- Credit Risk
- Performance Metrics
- Value at Risk
Model Governance Group – Quantitative Research – Associate - Hong Kong
Location: HK-Hong Kong-Hong Kong-Chater House / 03761
About J.P. Morgan Chase & Co.
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.4 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about J.P. Morgan is available at www.jpmorganchase.com
Financial Institutions routinely use models for a broad range of activities including analyzing business strategies, informing business decisions, identifying and measuring risk, valuing exposures or instruments, hedging derivative positions, conducting stress testing, assessing capital adequacy, managing clients assets, informing investment process, measuring compliance with internal limits, maintaining the formal control apparatus of the bank, meeting financial or regulatory reporting requirements and issuing public disclosures. Model Risk arises from the potential adverse consequences of making decisions based on incorrect or misused model outputs and reports, leading to financial loss, poor business decision making, or reputational damage.
As part of the firm’s model risk management function, Model Governance Group (MGG) 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. Model manager roles within MGG provide attractive career paths for model development and model validation quants in a dynamic setting working closely with Front Office Trading Desks, Desk Quants or Model Developers, Risk and Finance professionals, where they act as key stakeholders on day-to-day model-related risk management decisions.
The successful candidate will be a member of the MGG team in Hong Kong, covering all asset classes within the Corporate and Investment Bank in Asia, and will focus on the following activities:
Engage in new model validation activities for a subset of models in the coverage area - evaluate conceptual soundness of model specification; reasonableness of assumptions and reliability of inputs; completeness of testing performed to support the correctness of the implementation; robustness of numerical aspects; suitability and comprehensiveness of performance metrics and risk measures associated with use of model.
Perform additional model review activities ranging from proposed enhancements to existing models, extensions to scope of existing models, use of approximate bookings, to providing transaction-specific approvals.
Liaise with Trading Desk, Risk and Finance professionals to provide oversight of and guidance on appropriate usage, controls around model restrictions & limitations, and findings for ongoing performance assessment & testing
Maintain model risk control apparatus of the bank for the coverage area & serve as first point of contact
Keep up with the latest developments in coverage area in terms of products, markets, models, risk management practices and industry standards
Strong quantitative & analytical skills: The role requires a strong quantitative background based on a PhD or Masters Degree (or equivalent) in a quantitative discipline such as Math, Science, Economics, Engineering, Quantitative/Math Finance, etc.
Experience (preferred but not required) in following areas: Interest Rate/Credit /Equity/FX/Commodity Derivatives pricing models, VaR Models, Counterparty Credit Exposure Models, probability theory, econometrics, statistics, and numerical methods
Prior experience (preferred but not required) in following backgrounds: Quantitative Model Development, Model Validation, Trading or Structuring, Market/Credit Risk Management
Strong communication skills and ability to interface with other functional areas in the bank on model-related issues
Risk and control mindset: ability to ask incisive questions, converge on critical matters, assess materiality and escalate issues