Quant Developer | Fixed Income - $400K+ - Front Office - NYC / Philadelphia

Saragossa; Philadelphia (Philadelphia County); On-site; USD 150,000 - 210,000; Full time

Job summary

Saragossa is seeking a Quantitative Developer to join our Fixed Income Technology team in a front-office role in the New York / Philadelphia area. You will build the technology powering fixed income trading and work closely with traders, quants and software engineers.

Responsibilities include building Python-based trading applications, developing pricing, risk, market data, and trade workflows, and working with traders to translate business problems into scalable technology solutions that impact

Qualifications

• 3+ years developing production applications in Python.

Responsibilities

• Build and enhance Python-based trading applications and quantitative tools.
• Developing systems around pricing, risk, market data, and trade workflows.
• Partner with traders and quants to translate business problems into technology solutions.
• Improve the scalability and reliability of production trading systems.

Skills

Python

Python development

NumPy

Pandas

Trading tech

Quantitative finance

Job description

Quantitative Developer Fixed Income Trading Technology Top Quant Trading Firm

New York / Philadelphia

A leading quantitative trading firm is looking for a Quantitative Developer to join their Fixed Income Technology team. This is a front-office engineering role where you’ll work directly with traders, quantitative analysts, and software engineers to build the technology powering fixed income trading.

You’ll design and develop proprietary systems supporting market data, pricing, quoting, risk management, and P&L analytics while building scalable Python applications used in a live trading environment.

This is a great opportunity for a developer who enjoys solving complex technical problems, working closely with the business, and seeing their code directly impact trading decisions.

You’ll be responsible for:

• Building and enhancing Python-based trading applications and quantitative tools.
• Developing systems around pricing, risk, market data, and trade workflows.
• Partnering with traders and quants to translate business problems into technology solutions.
• Improving the scalability and reliability of production trading systems.

Ideal background:

• 3+ years developing production applications in Python.
• Strong experience with Python data libraries (NumPy, Pandas, etc.).
• Experience working in quantitative finance, trading technology, or a data-intensive environment.
• Strong interest in markets, financial modeling, and solving complex problems.