellness platform, and knowledge communities.</div>

Lead/Associate Principal - DS and Consulting (Blended Role)

<div style=""><b style="font-weight: 700">AI Engineer</b></div><div style="">Bangalore</div><div style=""><br></div><div style=""><b style="font-weight: 700">Who we are</b></div><div style="">Tiger &nbsp;&nbsp;Analytics is a global leader in AI and analytics, helping Fortune 1000 &nbsp;&nbsp;companies solve their toughest challenges. We offer full-stack AI and &nbsp;&nbsp;analytics services &amp; solutions to empower businesses to achieve real &nbsp;&nbsp;outcomes and value at scale. We are on a mission to push the boundaries of &nbsp;&nbsp;what AI and analytics can do to help enterprises navigate uncertainty and &nbsp;&nbsp;move forward decisively. Our purpose is to provide certainty to shape a &nbsp;&nbsp;better tomorrow.</div><div style="">Our team of &nbsp;&nbsp;4000+ technologists and consultants are based in the US, Canada, the UK, &nbsp;&nbsp;India, Singapore and Australia, working closely with clients across CPG, &nbsp;&nbsp;Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of &nbsp;&nbsp;our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our &nbsp;&nbsp;dedication to innovation and excellence.</div><div style="">We are a &nbsp;&nbsp;Great Place to Work-Certified™ (2022-25), recognized by analyst firms such as &nbsp;&nbsp;Forrester, Gartner, HFS, Everest, ISG and others. We have been ranked among &nbsp;&nbsp;the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial &nbsp;&nbsp;Times, Economic Times and Analytics India Magazine.</div><div style=""><br></div><div style=""><b style="font-weight: 700">Curious about the role? What your typical day would look like?</b></div><div style=""><br></div><div style="">● Lead the architecture, design, and development of &nbsp;&nbsp;mission-critical, production-grade Generative AI applications and Agentic &nbsp;&nbsp;solutions, ensuring they are scalable, reliable, and secure.</div><div style="">● Define and own the technical roadmap for AI platforms, making critical decisions on architecture, technology stacks, and &nbsp;&nbsp;long-term evolution.</div><div style="">● Drive the strategy for designing and redesigning business processes with Agentic solutions, focusing on advanced agent &nbsp;&nbsp;architecture, memory management, hallucination control, and reinforcement &nbsp;&nbsp;learning-based feedback loops.</div><div style="">● Lead and mentor a team of engineers and data &nbsp;&nbsp;scientists, fostering a culture of innovation and engineering excellence. For VPs, this includes formal people management, career development, and team &nbsp;&nbsp;building.</div><div style="">● Champion and enforce best practices for compliance, security, MLOps, and Model Governance across all AI projects.</div><div style="">● Engage with senior stakeholders to translate business &nbsp;&nbsp;needs into technical strategy and communicate technical vision and project &nbsp;&nbsp;status.</div><div style="">● Stay at the forefront of AI research and industry trends, identifying new opportunities and technologies to drive business value.<br>&nbsp;Qualifications:</div><div style="">● 10-14 years of overall experience with a minimum of 3 years leading the development of production-ready Gen AI RAG or Agent-based &nbsp;&nbsp;solutions.</div><div style="">● Extensive experience as a full-stack development manager or architect, with a proven track record of delivering highly &nbsp;&nbsp;scalable and reliable systems.</div><div style="">● Deep expertise in architecting and designing complex Agentic solutions, including a rich understanding of different agentic &nbsp;&nbsp;architectures and their trade-offs.</div><div style="">● Mastery of agent training, performance measurement, and feedback processes, with the ability to create and articulate new &nbsp;&nbsp;architectural patterns.</div><div style="">● Strong people management skills with experience in grooming and developing engineers (mandatory for manager track).</div><div style="">● Expertise in program/project management, Agile processes, and managing development timelines for large-scale projects.</div><div style="">● Deep knowledge of financial services compliance, security, and performance management.</div><div style="">● Recognized as a subject matter expert in Python, modern AI/ML frameworks, MLOps, and cloud-native technologies.</div><div style=""><br></div><div style=""><b style="font-weight: 700">You are important to us, let’s stay connected!</b></div><div style="">Every individual comes with a different set of skills &nbsp;&nbsp;and qualities so even if you don’t tick all the boxes for the role today, we &nbsp;&nbsp;urge you to apply as there might be a suitable/unique role for you tomorrow. &nbsp;&nbsp;We are an equal-opportunity employer. Our diverse and inclusive culture and &nbsp;&nbsp;values guide us to listen, trust, respect, and encourage people to grow the &nbsp;&nbsp;way they desire.</div><div style="">Note: The designation will be commensurate with expertise and &nbsp;&nbsp;experience. Compensation packages are among the best in the industry.</div><div style=""><em>Additional &nbsp;&nbsp;Benefits: Health insurance (self &amp; family), virtual wellness platform, &nbsp;&nbsp;and knowledge communities.</em></div><div style="">You are important to us, let’s stay connected!</div>