Data Engineer for Advanced Analytics

3 weeks ago


Chicago, Illinois, United States DRW Full time
About DRW

DRW is a leading diversified trading firm with over three decades of experience in bringing together sophisticated technology and exceptional people to operate in global markets. We value autonomy, the ability to quickly adapt, and the willingness to take calculated risks.

Headquartered in Chicago with offices across the US, Canada, Europe, and Asia, we trade various asset classes, including Fixed Income, ETFs, Equities, FX, Commodities, and Energy. Our expertise has also expanded into non-traditional strategies like real estate, venture capital, and cryptoassets.

We operate with respect, curiosity, and an open mindset. Our team members share our belief that it's not just what we do, but how we do it, that matters. At DRW, we have high expectations, integrity, innovation, and a willingness to challenge consensus.

About the Role

We are seeking an outstanding Data Engineer with diverse technical and interpersonal skills to join our UP - Analytics - Middle Office team as we continue to expand our technical capabilities. This role involves building and maintaining services that calculate analytic measures across multiple asset classes, predict theoretical market outcomes based on user-defined scenarios, and return analytics for any time horizon.

We collaborate closely with risk managers and trading desks to measure option and rate sensitivities and create applications to monitor, manage, and report analytic measures. While previous experience in the trading and finance industry is beneficial, we're looking for talented data engineers with or without industry-specific expertise.

Responsibilities
  • Designing, developing, and maintaining greenfield and legacy API, service, and application platforms
  • Testing at the unit, functional, and integration level
  • Working with various business, development, IT, and trading support teams
  • Providing on-call support as part of our team-wide rotation
  • Maintaining open communication with users for support, testing, and understanding their needs
Qualifications
  • Experience using applied mathematics (linear algebra, optimization, numerical methods)
  • Strong understanding of statistics and probabilities
  • Proficiency in distributed version control, CI/CD, Docker, and Kubernetes
  • Familiarity with Elixir, Python, or other programming languages such as JavaScript, TypeScript, Ruby, Java, C#, or Scala

Estimated Salary: $120,000 - $180,000 per year, depending on location and experience. Please note that this salary range is based on industry standards and may vary depending on individual circumstances.



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