Investment Risk & Analytics - Quant Modeling Sr. Associate
On-site · Mumbai, Maharashtra, India
Job Summary
Design, develop, and deploy advanced AI/ML models to derive actionable insights, automate processes, and facilitate strategic decision-making across WM’s Investment Risk & Analytics. Lead end-to-end lifecycle of AI/ML initiatives from problem scoping to deployment, validate models, perform data wrangling, training, testing, and monitoring. Conduct risk modeling, scenario analysis, and governance discussions; apply deep learning, generative AI (LLMs, GANs), reinforcement learning, and advanced statistics to investment risk across managed strategies. Collaborate with technology for productionization, mentor junior data scientists, and communicate results to business and technical stakeholders while staying current with research in AI/ML and applying it to investment risk contexts.
Required Qualifications
- 5+ years of hands-on experience in data science, machine learning, or AI
- Bachelors/Master/PhD in Computer Science / Data Science / Mathematics / Statistics / STEM field preferred
- Experience with generative AI technologies such as transformers, large language models, or diffusion models
- Knowledge of statistics and mathematics concepts relevant to ML
- Experience with Python and ML libraries (NumPy, scikit-learn, pandas, PyTorch)
- Experience with data visualization tools (Tableau, Power BI)
- Understanding of investment products (fixed income, equity, mutual funds)
- Strong quantitative/analytical skills
- Ability to collaborate with global teams
- Experience in risk analytics governance and regulatory documentation
- Experience with risk management in financial services
- Experience with Monte Carlo simulations
- Strong communication skills
- Mentorship ability
- Desire to stay updated with AI/ML research
- Familiarity with LangChain, LangGraph (mentioned in description)
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