Associate Consultant - Talent Acquisition at JPMorgan Chase
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JPMorgan Chase - Analyst/Associate/VP - Quantitative Modelling - PhD (0-15 yrs)
Analyst/Associate/VP - Quantitative Modelling Role - Ph.D. can also apply with JP Morgan_Mumbai
J.P. Morgan is a leading global financial services firm, established over 200 years ago:
- We are the leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management.
- We have assets of $2.5 trillion and operations worldwide
- We operate in more than 100 markets.
- We have more than 243,000 employees globally.
Our wholesale businesses include J.P. Morgan's Asset Management, Commercial Banking and the Corporate & Investment Bank which provide products and services to corporations, governments, municipalities, non-profits, institutions, financial intermediaries and high-net-worth individuals and families.
Our corporate functions support the entire organization and include the following functions: Accounting, Audit, Finance, Human Resources, Operations, and Technology.
- 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 Group covering the Risk areas such as Market Risk (may also include coverage of wholesale credit risk and other risk areas as the need arises), 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
Essential skills, experience, and qualifications :
- Strong quantitative & analytical skills: The role requires a strong quantitative background based on a Ph.D. or Masters Degree (or equivalent) in a quantitative discipline such as Math, Science, Economics, Engineering, Quantitative/Math Finance, etc.
- Domain expertize in the relevant areas such as the following: XVA (CVA, DVA, FVA, KVA), Market Risk capital models including VaR Models, Derivatives pricing models, CCAR Models, Regulatory/Economic Capital Models, probability theory, econometrics, statistics, and numerical methods
- Prior experience 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: the ability to ask incisive questions, converge on critical matters, assess materiality and escalate issues