Data Science Engineer for Risk Applications
1 week ago
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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