The Risk and Performance Platform (RPP) department enables professional market participants to assess trading and portfolio risks, supporting better decision-making in the face of evolving financial markets. The RPP group comprises approximately 250 engineers across Lugano, London, and New York, who collaborate closely to deliver industry-leading analytical solutions for cross-asset valuation, financial risk modeling, and portfolio performance attribution.

Our Risk products enable our clients across the world to manage and assess their risk by providing them with a comprehensive collection of tools, such as stress-testing functionality which models their portfolios’ behavior under acute market conditions, or analytics that incorporate historical data to highlight future risks. RPP powers Bloomberg’s enterprise systems for traders, portfolio managers and risk officers and offers access to highest quality Bloomberg data, as well as flexibility for clients to customize them.

Performance Attribution sits at the core of how the world's largest asset managers, pension funds, sovereign wealth funds, and central banks understand results, explain active decisions, and meet regulatory and client reporting requirements. Our product supports hundreds of large enterprise clients and over 100k desktop users, with a strong pipeline of new, high-profile clients.

RPP is an ecosystem of distributed services executing billions of calculations per day, consuming terabytes of data. We strive to grow our product offering together while at the same time ensuring highest standards of software quality and adherence to state of the art development practices. We focus on efficient, scalable and maintainable systems that solve real life problems. We work on problems to address distributed data consistency and resource management, build stateless boundaries of services to provide extensible and flexible workflows, and optimize the performance of our batch analytics. We use a wide range of engineering strategies in our solutions by leveraging various open source technologies like Cassandra or Redis, distributed computing algorithms, Kafka to handle the high data traffic and machine learning among others.

What’s in it for you:

• Work in a high-impact team delivering billions of calculations across diverse workflows at the intersection of financial enterprise systems and large-scale infrastructure. Shape the future of the financial risk industry by building scalable, resilient platforms that power critical decision-making.
• Architect a large distributed calculation system and learn to operate at a true enterprise scale.
• Deepen your understanding of the financial domain. We partner with product stakeholders to reimagine financial risk domain in a software system
• Be part of the close-knit RPP community—work alongside brilliant engineers and contribute to a thriving culture of technical excellence.

Salary Range = 160000 - 240000 USD Annually + Benefits + Bonus