Hybrid Quant Finance Developer — Python & Derivatives

Jay Analytix; Jersey City (NJ); Hybrid; USD 100,000 - 150,000; Part time

Benefits offered by this job

Hybrid work arrangement

High-impact projects

Job summary

Jay Analytix is seeking a Quantitative Developer located in New Jersey, Jersey City, to focus on building financial models and analytics. This hybrid role demands strong expertise in quantitative finance and advanced proficiency in Python.

The ideal candidate will have minimum 7 years in quantitative development, solid understanding of capital markets, and will work closely with trading teams. Perks include a collaborative environment bridging finance and technology.

Qualifications

• Minimum 7 years of experience in quantitative development or related role.
• Mandatory capital markets domain experience.
• 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.

Skills

Quantitative development

Financial modeling

Python

Data analysis

Capital markets knowledge

Tools

NumPy

Pandas

SciPy

SQL

Job description

Jay Analytix is seeking a Quantitative Developer located in New Jersey, Jersey City, to focus on building financial models and analytics. This hybrid role demands strong expertise in quantitative finance and advanced proficiency in Python.

The ideal candidate will have minimum 7 years in quantitative development, solid understanding of capital markets, and will work closely with trading teams. Perks include a collaborative environment bridging finance and technology.