Buscar empleo: 168 ofertas de trabajo Jornada parcial de Entretenimiento en Villaverde (diciembre 2025)

Analyst-Service Performance

hace 10 días

Madrid

BNP Paribas is a leading global bank and a prominent international banking institution, operating in numerous locations worldwide and offering multiple financial services, from retail banking to corporate and institutional banking (clients financing, advisory, capital market services). The bank is head-quartered in Paris but has a significant presence in the EU and worldwide. Systems InteGrated Methods and Analytics (SIGMA) is a team of specialised risk officers with global accountability for the counterparty, market and liquidity risk methodologies within the Bank’s RISK function. Organisationally, it is embedded in the RISK Global Framework department and in particular its RISK Models & Regulatory group. SIGMA’s mission is to develop and continually improve the group’s risk modelling & measurement, analysis and backtesting capabilities . The team’s remit includes internal risk models in use within the Bank, such as VaR, Stressed VaR, IRC and CRM models in the market risk space, as well as EEPE, Stressed EEPE, Regulatory CVA models in the counterparty risk space. Working in close partnership with other RISK teams and stakeholders (systems, reporting, regulatory, Front Office), the successful candidate will contribute to SIGMA’s mission, taking responsibilities in some of the following areas: • Participate in methodology projects, gathering and documenting requirements, considering stakeholder interests, regulatory constraints and any potential deficiencies in the current methods exposed by quality assurance processes. • Design, develop and test code changes required to implement the risk methods in the risk systems, whilst assisting the technical teams responsible for optimisation and promotion of the code to the production environment. • Contribute to the quality assurance processes surrounding risk measurement including backtesting and VaR Adequacy (P&L Explain) process. • In a transactional or advisory capacity, assist risk managers and Front Office in the prompt, accurate and astute risk assessment of deals, where the standard and systematic methods may not be applicable or appropriate. The Department conducts business in English, thus a good command of both verbal and written English is essential. Experienced candidates with financial industry background are welcome from banks, investment companies and consultancies: • Front Office quantitative research, model validation, hedge funds) are also welcome. • Design and implementation of quantitative models, preferably using C# or C++ in a source-controlled environment. • The role will expose the candidate to a wide range of professionals within the bank. Previous experience in interacting with Front Office, validation functions and regulatory or supervisory bodies is a plus. • A good understanding and awareness of the regulatory framework for banks is desirable. We welcome both academic and industrial scientists. Successful candidate will be provided internally with on the job training in financial mathematics and banking fundamentals. • Candidates expected to have PhD with further research experience. • More senior candidates are expected to demonstrate leadership in collaborative research projects. • The role will expose the candidate to a wide range of professionals within the bank. Reasonable coding skills are expected. The successful candidate will have the opportunity to further develop his or her quantitative skillset, joining a multicultural team of seasoned quantitative analysts eager to stay abreast of the latest market and industry developments. As such he or she will also have the opportunity to contribute to shaping the Bank’s and the industry’s future of internal models and risk management. SIGMA participates in Risk Model Fundamentals and Research Lab and successful candidates, once integrated into the team, will be given an opportunity and an option to participate in Lab projects. The results from the Lab and SIGMA in general are regularly presented at major international conferences. The role is not limited to quantitative modelling and will also allow the candidate to further develop or strengthen his or her development skillset (our proprietary library is implemented in C#). Training programs, career plans and internal mobility opportunities, national and international thanks to our presence in different countries. • Hybrid telecommuting model (50%). • Equity and diversity are at the core of our recruitment policy because we believe that they foster creativity and efficiency, which in turn increase performance and productivity.

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