5+ yrsChennaiOn-siteDirect career pageEst. 28–45 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Lead end-to-end ownership of predictive and statistical models of consumer financial behavior including forecasting, fraud detection, and personalization.
- Deploy, monitor, and maintain models on Google Cloud Platform (Vertex AI), including drift detection and retraining in a regulated financial environment.
- Design and analyze experiments and apply generative AI techniques to extract insights and automate financial data analysis with clear communication to stakeholders.
Minimum Requirements
- Master's degree in a quantitative field (Ph.D. preferred) or equivalent experience.
- 5+ years of applied data science experience with business impact.
- Proficiency in Python (including pandas, scikit-learn, PyTorch and/or TensorFlow), SQL, and experience deploying models to production with monitoring (preferably on Google Cloud/Vertex AI).
- Legal right to work in India without sponsorship; ability to work onsite in Chennai office for standard 40-hour workweek.
Ideal Candidate Profile
- Experienced with a broad range of statistical and machine learning methods including time-series forecasting and causal inference in financial domain contexts.
- Skilled in generative AI (LLMs, RAG, agentic workflows) and cloud-based MLOps tools for regulated industries.
- Capable of translating complex data science results into actionable insights for cross-functional teams including product and senior leadership.