2027 Quantitative Analytics Program Capital Markets Masters Early Careers
You will apply advanced analytics, artificial intelligence, and machine learning to capital markets challenges. You will develop pricing, risk, simulation, and benchmark models, enhance production models, report model performance metrics, and validate model design, calibration, and implementation.
Responsibilities
- Develop pricing and risk models for trading desks
- Enhance production models to mitigate deterioration in model performance
- Develop simulation models to forecast losses for trading portfolios
- Develop benchmark models to assess limitations of production models
- Analyze and report metrics used to assess model performance
- Validate model design, calibration, and implementation
- Design, develop, and deliver scalable solutions
- Support risk assessments and apply risk controls
Requirements
- 6+ months of work experience or equivalent experience, training, military experience, or education
- Master's degree with an expected graduation date between December 2026 and June 2027
- Emphasis in Mathematics, Physics, Engineering, Statistics, or a related quantitative field
- Programming skills in Python, C++, SQL, and Java
- Knowledge of Monte Carlo methods, differential equations, linear algebra, applied probability, and statistics
- Quantitative and analytical skills
- Data analysis, modeling, visualization, statistics, research, and generative AI skills
- Data and software engineering skills
- Data management skills
- Communication skills
- Business acumen and understanding of capital markets
- Risk assessment and risk control knowledge
Benefits
- 12-month development program
- Mentorship
- Technical training
- Exposure to senior leaders
- Two six-month rotations