DATA SCIENCE
Quantitative AI Analyst
Bring quantitative discipline to AI in financial services: LLM-assisted research pipelines, model risk analysis and forecasting systems that hold up in front of a validation committee.
- New York
- Data Science
- Full-time
What you’ll do
- Build and validate quantitative and LLM-hybrid models for financial-services clients
- Design backtests and challenger models that keep AI outputs honest
- Quantify uncertainty and failure modes for AI-assisted decisions
- Work with client model-risk teams to get systems through validation
- Present analysis to trading, risk and finance stakeholders
What we’re looking for
- MS or PhD in Mathematics, Statistics, Financial Engineering or related field
- Strong statistical modelling and time-series skills in Python or R
- Experience applying LLMs to financial workflows — research summarisation, filings analysis, signal extraction
- Understanding of model risk management expectations in banking (SR 11-7 style validation)
- Ability to document methodology to an audit-ready standard
What we offer
- Competitive compensation package
- Comprehensive health benefits
- Retirement plan with company match
- Professional development opportunities
- Flexible work arrangements