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# Quantitative Developer

- **Company:** JAY ANALYTICS CORPORATION
- **Location:** Jersey City, NJ, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, C++ (Programming Language), Software Quality, Python (Programming Language), NumPy, Performance Tuning, SciPy, SQL Databases, Data Processing, Model Validation, Numerical Computing, Pandas
- **Published:** August 9, 2026
- **Apply:** https://www.wayup.com/i-j-Quantitative-Developer-Jay-Analytix-351935362797874/

## About the Role

+ 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.
 + Solid grounding in probability, stochastic processes, and statistics.
 + Hands-on experience with pricing models, risk metrics, and financial data.
Technical

 + Advanced Python, including NumPy, Pandas, and SciPy.
 + Strong experience with data analysis and numerical computing.
 + Familiarity with SQL and data handling., + Exposure to C++ for performance optimization.
 + Experience working with quantitative research or trading desks.
 + Familiarity with model validation practices and regulatory expectations.

## Description

We are seeking a Quantitative Developer with strong expertise in quantitative finance and advanced proficiency in Python. This role focuses on building and implementing financial models, analytics, and pricing systems used by trading and risk teams. You will work at the intersection of finance and technology, translating sophisticated quantitative models into robust, production-quality code that directly supports trading and risk management decisions.
The ideal candidate brings deep capital markets domain knowledge, strong engineering discipline, and the ability to collaborate closely with quants and traders in a fast-paced, hybrid environment., + Develop and implement pricing and risk models for derivative products.

 + Translate quantitative models (e.g., Black-Scholes) into production-quality Python code.
 + Build libraries and tools for portfolio analytics, valuation, and risk measurement.
 + Work closely with quants and traders to refine models and strategies.
 + Perform backtesting and simulation of trading strategies.
 + Validate financial models and ensure the accuracy of calculations.
 + Contribute to the ongoing improvement of analytics infrastructure and code quality.


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