Quantitative Trading Developer
A leading global investment firm is expanding its systematic trading platform and is hiring a Quant Trading Engineer to join a front‑office team focused on execution and trading analytics. This group works closely with traders and portfolio managers to understand how systematic strategies behave in live markets and to build data‑driven tools that improve execution outcomes.
This is an opportunity for someone early in their career who enjoys working with real market data, writing clean Python, and applying quantitative thinking to practical trading problems.
What You'll Be Working On
- Analyzing how systematic trades perform once they're live in the market and identifying ways to improve execution efficiency.
- Building and enhancing Python‑based analytics around transaction costs, market impact, and execution quality.
- Working with granular market data, including high‑frequency pricing and order‑level information.
- Developing dashboards, reports, and tooling that traders actually use to evaluate execution decisions.
- Partnering with trading and quantitative teams to turn ideas into scalable, production‑ready solutions.
- Contributing to a codebase that values robustness, readability, and good engineering discipline.
What They're Looking For
- A MS or PHD in computer science, mathematics, statistics, financial engineering, or a related quantitative field.
- Roughly 1-3 years of professional experience in a trading, quantitative, or market‑facing engineering role.
- Strong Python skills, particularly for data analysis and numerical work.
- Comfort working with large time‑series datasets and an interest in market microstructure and execution.
- Exposure to SQL and time‑series or columnar data stores is helpful but not required.
- Someone who's curious, self‑driven, and excited to learn within a fast‑moving trading environment.
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