If you are passionate about quantitative finance and counterparty credit risk then join a dynamic counterparty credit model risk team focusing on Margining, XVA and credit exposure models
As part of the firm’s model risk management function, the Model Risk Governance and Review (MRGR) group is charged with developing model risk policy and control procedures, performing model validation activities, providing guidance on a model’s appropriate usage in the business context, evaluating ongoing model performance testing, and ensuring that model users are aware of the model strengths and limitations.
As a Quant Modelling Associate, you will be a member of the Model Risk Governance and Review group in New York, covering Counterparty Credit Risk models where you will have exposure to multiple assets classes, different margining methodologies, collateral modelling, advanced modelling methodologies as wells as day-to-day interaction with Quantitative Research teams, Risk functions and trading desks. Your position will focus on the following activities:
- Model validation of margining methodologies, trading models/ pricer used in XVA, Counterparty Credit Exposure and IMM/Capital calculations and regulatory stress testing.
- Perform assessments of the conceptual soundness of model specification, the appropriateness of the methodology for its intended purpose, reasonableness of assumptions and reliability of inputs and assessment of model limitations
- Assess completeness of testing performed to support the correctness of the implementation
- Perform ongoing performance monitoring tests and regulatory/non-regulatory back testing to ascertain that models are relevant and fit for purpose.
- Assist with model governance processes, model inventory, issue management and help to devise new model governance policies as and when required.
- Work closely with model developers, trading desks, and controls functions across the firm to understand methodology, usage and establish transparency around model controls, model limitations and performance
Required Qualifications, Skills and Capabilities
- Quantitative background with at least a master’s degree in Mathematics, Science, Engineering, Statistics, Quant Finance, or similar.
- Strong quantitative, analytical, and problem-solving skills; knowledge of probability theory, statistics, mathematical finance, econometrics, numerical methods and stochastic calculus.
- [0-1]Y of 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
- Risk and control mindset: ability to ask incisive questions, assess materiality and escalate issue