Investment Risk & Analytics - Quant Modeling Senior Associate
On-site · Columbus, Ohio, United States
Columbus, Ohio, United StatesOn-siteFull TimeSenior LevelDoctorate Or Professional DegreeInvestment BankingEnterprise
Type
Full Time
Level
Senior Level
Education
Doctorate Or Professional Degree
Company size
Enterprise
Industry
Investment Banking
Job Summary
Senior Associate in Investment Risk & Analytics focusing on designing and deploying advanced AI/ML models for risk quantification, leading end-to-end AI/ML lifecycle, conducting risk modeling and scenario analysis, mentoring junior data scientists, and collaborating with governance forums and audits; emphasis on tools and methodologies across AI/ML, statistics, and investment products in a risk management context.
Required Qualifications
- 5+ years of hands-on experience in data science, machine learning, or AI
- Bachelors/Master/PhD degree in Computer Science / Data Science / Mathematics / Statistics
- 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 Machine Learning & Deep Learning concepts including data representations, neural network architectures, custom loss functions
- Foundational mathematical concepts, including continuity, differentiability, Taylor formulas, differential equations, integration, measure theory, linear algebra, discrete and continuous probabilities, Markov chains, regression
- Have experience with investment products including fixed income, equity, and mutual funds
- Programming skills in Python and knowledge of common numerical and machine-learning packages (like NumPy, scikit-learn, pandas, PyTorch, LangChain, LangGraph etc.)
- Experience with data visualization tools such as Tableau, Power BI, or similar
- Logical thought process, ability to scope out an open-ended problem into data driven solution
- Strong quantitative and analytical skills and ability to work with a global team
Apply with one swipe on Sorce. We auto-fill applications and apply on your behalf — no cover letters, no 40-minute forms.
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.