Junior Discretionary Trader

Overview

In this role you will support a global team of traders and researchers to explore and evaluate new trading ideas within a data-driven, quantitative framework. You will contribute to PnL tracking, risk reporting, and hedging decisions, while handling larger or more complex trades that require human oversight. The position sits at the intersection of trading, technology, and research, offering exposure to cutting-edge systems and scalable analysis. This is an opportunity to grow in a fast-paced, collaborative environment that rewards technical rigor and rapid decision-making.

Responsibilities

• Collaborate with senior traders and quantitative researchers to structure and evaluate new trading opportunities
• Generate PnL tracking and attribution reports based on trade ideas
• Monitor and analyze portfolio performance to generate risk reports
• Hedge books and allocate hedges appropriately
• Execute large or complex trades which cannot be automated due to complexity or liquidity constraints

Key requirements

• Recent graduate or soon-to-be graduate with relevant coursework or internship
• Bachelor’s degree in a quantitative or related field (e.g., Mathematics, Statistics, Econometrics, Engineering, Operations Research, Computer Science, Physics, Economics, Finance)
• Strong communication skills for global collaboration
• Strong sense of urgency in fast-paced environments
• Programming skills with at least one major language; strong preference for Python
• Strong communication
• Collaborative mindset
• Ability to work under pressure
• Attention to detail
• Python
• Programming or scripting language (general)

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