Squarepoint Capital

Manages quant-driven, systematic portfolios globally

Delta One Trader

Quantitative Trading / Algorithm DevelopmentConfirmed live in the last 24 hours

Full-timeNo salary listedIn-person

About the Job

Requirements

Have 3–6 years of experience in Delta One, index arbitrage, program trading, or similar risk-taking roles.
Have programming skills.
Have a strong technical or quantitative background.

Responsibilities

Run systematic and discretionary index-arbitrage and equity-financing strategies across major APAC markets.

Desired Qualifications

Experience with ETF arbitrage, ADR-local trading, and other relative-value opportunities.
Connections in local markets.
Knowledge of index rebalances.
A degree in a quantitative discipline, such as Computer Science, Mathematics, Physics, Electrical Engineering, or Quantitative Finance.
Buy-side experience; sell-side experience is also welcomed.

Position Overview:

We are looking for a quantitatively minded Equity Delta One trader. The desk runs systematic and discretionary index-arbitrage and equity financing strategies across all major APAC markets
Experience on ETF arbitrage, ADR-local trading and other Relative Value opportunities

Required Qualifications:

3-6 years of experience on a Delta One, Index Arbitrage, Program Trading or similar risk-taking skills
Connection in local markets preferred
Knowledge on index rebalances a plus
Programming skill is a must
Strong technical / quantitative background, ideally a degree in a quantitative discipline (CS, Math, Physics, EE, Quant Finance or similar)
Candidate with buyside experience preferred, sellside is also welcomed

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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