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A leading international financial institution based in the United Kingdom is seeking a Quantitative Developer to model and analyse portfolio risk. The role requires strong quantitative skills in financial modelling and statistics, as well as the ability to communicate effectively across various teams. Ideal candidates will have significant experience in credit, liquidity, and market risk, holding an MSc in Quantitative Finance or Mathematics. The position offers a collaborative work environment focused on innovation and inclusion.
Quantitative Developer has significant knowledge of all aspects of credit, liquidity and/or market risk (methodology, development, implementation and monitoring for all types of financial instruments traded by the Bank); as well as Economic Capital and/or stress testing. As such, his responsibilities include modelling and analysing portfolio risk, maintaining portfolio risk measures and/or providing analytical risk reporting. Quantitative Developer works closely with other team members and delivers analytical, functional and technical support to the QRA function in identification of risks and review of compliance. The role provides guidance and advice to the Principal Risk Officer in support of operational and strategic decision-making related to own area of specialisation. Reporting to the Principal Risk Officer, the job holder undertakes projects focused on credit, liquidity and/or market risk methodologies, controls and processes. The role is also accountable for managing the testing and reporting environment, ensuring that the systems remain aligned with evolving business needs of the Bank, as well as for provision and integrity of management information relating to the bank's Economic Capital, Banking Equity & Treasury portfolio. Finally, Quantitative Developer participates in the Team's effort to maintain and enhance the in-house developed risk engine, QRE (Quantitative Risk Engine). Background Quantitative Risk Analytics (QRA) is a function within Risk Policy & Analytics (RPA) team of the Risk Management department. QRA's primary function is supporting the articulation of the Bank's Risk Appetite and developing informative Risk Measures and Analytics. The quantitative function covers the following aspects:
Background Quantitative Risk Analytics (QRA) is a function within Risk Policy & Analytics (RPA) team of the Risk Management department. QRA's primary function is supporting the articulation of the Bank's Risk Appetite and developing informative Risk Measures and Analytics.
Our agile and innovative approach is what makes life at the EBRD a unique experience! You will be part of a pioneering and diverse international organisation, and use your talents to make a real difference to people's lives and help shape the future of the regions we invest in.
Diversity is one of the Bank's core values which are at the heart of everything it does. A diverse workforce with the right knowledge and skills enables connection with our clients, brings pioneering ideas, energy and innovation. The EBRD staff is characterised by its rich diversity of nationalities, cultures and opinions and we aim to sustain and build on this strength. As such, the EBRD seeks to ensure that everyone is treated with respect and given equal opportunities and works in an inclusive environment. The EBRD encourages all qualified candidates who are nationals of the EBRD member countries to apply regardless of their racial, ethnic, religious and cultural background, gender, sexual orientation or disabilities. As an inclusive employer, we promote flexible working and expecting our employee to attend the office 50% of their working time.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.