Quantitative Developer

Backend Python / Quant Developer – Fixed Income & Capital Markets

Senior Backend Python / Quant Developer

New York City

$60-$85/hour

18 Month W2 Contract

Experience: 7+ years

Industry: Capital Markets / Investment Banking

Focus: Fixed Income, Trading, Financial Modeling & Quantitative Development

Position Summary

We are seeking a Senior Backend Python / Quant Developer with strong experience in Fixed Income, Capital Markets, trading systems, and quantitative financial modeling . The ideal candidate will combine deep Python development skills with strong financial markets knowledge and experience building scalable, high-performance applications used by traders, risk teams, and quantitative analysts.

This role requires someone who can work across backend engineering, quantitative analytics, financial models, market data, and trading workflows , partnering closely with Front Office, Quant, Risk, and Technology teams.

Key Responsibilities

• Design, develop, and maintain high-performance backend applications and services using Python .
• Build quantitative and financial applications supporting Fixed Income trading, pricing, risk, valuation, and portfolio analytics .
• Develop and implement financial models, pricing methodologies, quantitative algorithms, and analytical tools .
• Work closely with traders, quantitative researchers, risk managers, and Front Office stakeholders to translate financial requirements into production-quality technology.
• Develop APIs, microservices, data pipelines, and backend services supporting trading and financial analytics platforms.
• Work with large volumes of market data, trade data, reference data, pricing data, and risk data .
• Implement and optimize models for areas such as:
• Fixed Income pricing and valuation
• Yield curves and interest-rate modeling
• Bond analytics
• Credit products
• Derivatives
• P&L and risk analytics
• Sensitivities/Greeks
• Scenario and stress testing
• VaR and market risk
• Develop tools supporting the trade lifecycle , including trade capture, validation, enrichment, pricing, risk, and downstream reporting.
• Optimize Python applications and quantitative models for performance, scalability, and reliability .
• Integrate backend applications with databases, market-data systems, trading platforms, and enterprise APIs.
• Develop automated testing and validation frameworks for financial models and trading applications.
• Participate in architecture discussions and contribute to modernization of legacy trading and quantitative platforms.
• Troubleshoot production issues and work closely with technology and business teams to resolve issues impacting trading and risk workflows.

Required Qualifications

• 7+ years of professional software development experience , with significant hands-on Python development.
• Strong object-oriented Python programming and experience developing production-grade backend applications.
• Strong understanding of Fixed Income and Capital Markets .
• Hands-on experience supporting trading, pricing, risk, or quantitative finance applications .
• Strong understanding of financial instruments such as:
• Bonds
• Treasuries
• Interest-rate products
• Swaps
• Credit products
• Fixed Income derivatives
• Experience with financial modeling and quantitative analytics .
• Strong understanding of concepts such as pricing, valuation, yield curves, discounting, risk measures, P&L, and sensitivities .
• Experience working directly with Front Office, Trading, Quant, Market Risk, or Portfolio Management teams.
• Strong SQL and relational database experience.
• Experience building REST APIs, backend services, or microservices .
• Strong analytical and problem-solving skills.

Preferred Qualifications

• Experience with NumPy, Pandas, SciPy, Statsmodels, scikit-learn , or similar quantitative Python libraries.
• Experience with C++ , Java, or another backend programming language.
• Experience with QuantLib or other financial modeling/pricing libraries.
• Knowledge of market data platforms and trading systems such as Bloomberg, Refinitiv, Murex, Calypso, Summit, or similar.
• Experience with Kafka or other event-driven technologies .
• Experience with cloud technologies such as AWS, Azure, or GCP .
• Experience with Docker/Kuberne…