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Risk Platform - C++/Python Developer Jobs

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Risk Platform .Net Developer
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Join our London team as a Risk Platform .NET Developer. You will develop high-performance software for the Counterparty Risk Trading business, working on critical data processing and modernisation projects. We seek a developer with strong .NET, SQL, and financial services experience. Enjoy benefi...
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United Kingdom , London
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Salary
Not provided
barclays.co.uk Logo
Barclays
Expiration Date
Until further notice
Explore high-impact careers at the intersection of finance and technology by searching for Risk Platform - C++/Python Developer jobs. This specialized profession sits at the core of modern financial institutions, where developers build and maintain the sophisticated software platforms that quantify, analyze, and manage financial risk. Professionals in this role are responsible for the entire software lifecycle of critical risk systems, which are used by traders, quants, and risk managers to make billion-dollar decisions and ensure regulatory compliance. A Risk Platform Developer typically engages in designing, coding, and optimizing high-performance systems for calculating metrics like Value-at-Ra (VaR), Potential Future Exposure (PFE), credit risk, and market risk. Daily responsibilities involve developing scalable data pipelines, implementing complex mathematical models provided by quantitative analysts into robust production code, and creating intuitive tools and APIs for front-office and risk management users. A key focus is on performance and reliability, as these platforms must process vast amounts of market and trade data to produce timely risk reports, often under strict daily deadlines. Developers also continuously enhance platform architecture, troubleshoot live system issues, and ensure adherence to financial regulations like Basel III/IV, FRTB, and MiFID II. The typical skill set for these jobs is a powerful blend of advanced software engineering and an understanding of financial concepts. Proficiency in C++ is paramount for building low-latency, compute-intensive components, while Python is extensively used for scripting, data analysis, prototyping, and building auxiliary services. Strong knowledge of object-oriented design, data structures, algorithms, and multi-threading is essential. Experience with relational databases (e.g., SQL), version control (Git), and Linux development environments is standard. Crucially, successful candidates possess a solid grasp of financial products (derivatives, bonds, equities) and risk management principles. While a formal background in computer science, engineering, mathematics, or physics is common, the ability to collaborate effectively with quantitative analysts and translate complex models into efficient code is the true hallmark of this role. For software engineers seeking to solve complex computational problems with direct impact on financial stability and strategy, Risk Platform Developer jobs offer a challenging and rewarding career path. Discover opportunities where your code safeguards the financial system and drives strategic insight.

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