Wcr - Portfolio Analytics - Associate

2 weeks ago


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

**Associate**

Mumbai

Wholesale Credit Risk is an organization spanning across CB, CIB and AWM Credit Risk. This role will sit within the Portfolio Analytics team, that is focused on reshaping the end-to-end Wholesale Credit Risk experience through deployment of advanced analytical frameworks and Machine Learning algorithms on top of the firm's big data resources.

We are looking for an Associate / Analyst to join our Industry Risk Monitoring team in Mumbai. IRM team's mission is to perform proactive industry and event risk monitoring for CIB and CB credit portfolios that will support the senior management in portfolio decisioning. The team is tasked with developing the next-generation analytics platform for industry risk surveillance and assessment of emerging event risk and market shocks on the global credit portfolio.
- You will contribute to development of the analytical risk framework to assess and quantify the impact of geo-political, industry-specific shocks and other tail events including propagation effects within global supply chain network.
- You will contribute to building the data framework on industry-specific and macro-economic metrics with global breadth of coverage. You will employ NLP and other ML techniques on traditional financial data sources such as annual reports and earnings calls and combine them with firm's internal data sources and alternative datasets from external vendors.
- You will be responsible for regularly tracking key geo-political, policy, commodity, demand-supply and supply chain developments across multiple industries and geographies through various channels not limited to news and research reports.
- You will liaise with various credit risk teams, analytics and surveillance teams with Strategy Analytics, technology, product and other critical functions within Wholesale Credit Risk.

**Minimum Skills, Experience and Qualifications**
- Graduate in Engineering, Economics or Statistics
- 4+ years experience
- Good proficiency in coding with Python or R
- Good working knowledge of 2-3 industry verticals such as Auto, Oil & Gas, Healthcare etc.
- Knowledge of financial markets (including macro and micro-economics)
- Basic understanding of equity, bonds, derivatives and other financial instruments
- 1-2 years experience in Regression modelling, Clustering, Decision trees, NLP techniques or Financial Modelling (DCF valuation)
- Intellectual curiosity with ability to learn quickly, innovation mindset and passionate about solving challenging complex problems

Ability to perform well in fast paced environment

**Additional Skills, Experience and Qualifications**

The following additional items will be considered but are not required for this role
- Relevant post graduate qualifications (CFA, Masters in Finance or Economics) would be highly regarded
- Experience in Credit Risk, Market Risk, Country Risk or Global Research preferred

**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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