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Global investment management firm built at the intersection of financial theory and practical application. We strive to deliver superior, long-term results for our clients by seeking to filter out market noise to identify and isolate what matters most, and by developing ideas that stand up to rigorous testing. Underpinning this philosophy is an unrelenting commitment to excellence in technology — powering our insights and analysis.
You will join engineering team supporting one of the most diverse business functions, working, among others, with investment management guidelines monitoring, trading surveillance, regulatory reporting, building and supporting extensible and scalable business-facing applications to satisfy the needs of one of the largest quantitative investment firms in the world. You will also have key input into designing the future state of the technology stack for this function.
4+ Years of relevant work experience
Bachelors/Masters/PhD in Computer Science, Engineering, or related discipline
Outstanding coding, debugging, and analytical skills
Experience working in a distributed data environment and integrating bespoke solutions with vendor products
Background in .NET or Java, but open to other technologies such as Python
Familiarity with one of the large cloud providers is a plus but not required
An interest in quantitative finance (no finance / trading experience required)