Quant Modelling Associate

Job Description
Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work in our team to partner with the Business to provide a comprehensive view.
As Quant Modelling Associate in Risk Management and Compliance team, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and by using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. Model Risk Governance and Review (MRGR) is a global team of modeling experts within the firm's Risk Management and Compliance organization. The team is responsible for conducting independent model review and model governance activities to help identify, measure, and mitigate Model Risk in the firm. The objective is to ensure that models are fit for purpose, used appropriately within the business context for which they have been approved, and that model users are aware of the model limitations and how they could impact business decisions. MRGR Trading covers valuation and risk-management models used within the Corporate & Investment Bank. The team focuses on Derivatives Instruments, which involve some of the most complex and advanced modeling techniques used in the industry.
As an Associate in MRGR Trading, you will be at the center of the firm's model review and governance activities with exposure to a wide variety of model types and cutting-edge modeling techniques. You will have exposure to a variety of business areas and work closely with other Risk Teams, Model Developers, Trading, and Finance, who are all key stakeholders in the day-to-day management of model risk.
Job responsibilities :

• Evaluate conceptual soundness of model specifications, reasonableness of assumptions, reliability of inputs, completeness of testing, correctness of implementation, and suitability and comprehensiveness of performance metrics and risk measures
• Perform independent testing of models by replicating or building benchmark models
• Design and implement experiments to measure the potential impact of model limitations, parameter estimation errors, and deviations from model assumptions; compare model outputs with empirical evidence or outputs from model benchmarks
• Evaluate the risks posed by non-transparent model parameters and/or non-linear relationships, and suggest ways to mitigate such risks
• Document the model review findings and communicate them to stakeholders
• Serve as the first point of contact for model governance related inquiries for the coverage area, and help identify and escalate issues to ensure that their resolutions are sound and timely
• Provide guidance on the appropriate usage of models to model developers, users, and other stakeholders in the firm
• Stay abreast of the ongoing performance testing outcomes for models used in the coverage area, and communicate those outcomes to stakeholders
• Maintain the model inventory and model metadata for the coverage area
• Maintain the pace with the latest developments in coverage area in terms of products, markets, models, risk management practices, and industry standards

Required qualifications, capabilities, and skills :

• Master's degree in a quantitative discipline such as Math, Physics, Engineering, Computer Science, Economics or Finance - with minimum 3 years of relevant working experience or a PhD.
• Excellence in probability theory, stochastic processes, statistical/economic modeling, partial differential equations, and numerical analysis.
• Understanding of options and derivative pricing theory and risks
• Proficient in Python, R, Matlab, C++, or other programming languages
• Risk and control mindset: ability to ask incisive questions, assess materiality of model issues, and escalate issues appropriately
• Strong communication skills with the ability to interface with front office traders, and other functional areas in the firm on model-related issues; and produce documents for internal and external (regulatory) consumption
• Strong analytical and problem-solving abilities

Preferred qualifications, capabilities, and skills :
Knowledge of machine learning is not required but a plus.
About Us
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.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
About the Team
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.