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WorldQuant

Global quantitative asset management via algorithms

Junior Execution Trader

Quantitative Trading / Algorithm DevelopmentConfirmed live in the last 24 hours
Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

  • A degree in a quantitative or technical discipline from a top-tier institution is required.
  • At least 1 year of work experience in a buy-side or sell-side institution in a Trading, DevOps, or Analytics role supporting investment strategies is required.
  • Experience with at least one mainstream asset class, such as equities, foreign exchange, fixed income, credit, or derivatives, is required.

Responsibilities

  • Monitor execution across equities, foreign exchange, futures, and other asset classes while trading in different regions.
  • Provide first-line support for issues arising from the automated execution flow.
  • Conduct project work to add new liquidity to the execution platform and reduce the cost of implementing WorldQuant’s models.
  • Analyze large datasets to guide further automation and refinement of execution desk processes.
  • Interface directly with Portfolio Managers, Brokers, Senior Management, Compliance, Risk, and other teams.

Desired Qualifications

  • Experience with scripting languages such as Python and databases such as SQL is a strong plus.
  • Enthusiasm to learn more about financial markets and execution trading.

About the Company

WorldQuant

Global quantitative asset management via algorithms

WorldQuant is a global quantitative asset management firm that uses data, talent, and predictive algorithms to manage investments for institutional clients. Its approach centers on quantitative research and algorithmic trading, applying mathematical models to identify opportunities and execute trades in financial markets. The company earns management and performance fees based on assets under management and investment returns. What sets WorldQuant apart is its scale and culture: a worldwide footprint with over 1,000 professionals across 27 offices, a strong emphasis on data-driven research and experimentation, and a commitment to equal opportunity where employees at all levels can contribute ideas. The firm’s goal is to deliver reliable, scalable investment performance for pension funds, endowments, sovereign wealth funds, and other institutions by closely linking research, technology, and trading execution to generate client returns.

Company size
1,001-5,000
Company stage
Not listed
Total funding
$148.5M
Headquarters
Greenwich, CT
Founded
2007

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