BNP Paribas Factor

You will be working as a Senior Quantitative Analyst in Market and Counterparty Risk Modelling within the RISK Global Framework department of BNP Paribas India Solutions. Your primary responsibilities will include: - Participating in methodology projects by gathering and documenting requirements, considering stakeholder interests, regulatory constraints, and potential deficiencies in current methods. - Investigating, analyzing, and designing risk methods and models while accurately capturing risks and considering system constraints. - Designing, developing, and testing code changes needed to implement risk methods in risk systems, while assisting technical teams with code optimization and promotion to the production environment. - Ensuring all methodologies, tools, processes, and procedures are well-documented to meet internal and regulatory expectations and promptly reflecting any methodological changes in relevant documentation. - Contributing to quality assurance processes surrounding risk measurement, including backtesting and VaR Adequacy process. - Cooperating with RISK model validation teams in reviewing and approving risk models. - Supporting regulatory interactions, participating in industry working groups and Quantitative Impact Studies (QIS). - Assisting risk managers and Front Office in prompt, accurate risk assessment of deals when standard methods may not be applicable. Qualifications required for this role include: - A minimum of a Masters's degree in mathematics, physics, or quantitative finance, with preference for candidates holding both Masters and Ph.D. degrees. - Strong interest and familiarity with risk management practices, financial markets, and economic developments. - Experience in a quantitative finance environment, particularly in market risk or counterparty risk modelling. - Sound understanding of stochastic processes and their application to risk factor simulations. - Practical knowledge of derivatives, their risk drivers, and pricing models, preferably with exposure to asset classes like credit, repo, IR/FX, equity, and commodities from a risk management perspective. - Design and implementation of quantitative models, preferably using C# or C++ in a source-controlled environment. - Excellent communication skills, both written and verbal, with experience in interacting with various stakeholders within the bank. - Awareness of the regulatory framework for banks is desirable. - Candidates with a Ph.D. and research experience are preferred, especially those with published work and leadership in collaborative research projects. Additionally, you should have the ability to: - Work effectively under tight deadlines. - Collaborate within multiple teams and autonomously. - Understand governance-related processes and procedures. - Manage changing priorities and a varied workload effectively.,