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Tier-1 brand, mid-level experience, metro location, and broad technical requirements increase candidate competition.
Role requires credit-specific strategy, regulated-financial experience and decisioning domain expertise, reducing cross-industry transferability.
Explicit 5+ years, mandatory financial-services domain, and required SQL/SAS/Python/LLM skills make filters strict.
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Lead strategy science initiatives to drive sustainable customer growth and portfolio optimization across Acquisition and Account Management in Credit and Fraud.
Develop and execute advanced analytics and machine learning solutions to solve complex business problems and improve decision-making.
Partner with senior leaders and cross-functional teams to define priorities, translate insights into scalable solutions, and deliver measurable business impact.
Bachelor's degree in a quantitative discipline with 5+ years in strategy, analytics, or data science within consumer financial services (Credit, Marketing, Risk, Fraud, or Collections) OR 7+ years in data analytics/data science in Marketing, Risk or Collections in financial services without a degree.
Strong proficiency in SQL, SAS, and Python (or equivalent); experience with advanced statistical and machine learning techniques.
Experience with Large Language Models (LLMs) supporting Generative and Agentic AI protocols.
Work timing requires availability between 06:00 AM and 11:30 AM US Eastern Time; flexibility with some travel to Regional Engagement Hubs (Hyderabad, Bengaluru, Pune, Kolkata, Delhi/NCR).
Experienced leader capable of independently managing multiple complex analytics and strategy projects, influencing senior stakeholders without direct authority.
Deep domain expertise across the consumer lending lifecycle with strong strategic and technical skills in analytics and machine learning.
Skilled at translating business problems into structured analytical frameworks and communicating insights effectively to both technical and non-technical audiences including executives.