Overview
As a FICC Quantitative Researcher, you will develop market-making and quoting strategies across IR, FX, Credit and Commodities, leveraging ML and factor models to drive systematic alpha and real-time risk decisions. You will collaborate with traders, sales and engineering to scale analytics infrastructure, calibrate models and automate decision-making. This role offers the chance to shape pricing, risk tools and trading frameworks for a leading global firm, applying advanced statistics to transform FICC trading.
Pay / Benefits
- diversity and inclusion
- training and development opportunities
- benefits
- wellness programs
- personal finance offerings
- mindfulness programs
Responsibilities
- Lead the development of market-making and quoting strategies across FICC products
- Build models using neural networks, ML, and factor models to drive systematic alpha and real-time trading decisions
- Implement centralized risk management frameworks and optimize multi-asset portfolios
- Develop model calibration pipelines for large time-series data ensuring accuracy and compliance
- Advance pricing, trading, and risk tools and collaborate with Quant Developers and core engineering teams
- Enhance analytics infrastructure to support trading tools and risk management
Key requirements
- Excellent academic record in a quantitative field (physics, mathematics, statistics, engineering, or computer science)
- Strong programming skills in C++, Java, or Python
- Self-starter with ability to manage multiple priorities in a high-pressure environment
- Excellent written and verbal communication skills for technical and non-technical audiences
- self-motivation
- clear communication
- team collaboration
- C++
- Java
- Python
…
