Quantitative Developer — Derivatives & Risk in Python

Jay Analytix INC.; New York (NY); Hybrid; USD 100,000 - 150,000; Part time

Benefits offered by this job

Hybrid work arrangement

Collaborative environment

Exposure to high-impact systems

Job summary

Jay Analytix INC. is seeking a Quantitative Developer based in New York, USA. This hybrid position involves building and implementing financial models and analytics used by trading and risk teams. The ideal candidate will have over 7 years of experience in quantitative development, with strong skills in Python and knowledge of capital markets and derivatives.

The successful candidate will work closely with traders and quants to ensure model accuracy and contribute to enhancing the analytics infrastructure. A collaborative environment bridging finance and technology awaits you.

Qualifications

• Minimum 7 years of experience in a quantitative development or related role.
• Capital markets domain experience is mandatory.
• Strong understanding of derivatives, fixed income, and capital markets.

Responsibilities

• Develop and implement pricing and risk models for derivative products.
• Translate quantitative models into production-quality Python code.
• Build libraries and tools for portfolio analytics, valuation, and risk measurement.

Skills

Quantitative Finance

Python

Probability and Statistics

Data Analysis

Capital Markets

Tools

NumPy

Pandas

SciPy

SQL

Job description

Jay Analytix INC. is seeking a Quantitative Developer based in New York, USA. This hybrid position involves building and implementing financial models and analytics used by trading and risk teams. The ideal candidate will have over 7 years of experience in quantitative development, with strong skills in Python and knowledge of capital markets and derivatives.

The successful candidate will work closely with traders and quants to ensure model accuracy and contribute to enhancing the analytics infrastructure. A collaborative environment bridging finance and technology awaits you.