Investment Risk & Analytics - Quant Modeling Associate
On-site · Mumbai, Maharashtra, India
Mumbai, Maharashtra, IndiaOn-siteFull TimeMid LevelMasters DegreeInvestment BankingEnterprise
Type
Full Time
Level
Mid Level
Education
Masters Degree
Company size
Enterprise
Industry
Investment Banking
Job Summary
Investment Risk & Analytics (IR&A) leads risk oversight for Managed Strategies across WM’s Private Bank and Consumer Bank businesses; the team seeks a Quant Modeling Associate to design, develop, and deploy advanced AI/ML models, drive end-to-end model lifecycles, conduct risk modeling and scenario analysis, and communicate results to stakeholders while aligning with regulatory expectations and governance.
Required Qualifications
- 3+ years of hands-on experience in data science, machine learning, or AI
- Bachelor's/Master/PhD degree in Computer Science / Data Science / Mathematics / Statistics / relevant STEM field is highly preferred
- Demonstrated experience with generative AI technologies such as transformers, large language models, or diffusion models
- Knowledge of key concepts in Statistics and Mathematics such as Statistical methods for Machine learning (e.g., ensemble methods, NLP, time-series), Probability Theory and Linear Algebra
- Experience with investment products including fixed income, equity, and mutual funds
- Programming skills in Python and knowledge of common numerical and machine-learning packages (NumPy, scikit-learn, pandas, PyTorch, LangChain, LangGraph etc.)
- Experience with data visualization tools such as Tableau, Power BI, or similar
- Strong analytical skills and ability to work with diverse cultures in a global team
- Ability to scope out an open-ended problem into data driven solution
- Logical thought process
- Experience collaborating with technology teams on model testing, implementation, and production
- Ability to present results to business and technical stakeholders
- Staying abreast of AI/ML trends and potential applications
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