Job description

THIS IS A HYBRID ROLE IN WARSAW (3 days per week from the office).

Join our Risk Technology team to help design and develop a scalable analytical framework supporting the firm’s risk reporting and calculation infrastructure. You will architect and implement systems that compute on vast volumes of structured data to power decision-making across the Risk Department. Working at the intersection of engineering and quantitative finance, you'll drive innovation, precision, and performance in a dynamic, data-intensive environment.

What You’ll Do

• Design and implement large-scale data computation pipelines and analytics platforms that allow for flexible, distributed processing across massive datasets.
• Develop domain-level insight into financial risk modeling to anticipate and fulfill analytical and infrastructure needs across the risk organization.
• Drive innovation by introducing new technologies and frameworks that improve system performance, enhance product quality, and expand feature capabilities.
• Solve high-complexity engineering and data problems using a blend of creative thinking, algorithmic rigor, and modern technology practices.

What’s Required

• Academic or professional background in computer science, applied mathematics, physics, or another technical discipline, with a strong quantitative foundation.
• 5+ years of software development experience using Python and/or functional programming languages (e.g., Haskell, Scala, OCaml, F#) within a production-grade environment.
• Advanced proficiency in SQL for querying, transforming, and analyzing large and complex datasets.
• Hands-on experience building or working with statistical models, large-scale aggregation engines, or quantitative systems for analytics or reporting.
• Exceptional collaboration, communication, and problem-solving abilities, with a strong understanding of algorithms, data structures, and ethical development practices.