Assistant Vice President
Summary
Leads data science and AI initiatives at a financial services firm: develops predictive models, scorecards, and GenAI/LLM solutions across credit, risk, collections, fraud, marketing and customer analytics, while handling model deployment/MLOps and mentoring junior data scientists. Core stack: Python, SQL, R/SAS, ML, GenAI.
Required Experience: 6 - 10 Years
Work Location: Lower Parel
Qualification: IIT/ NIT/ BITS PILLANI/ VJTI/IIM and equivalent institutes are preferred.
Function: Analytics / Data Science
Reports To: DVP Analytics
Team Responsibility: Lead and mentor junior Data Scientists/Analytics team members; collaborate with cross-functional Business, Risk, Technology and Data Engineering teams.
Role Overview:
Lead Data Science and AI initiatives by developing and deploying advanced analytics, Machine Learning and Generative AI solutions to drive business growth, risk optimization and operational efficiency.
Key Responsibilities:
- Develop predictive models, scorecards and ML/AI solutions.
- Work across Credit, Risk, Collections, Fraud, Marketing and Customer Analytics.
- Perform data preparation, feature engineering and modelling using Python, SQL, R/SAS.
- Build solutions using GenAI, LLMs, RAG, NLP and Agentic AI.
- Manage model deployment, APIs, MLOps, monitoring, drift and retraining.
- Partner with Business, Risk, IT and Data Engineering teams for implementation.
- Present insights and model outcomes to senior stakeholders.
- Lead, mentor and guide junior team members on model development and analytical problem-solving.
Requirements:
- Graduate/Postgraduate in Engineering, Computer Science, Data Science or related field.
- 6 - 10 years of relevant Data Science/Analytics experience.
- Strong Python, SQL, Machine Learning and statistical modelling skills.
- Experience in scorecard/model development and business analytics.
- Exposure to GenAI/LLMs/RAG, MLOps, APIs and Cloud preferred.
- BFSI/Banking/NBFC/Fintech experience is an advantage