As an AVP in Treasury Funding and Investments Risk and Analytics (TFI RnA) based in London, you will build prototypes and scalable analytics solutions in collaboration with the trading desks and market risk teams, using Python, Quantitative libraries and APIs, SQL and DevOps frameworks to ensure reliability and performance.
You will lead the adoption and application of ML and GenAI models and methods and automation frameworks in the wider Treasury function. You will be the product owner for technical applications used by the trading desks for markets activity including interest rate curve marking, trade capture and lifecycling and intraday risk and PnL. You will assist the desk with data driven decision making by developing your knowledge of systems and their capabilities and collaborate closely with Quantitative analysts and technology to deliver requirements.
Candidates should have a degree in Maths, Physics or Engineering, preferably with some experience working in Financial Services. Financial or risk management qualifications are desirable as is familiarity with interest rate and credit products and derivatives. They must have strong communication skills with an ability to effectively engage with stakeholders at all levels of seniority.
You may be assessed on key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
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