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Man Group

Manages investments across public and private markets

Quantitative Developer - Systematic

Quantitative DevelopmentConfirmed live in the last 24 hours
Full-timeChinaNo salary listed

About the Job

Requirements

  • At least 2 years of professional experience in software engineering, preferably focused on quantitative applications.
  • Proficiency in Python and experience with Pandas, NumPy, SciPy, statsmodels, and scikit-learn.
  • Experience working on production systems and understanding of testing, monitoring, and deployment best practices.
  • Comfort working on Linux platforms and using Git.
  • Working knowledge of one or more database technologies such as MS SQL, PostgreSQL, or MongoDB.

Responsibilities

  • Work with Portfolio Managers to develop and deploy systematic trading strategies.
  • Contribute to the full lifecycle of strategy development, including onboarding datasets, implementing trading signals, building portfolio optimization tools, developing data visualization frameworks, and enhancing the research platform.
  • Solve performance-critical problems using efficient numerical algorithms and cluster-computing solutions.

Desired Qualifications

  • Experience in quantitative software development in a front-office setting, such as at a hedge fund, proprietary trading firm, or investment bank.
  • Experience working with large structured and unstructured datasets.
  • Experience building web applications using modern frameworks such as React.
  • Proficiency with distributed computing technologies such as Spark, Dask, Kubernetes, or Redis.
  • Knowledge of modern data engineering practices, including data pipelines and ETL tools, distributed storage and processing, and data warehousing.
  • Strong understanding of financial markets and instruments.
  • Experience working with financial market data.
  • Relevant mathematical knowledge, such as statistics and time-series analysis.

About the Company

Man Group

Manages investments across public and private markets

Man Group manages investments for institutions, financial advisers and individual investors across public and private markets. Its Man AHL and Man Numeric businesses use computer models to select and trade investments, while other teams analyse companies and markets directly. Clients access strategies covering shares, credit and multiple asset classes through funds or tailored investment portfolios. The group earns management fees based on assets and performance fees when portfolios meet agreed return conditions, with systems supporting research, trading and risk oversight. The business traces its roots to a sugar brokerage founded in 1783 in the City of London.

Company size
1,001-5,000
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1783

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