Lead Quantitative Software Engineer
1 week ago
Lead Quantitative Software Engineer – Java – Intraday Risk
My Client is a global leader in financial services, offering innovative solutions across investment banking, corporate banking, and wealth management. With deep expertise and cutting-edge technology, it helps clients navigate markets, manage risks, and achieve their financial goals. The firm is currently looking for Quantitative Software Engineers mainly using Java having experience in front office applications such as Intraday Risk and P&L.
My client is seeking a highly skilled Quantitative Software Engineer to design, develop, and optimize low-latency, high-throughput systems supporting critical functions such as trade valuation, risk and P&L calculations, and real-time data aggregation. The ideal candidate will have expertise in Java, multi-threaded distributed systems, and experience with technologies like Oracle Coherence, Spring Framework, and JMS, working within a fast-paced environment to support Rates, Credit, Emerging Markets, and Equity business lines.
The Role:
- Develop and optimize server-side functionality for the IRiS Intraday Risk and P&L platform.
- Collaborate with traders, analysts, and quants to deliver efficient trading solutions.
- Support trade valuation, risk, P&L calculations, and real-time data aggregation.
Requirements:
- A collaborative approach and a desire to learn.
- Experience developing front-office risk and P&L/pricing applications.
- Experience of server-side development in Java, including multi-threading and distributed systems.
- Understanding of derivatives products, risk and P&L, market data and calibrations.
- Experience working with Credit bond and derivatives trading businesses/products.
- Experience with Python and/or C++ beneficial.
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