Summary The Product Manager, Analytics will be a credible, experienced product professional with excellent communication skills. They should have strong knowledge of margin and collateral analytics, with a focus on advanced optimisation, stress testing and forecasting analytics, and a keen interest in how clients use these tools across the derivatives trade lifecycle. They will decide what problem the Analytics team solves, for whom and why, collaborating closely with engineers, internal teams and clients. The Analytics area covers margin optimisation, margin attribution, collateral analytics and optimisation, variation margin forecasting, stress testing and the limits engine. The Product Manager, Analytics will report to the Head of Product. Full Time - London About us Step into the future with Cassini - Founded in 2014, we are the established,core utility providerof analytics and optimization tools built for the derivatives industry.From London to New York, Sydney to Singapore, hedge funds, asset managers, and banks worldwide rely on our solutions. Our award-winning platform empowers clients to reduce margin, optimize collateral, and enhance their liquidity risk framework, delivering real-time, front-to-back analytics on the full cost of derivatives trading. What sets us apart? Recognised as 'Best Derivatives Tech Provider' and 'Analytics Leader' Global impactwith a rapidly expanding footprint Analytics provider to the largest asset managers in the world Enterprise-grade security(ISO 27001 A successful candidate will have the following: Sound knowledge of collateral and margin analytics, including optimisation algorithms. Experience with derivatives margin and collateral, such as SIMM, SPAN or clearing house margin (preferred). Experience with AI-assisted development or specification-led delivery (preferred). Working knowledge of Jira, Confluence and agile workflow. Working knowledge of generative AI tools, including Claude and Cursor. Working knowledge of APIs, databases and SFTPs. Preferred Qualifications, Skills Experience of Repo, Stock Borrow Lend or other financing solutions Understanding of margin models and optimisation algorithms Knowledge of the buy-side or sell-side’s operating processes Experience using and defining API endpoints Good understanding of data modelling and experience defining new data models Some Python or VBA coding experience Demonstrable experience using AI tools to fast-track tasks, automate processes and solve problems
Product Manager, Analytics employer: Cassini Systems
At Cassini, we pride ourselves on being an exceptional employer in the financial services sector, offering a dynamic work environment that fosters collaboration and innovation. Our London-based team enjoys a culture of continuous learning, with ample opportunities for professional growth and development, while working on cutting-edge technology that shapes the future of liquidity risk management. With a strong focus on employee empowerment and a commitment to excellence, we ensure that our staff are not only challenged but also supported in reaching their full potential.
