Quantitative Trader

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Key Responsibilities

2 - 4 years in trading, quantitative analysis,

Technical Tools

Other

~1 min read

→Experience: 2 - 4 years in trading, quantitative analysis, data analysis or a related field; graduates and internship experience in trading or quant roles are welcome
→Technical Skills: Working proficiency in Python and/or SQL; exposure to Rust or another systems language is a plus
→Tools: Comfortable using AI tools, data visualisation and automation to improve workflows
→Mindset: intense, and eager to learn
→Communication: Ability to explain findings clearly to traders, and engineers

Research and develop market making strategies across CEX and DEX order books / AMM structures to be the most competitive market making desk we can be
Work with a successful trading team at the intersection of markets and one of the oldest crypto companies in the world
Monitor automated market-making strategies across multiple exchanges and trading pairs, flagging issues and escalating where needed
Learn how strategy parameters work, including spreads, quote sizes, inventory management and risk limits, and adjust them within agreed limits under senior guidance
Help troubleshoot live trading issues by working with traders and engineers to find root causes

Run post-trade analysis on execution quality, fill rates, inventory and profitability, and present your findings to the desk
Write Python and SQL queries to pull, clean and analyse trading and order book data
Help with backtesting and research into strategy improvements alongside traders and quantitative developers

Build and maintain dashboards and reports that track trading KPIs such as uptime, spread, depth, volume and P&L
Use AI tools and automation to make routine monitoring, alerting and reporting more efficient
Suggest process improvements and new ideas to improve desk performance

Prepare performance reports that show whether client strategies are meeting agreed KPIs
Contribute to market colour for clients and internal stakeholders, covering trading flows, liquidity conditions and price movements