Company Description Soros Fund Management LLC (SFM) is a multi-strategy global investment firm and family office that manages approximately $28 billion in net assets. Founded by George Soros in 1970, SFM serves as the principal asset manager for the Open Society Foundations (OSF), one of the world's largest charitable foundations dedicated to promoting justice, human rights, and democracy. SFM leverages its permanent capital base, unconstrained mandate, and 50-plus years of experience to invest nimbly across diverse strategies and asset classes, including public and private equities and credit and macro assets. SFM’s approach is unique in the investment industry. Headquartered in New York City with offices in London, Dublin, and Hong Kong, SFM employs about 200 professionals. Position Overview The role of the QDS team is to design, develop and implement tools to support SFM’s investment strategies and help leverage its intellectual capital and unique competitive advantages. The London based Quantitative Analyst will be required to partner with team members, Portfolio Managers and Analysts to translate requirements into effective solutions. The ideal candidate will be a highly analytical problem solver with excellent technical skills who enjoys working in a collaborative environment that promotes innovation and smart risk taking mindset. Major Responsibilities • Partner with the firm’s investment and risk teams to translate their requirements into technology solutions: building tools, models, analytical libraries, and processes to facilitate their research, idea generation, trading, and portfolio analysis. • Collaborate with the broader technology team to develop a unified, scalable platform for harnessing real-time and historical market data and analytics. • Provide real time support for our trading teams in our London office, ensuring that their pricing and risk tools are accurate at all times. Requirements • 5 years of experience developing Front Office and/or Risk tools and analytics • Proficiency in one or more statically-typed programming language (e.g. C#, C++, Java, etc.) as well as one or more dynamically-typed language (e.g. Python, R, etc.) • Familiarity with common data science tools and libraries (e.g. Pandas, NumPy, etc.) • Experience building analytical UIs and visualizations using Excel, Jupyter, DASH, PyXLL, or similar. • Detailed understanding of the interest rate and foreign exchange derivative markets, with experience supporting portfolio managers or traders with pricing and risk management of these products, as well as understanding of common trading strategies. • High-level understanding other asset classes (e.g. Equity, Commodities) • Experience building tools/processes to support systematic trading strategies Core Values In all respects, needs to reflect the following SFM core values: • Integrity • Teamwork • Smart risk-taking • Owner’s Mindset • Humility