Data Science Engineer for Risk Applications

1 week ago


New York, New York, United States Oxford Knight Full time

We are one of the world's largest hedge funds, leveraging innovative technology to drive our investment process. Our team is seeking a skilled software engineer with strong project delivery experience to lead the development of risk applications across multiple business lines.

This is an exciting opportunity to join us on our re-engineering program, expanding our real-time risk capabilities and developing new calculation & analysis interfaces. You will work closely with Senior Risk Managers to lead projects and/or small teams focused on fixed income and FX asset classes, utilizing your skills in Python, C++, and HTML5 (React, Node.js) for data visualization.

To succeed in this role, you must be a strong communicator with a good understanding of software development life cycle best practices. Key requirements include:

  • Minimum 7+ years' experience in system analysis, design, and programming
  • Python skills preferred; C++, KDB/Q, and Unix also advantageous
  • SQL and data manipulation experience essential
  • A background in Finance is essential
  • Experience with web application frameworks beneficial, e.g., HTML5, JavaScript (ES6+), and frameworks (React), Node.js
  • Demonstrable analytical and problem-solving skills
  • Desirable: major risk vendor products, e.g., RiskMetrics or Barra
  • Master's degree in a quant field, e.g., engineering, science, computer science, mathematics

We offer a competitive salary package, including benefits and incentives. Join our positive and friendly culture as we build complex software solutions to solve challenging problems in an agile environment.



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