Model Risk Governance and Review- 2023 Reentry

1 month ago

Mumbai, India JPMorgan Chase Bank, N.A. Full time

Please refer to our ReEntry Overview page for further information regarding the Program

As part of Risk Management and Compliance, 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 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.
The MRG ML Center of Excellence oversees model risk posed by Machine Learning (ML) models. We are data scientists and risk managers with experience in a wide variety of fields.

We offer a dynamic environment for professional development in the field of ML. Specifically, we offer you the opportunity to
- conduct original research on challenging and ambiguous ML problems, and provide guidance to the broader modeling community on the appropriate use of ML. In recent years, our team has published several research papers both internally and externally.
- Interact with, and learn from, other ML experts.Machi

The position is located in the Mumbai, India

**Minimum Skills, Experience and Qualifications**
- Evaluate the risk posed by ML models, and suggest ways to mitigate such risks.
- Evaluate conceptual soundness of ML model specification; reasonableness of assumptions; reliability of inputs; completeness of testing performed; correctness of implementation; and suitability / comprehensiveness of performance metrics and risk measures.
- Ensure that the models are explainable and correctly specified.
- Liaise with Finance and Risk professionals to monitor usage and performance of models.
- Evaluate market conditions under which a given model is likely to break down.
- Cogently document findings.
- Perform, present, and publish research on ML issues facing the bank.
- A Ph.D. or master's degree in a quantitative field such as Finance, Economics, Math, Physics or Engineering is required.
- 3-8 years of experience.
- Some understanding of statistics / econometrics is preferred.
- Thorough knowledge of at least one programming language such as R, Python, Scala, etc.
- Good communication skills. The role requires interacting with many groups across the firm, as well as producing documents for both internal and external (regulatory) consumption

**About Us**
Across JPMorgan Chase, we serve millions of customers and many of the world's most prominent corporate and government clients. Our mission is to build a stronger, more equitable economy, and we strive to make a positive impact everyday with our customers in their communities. We are proud of our reputation as one of the world's most admired companies and we know that it's our people who make us successful. We are committed to a diverse and inclusive workplace where our employees are welcomed, valued and able to bring their authentic selves and best work forward.

JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.

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