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Squarepoint Capital

Manages quant-driven, systematic portfolios globally

Junior Discretionary Trader

Prop & Hedge Fund TradingConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • Recent or soon-to-be graduate with relevant coursework, internship, or other applicable experience or knowledge.
  • A Bachelor's degree in a quantitative or related field such as Mathematics, Statistics, Econometrics, Engineering, Operations Research, Computer Science, Physics, Economics, or Finance.
  • Programming skills are essential, including at least one major programming or scripting language; Python is strongly preferred.
  • Ability to collaborate with teammates globally.
  • Ability to work with a strong sense of urgency in a fast-paced environment.

Responsibilities

  • Collaborate with senior traders and quantitative researchers to structure and evaluate new trading opportunities.
  • Generate profit-and-loss 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 that cannot be automated because of complexity or liquidity constraints.
  • Assist senior traders with daily portfolio monitoring, maintenance, and hedging.
  • Develop skills in fundamental and macro analysis, research, portfolio construction, risk management, and execution.

Desired Qualifications

  • Strong preference for Python programming.

About the Company

Squarepoint Capital

Manages quant-driven, systematic portfolios globally

Squarepoint Capital is a global investment manager that uses quantitative and systematic strategies to build diversified portfolios across asset classes, trading frequencies, and global markets for institutional investors. Its approach relies on a large data platform and advanced technology to power research and model-based trading decisions, with portfolios continually adjusted in response to market data. The firm differentiates itself through a broad, multi-asset, multi-frequency framework, a global footprint with offices in thirteen cities, and a collaborative culture that emphasizes rigorous research and disciplined execution. Its goal is to deliver attractive, risk-aware returns for pension funds, endowments, and sovereign wealth funds through systematic, data-driven investment processes.

Company size
501-1,000
Company stage
Not listed
Total funding
$1.4B
Headquarters
London, United Kingdom
Founded
2014

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