Credit Quantitative Developer
- Source: LinkedIn
- Alexander Chapman
- On-site
- New York City
- Full-Time
- Mid level
Job Description
I’m working with a leading multi-strategy hedge fund looking to hire a Credit Strat Developer to join a high-performing front-office technology team.
This is a highly impactful role where you’ll partner closely with portfolio managers and traders to build the research, risk, and analytics infrastructure that supports a profitable credit business. You’ll be developing production-grade systems that sit at the heart of the investment process.
You’ll be working on:
• Research and analytics toolkits
• Risk and P&L attribution frameworks
• Trading dashboards and reporting tools
• Workflow automation and front-office infrastructure
We’re looking for someone with:
• 3+ years of experience in quantitative development or front-office engineering
• Strong Python and SQL skills
• Experience with fixed income, credit products, or derivatives
• Knowledge of risk analytics, pricing, or P&L attribution
• Buy-side or sell-side experience
Tech stack: Python, SQL, Pandas, NumPy, Linux, KDB, Databricks, Kafka, Grafana, Prometheus, Python Dash, and more.
Location: New York (hybrid)
If you’re interested in building technology that directly impacts investment decisions within a top-tier trading environment, I’d be happy to share more details. Feel free to get in touch.
Skills
- attribution
- Python
- Pandas
- NumPy
- azure-databricks
- databricks
- Kafka
- Grafana
- Prometheus
