VP, Quant Strat: Pricing, Risk & Modeling (Hybrid)

Morgan Stanley; New York (NY); Hybrid; USD 225,000 - 250,000; Full time

Job summary

Morgan Stanley is seeking a Vice President, Strats in New York to develop and maintain pricing models and support daily trading and risk management. You will contribute to pricing, hedging, and market analysis while collaborating with traders, sales, and model risk teams.

The role requires a Master’s in Operations Research or Financial Engineering, 3 years of related experience, and strong skills in stochastic calculus, Python, C++, and pricing libraries.

Qualifications

• Master's degree in Operations Research, Financial Engineering, or related field
• Requires 3 years' experience in the listed role or related internships/positions
• Proficiency with stochastic calculus, probability theory, Python for quantitative analysis, and ML concepts
• Experience with default intensity and hazard-rate modeling; developing pricing solutions
• Proficiency in C++ and developing/maintaining pricing libraries; credit derivative pricing and IR models

Responsibilities

• Develop and maintain pricing models for pricing and risk analysis
• Support daily trading and risk management activities including pricing and hedging
• Assist traders and sales in understanding market dynamics and opportunities
• Collaborate with controllers and model risk to document and approve models
• Utilize Monte Carlo simulations for pricing and analytics

Skills

Stochastic calculus

Python

Git/GitHub

Statistics

Machine learning

Default intensity modeling

Hazard-rate modeling

C++

Pricing libraries

Credit derivatives

Interest-rate models

Front-office collaboration

Education

Master's degree in Operations Research or Financial Engineering

Tools

GitHub

Job description

Morgan Stanley is seeking a Vice President, Strats in New York to develop and maintain pricing models and support daily trading and risk management. You will contribute to pricing, hedging, and market analysis while collaborating with traders, sales, and model risk teams.

The role requires a Master’s in Operations Research or Financial Engineering, 3 years of related experience, and strong skills in stochastic calculus, Python, C++, and pricing libraries.