Job Description
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, ****** 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.
Job Description
Financial Institutions routinely use models for a broad range of activities including credit underwriting, valuing financial instruments, measuring and managing risk, assessing the adequacy of reserves and capital resources, and many other applications. 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. The Model Risk Governance and Review Group ("MRGR") oversees model risk at J.P. Morgan, conducts independent model and non-model reviews and provides guidance around model and non-model's appropriate usage.
The MRGR team oversees the risk posed by models in the fields of Machine Learning (ML), Statistics / Econometrics and Anti-Money Laundering (AML). We are data scientists, statisticians, risk managers, and early adopters of technology tasked with mitigating model risk. We also provide guidance around appropriate development of such models.
Position Overview
The primary role of the Associate is to (i) constructively challenge and improve wide variety of statistical/econometric, ML and AML models across different lines of business, allowing you to learn in a real-world environment and ii) quantitatively evaluate complex models using advanced statistical / ML techniques to assess model risks. A significant portion of the successful candidate's time is likely to be spent reviewing statistical / econometric and AML models. The statistical models are utilized in forecasting of the bank's deposits, revenues, and fees in BAU and stress scenarios. AML models cover Anti Money Laundering, Trade Surveillance, Sanctions Screening, Know Your Customer (KYC), Client Due Diligence (CDD), and other forms of financial crimes monitoring. This
💡 Quick Summary
Seeking a career-building opportunity? The CORP|Risk|Generic|Global|JPMC position is now open for candidates interested in the Bank Jobs sector. This role in Bengaluru offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.
