Quantitative Analyst

JCW Group; New York (NY); On-site; USD 200,000 - 260,000; Full time

Job summary

JCW Group partners with a global investment bank to recruit a VP-level Quantitative Analyst focused on designing, implementing, and maintaining derivative pricing models and volatility modelling tools used across the firm’s commodities trading business.

The ideal candidate is a strong quantitative modeler who can move between theoretical model design and production code, with deep experience in derivatives pricing and volatility modelling.

Qualifications

• Strong experience in derivatives pricing and volatility modelling within a financial institution.
• Proficiency in C++ and Python for numerical computing and model development.
• Experience with source control, CI, testing, and release processes.
• Familiarity with Monte Carlo methods, PDE solvers, and volatility calibration techniques.
• Experience with model documentation and model validation processes.
• Exposure to commodities markets such as power, gas, spread options, storage, or energy derivatives strongly preferred.
• Based in New York City or Houston.

Responsibilities

• Design, implement, and maintain derivative pricing models and volatility tools.
• Work with traders, structurers, and risk managers to deliver analytics.
• Ensure models run in a live trading environment with production code quality.

Skills

Derivatives pricing

Volatility modelling

C++

Python

CI/CD

Source control

Monte Carlo

PDE solvers

Model validation

Commodities markets

Tools

Git

Job description

JCW has partnered with a global investment bank seeking a Quantitative Analyst. This VP-level role focuses on the design, implementation, and maintenance of derivative pricing models and volatility modelling tools used across the firm's global commodities trading business, working closely with traders, structurers, and risk managers to deliver high-performance analytics and model-driven solutions.

The ideal candidate is a strong quantitative modeler with hands-on implementation skills who can move comfortably between theoretical model design and production code. You have deep experience in derivatives pricing and volatility modelling, you write clean and scalable C++ and Python, and you understand what it means to deliver and maintain models in a live trading environment.

Key Qualifications:

• Strong experience in derivatives pricing and volatility modelling within a financial institution
• Proficiency in C++ and Python for numerical computing and model development
• Experience working within a structured software development environment including source control, continuous integration, testing, and release processes
• Familiarity with Monte Carlo methods, PDE solvers, and volatility calibration techniques
• Experience with model documentation and model validation processes
• Exposure to commodities markets including power, gas, spread options, storage, or structured energy derivatives strongly preferred
• Based in New York City or Houston