Quantitative Developer — Derivatives & Risk in Python

Jay Analytix; New York (NY); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Hybrid work arrangement

Collaboration with trading and risk teams

Job summary

Jay Analytix in New York is looking for a Quantitative Developer with a deep understanding of quantitative finance and advanced proficiency in Python. You will work on developing and implementing financial models critical for trading and risk management decisions in a hybrid environment.

The ideal candidate will possess at least 7 years of industry experience, knowledge in capital markets, and the ability to translate complex models into robust, production-grade code. This position offers opportunities to work on impactful systems within major financial hubs.

Qualifications

• Minimum 7 years of experience in a quantitative development or related role.
• Strong understanding of derivatives, fixed income, and capital markets.
• Solid grounding in probability, stochastic processes, and statistics.

Responsibilities

• Develop and implement pricing and risk models for derivative products.
• Translate quantitative models into production-quality Python code.
• Perform backtesting and simulation of trading strategies.

Skills

Quantitative development experience

Capital markets knowledge

Advanced Python

Data analysis

Familiarity with SQL

Tools

NumPy

Pandas

SciPy

C++ (nice to have)

Job description

Jay Analytix in New York is looking for a Quantitative Developer with a deep understanding of quantitative finance and advanced proficiency in Python. You will work on developing and implementing financial models critical for trading and risk management decisions in a hybrid environment.

The ideal candidate will possess at least 7 years of industry experience, knowledge in capital markets, and the ability to translate complex models into robust, production-grade code. This position offers opportunities to work on impactful systems within major financial hubs.