Python Developer - Credit & Fixed Income (Hybrid)

Radley James; New York (NY); Hybrid; USD 130,000 - 190,000; Full time

Benefits offered by this job

Hybrid work model

Competitive compensation

Job summary

Radley James is seeking a seasoned software engineer to join a well-established multi-strategy hedge fund in New York. You will develop Python-based research, pricing, risk and analytics tools used directly by the investment team, with a hybrid onsite model (three days per week).

You will also build scalable P&L attribution, reporting and dashboards across Credit, FX, Rates and Fixed Income, and partner closely with Portfolio Managers and Quantitative Researchers to drive trading decisions.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering or closely related field.
• 3+ years' experience developing production-quality software in Python.
• Strong knowledge of Credit, Fixed Income, FX, Rates and/or Bond products.
• Experience building analytics, research or risk platforms using Python, SQL, Pandas and NumPy.
• Excellent communication skills with Front Office stakeholders in a fast-paced trading environment.

Responsibilities

• Develop Python-based research, pricing, risk and analytics tools used directly by the investment team.
• Build scalable P&L attribution, reporting and dashboard solutions across Credit, FX, Rates and Fixed Income products.
• Partner closely with Portfolio Managers and Quantitative Researchers to deliver technology that drives trading decisions.
• Automate workflows and build robust production systems that improve efficiency and enhance the trading platform.

Skills

Python development

Pandas

NumPy

SQL

Communication with Front Office

Education

Bachelor's degree in CS / Software Engineering or related field

Tools

Pandas

NumPy

SQL

Job description

Radley James is seeking a seasoned software engineer to join a well-established multi-strategy hedge fund in New York. You will develop Python-based research, pricing, risk and analytics tools used directly by the investment team, with a hybrid onsite model (three days per week).

You will also build scalable P&L attribution, reporting and dashboards across Credit, FX, Rates and Fixed Income, and partner closely with Portfolio Managers and Quantitative Researchers to drive trading decisions.