Quant Modelling Analyst / Associate - Counterparty Credit Risk

You are passionate about quantitative finance and counterparty credit risk. Join a dynamic counterparty credit model risk team that specializes in the review of advanced XVA and credit exposure models. As part of the firm's model risk management function, the Model Risk Governance and Review group is responsible for developing model risk policy and control procedures, performing model validation activities, providing guidance on the appropriate use of models within business contexts, evaluating ongoing model performance testing, and ensuring that model users are aware of the model's strengths and limitations. As a Quant Modelling Analyst/Associate in the Model Risk Governance and Review team, you will be covering Counterparty Credit Risk models. You will be exposed to multiple asset classes, collateral modelling, advanced modelling methodologies, and close interaction with Quantitative Research teams, Risk functions and trading desks.,

• Model validation of trading models/pricers used in XVA, Counterparty Credit Exposure, IMM/Capital calculations, and regulatory stress testing.
• Perform assessment of the conceptual soundness of model specifications, the appropriateness of the methodologies for their intended purposes, the reasonableness of assumptions, the reliability of inputs, and assessment of model limitations.
• Evaluate completeness of testing performed to support the correctness of the implementation.
• Conduct ongoing performance monitoring tests and regulatory/non-regulatory backtesting to ensure that models remain relevant and fit for purpose.
• Assist with model governance processes, model inventory management, issue management and the development of model governance policies as needed.
• Work closely with model developers, trading desks, and controls functions across the firm to enhance understanding of methodologies, usage, and transparency around model controls, limitations, and performance.
  
  A quantitative background with at least a master's degree in Mathematics, Science, Engineering, Statistics, Quant Finance, or a related field.
• Strong quantitative, analytical, and problem-solving skills; knowledge of probability theory, statistics, mathematical finance, econometrics, numerical methods, and stochastic calculus.
• Relevant quantitative experience at a similar bank/asset management analytics setup.
• Strong communication and interpersonal skills with sound project management and organizational skills; ability to multi-task and meet deadlines.
• Ability to work independently, with remote supervision.
• A risk and control mindset with the capability to pose critical questions, assess materiality, and escalate issues as necessary.
• Proficiency and interest in Python programming.
Preferred qualifications, capabilities, and skills
• Domain expertise in XVA (CVA, DVA, FVA, KVA, etc.) and IMM.
• Experience in model validation and/or model development.
• Understanding of finance industry, particularly in modeling- valuation, risk, capital, forecasting, investment management
  
  J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives., Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.