Quantitative Developer

Overview Systematic Risk Trading technology team supporting an electronic trading engine. Focused on automated portfolio management, client flow facilitation, and quantitative analytics. Team also supports an existing product set and is investing in a next-generation platform.

Day-to-Day Responsibilities Building and enhancing components of an electronic trading engine in a systematic/automated trading environment. Working across the stack — coding, testing, and supporting trading applications in production. Partnering closely with traders, BA/PM/QA, and other engineers to deliver enhancements and solve problems tied to trading workflows.

Top 3 Skills Strong Python engineering (not analytics focused) — deep understanding of how Python works under the hood, including multithreading, concurrency, memory management, and performance tuning; experience with core Python, object-oriented design, data structures, APIs, and working in Linux environments, open to any Python frameworks (Django, Flask or Fast API) Experience building or working on electronic trading / systematic trading / market making or portfolio trading systems Strong engineering mindset — building real systems (trading engines), not notebooks or reporting tools; automation-first approach Nice to Haves Experience with C++ and/or Java - C++ preferably Experience with quantitative trading analytics in Python or q/kdb+ Experience with cloud and/or containerized environments Familiarity with numpy, pandas, TensorFlow, or PyTorch but NOT an analytics role so not required Interview Process Round 1 - Via Webex with 1-2 interviewers Round 2 - In-Person with Team Lead Round 3 - Possible, if necessary - would be with Group Lead Top Three Skillsets 7+ years working on Enterprise scale applications developed primarily using Python in a Linux environment and with broad exposure to well-known Python libraries Practical experience within an Electronic Trading environment in an investment bank or similar Experience with C++ and/or Java development additionally preferred Top Three Soft Skills Strong communication skills with an ability to communicate with stakeholders outside of Technology. Automation-first mentality with the ability to apply emergent technologies such as Generative AI to development processes. Passion for engineering and solving problems in a multi-faceted role.

Role Overview The role is to work as a senior Python Software Engineer within the Systematic Risk Trading technology team and assist in the front to back design, development, testing, and production support of associated projects and initiatives. The role will require working closely with the business users, BA/PM/QA, other development and support teams to assist in the delivery of enhancements. Team Overview Our team supports the Systematic Risk Trading area in Global Markets.

The team provides creative solutions for facilitation of client flow, automated portfolio management, and broad-based quantitative analytics. We are a global team with a solid presence in AMRS, EMEA, and APAC. We aim to maintain a global perspective while recognizing and responding to specific regional requirements that differentiate each market.

We are a diverse team of experienced developers, product owners, and QA authorities working closely with the line of business. Our team supports an existing product set while investing in a next-generation platform. Required Skills 7+ years working on Enterprise scale applications developed primarily using Python in a Linux environment and with broad exposure to well-known Python libraries Enthusiastic, passionate engineer able to work closely with project teams in a multi-faceted role Automation first mindset across the software development lifecycle, particularly around shift-left testing Practical experience within an Electronic Trading environment in an investment bank or similar Desired Skills Experience with quantitative trading, including analytics in Python or q/kdb+ Experience with C++ and/or Java development Knowledge in architecting applications for Cloud and/or Containerized Environments Practical, hands-on experience with Agile and test-driven development #J-18808-Ljbffr