Overview
In this role you will build and maintain Python-based trading tools for a leading high-frequency trading desk. You will work directly with two traders to develop automated trading systems, analytics, and tools for portfolio construction and risk. You will gain exposure to fixed-income ETFs trading and market making across multiple exchanges. You will apply data science techniques to analyze patterns and drive latency-aware, scalable solutions in a fast, open, and collaborative environment.
Responsibilities
- Develop tools to analyse data patterns and support portfolio construction and risk management
- Price, break down, and analyze ETFs and contribute to market making on multiple exchanges
- Build trading systems and rapid application development for trading algorithms
- Collaborate closely with traders on the desk and support staff to enable fast decision-making
- Provide financial and operational support to the trading desk and broader firm
Key requirements
- Python
- Libraries: sklearn, NumPy, pandas etc.
- Web development: Nginx, Flask, JavaScript
- PostgreSQL
- Linux
- Interest in data science
- Experience working in a Linux environment
- 2:1 STEM Degree from a Redbrick
- Strong analytical mindset
- Collaborative with traders and cross-functional teams
- Problem solving and self-driven
- Python
- scikit-learn
- NumPy
…
