Quant Developer (AVP) - Systematic Credit
Our client, a leading global investment bank, is looking to hire a Quant Developer to join its Systematic Credit Trading team. The role sits within a broader function focused on statistical modelling and model development, supporting the build-out of systematic strategies and analytics across credit markets.
This is a hands-on position at the intersection of quantitative research, statistical modelling, and front-office trading technology, working closely with traders and quants to deliver robust, production-grade systems.
Key Responsibilities:
- Develop and maintain libraries and infrastructure supporting systematic credit trading strategies
- Collaborate with traders and quantitative researchers to implement statistical models into production
- Translate modelling approaches into scalable, efficient code
- Build and optimise pipelines for data processing, signal generation, and execution
- Contribute to the design and evolution of the trading and modelling platform
- Support live trading systems, including monitoring, debugging, and performance enhancement
Requirements:
- Strong programming experience in Python and Java (both required)
- Experience working in a quantitative development or trading-aligned engineering role
- Exposure to statistical modelling and model development in a financial context
- Understanding of systematic trading or quantitative strategies
- Strong problem-solving ability and attention to detail
Desirable Skills:
- Experience with KDB+/q or time-series data platforms
- Familiarity with credit markets, fixed income products, or trading workflows
- Exposure to high-performance or low-latency systems
Additional Information:
- Front-office aligned role with direct interaction with traders and quants
- Opportunity to work on systematic strategies within credit markets
- High-impact position within a globally recognised institution
Apply Now!
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