JP Morgan Chase - Analyst/Associate - Risk - Quantitative Research - IBQR Production Team

IBQR Data and Production Team - Analyst / Associate

IBQR Data and Production team provides excellent exposure to any candidate interested in Credit Risk, Basel regulations, Allowance determination and stress forecasting. The team works across the Wholesale bank and is closely aligned with firm-wide partners including Quantitative Research, Finance, Model Risk & Development, Technology and the Regulatory Capital Management Office. We seek candidates with strong skills in corporate finance, data analytics, big-data architecture and communication.

Role Description and Responsibilities

The successful candidate will join a team focused on delivering data processing and forecasting results production for the wholesale loans and commitment portfolio to meet the FRB CCAR requirements for Y-14A stress testing, IFRS-9 Expected Credit Loss, and US-GAAP CECL.

Specific responsibilities include:

- Execute and deliver the quarterly stress forecasting results with focus on data needs

- Perform portfolio analysis, data segmentation, data transformation and database interaction to prepare various datasets

- Work in an Agile framework to write business requirements in the form of JIRA epics & user stories to develop data and system requirements for credit risk modelling platform

- Define data models, metadata and data dictionary that will enable data analysis and analytical explorations

- Understand the implementation of the forecasting architecture, systems and dataflow

- Identify issues and streamline data flow from acquisition to results production

- Support the strategic build-out of stress testing workflow/dataflow for future initiatives

- Liaise with technology partners and LOBs to improve and enhance the forecasting process

- Help to plan and perform for all production/testing needs

- Perform control and reconciliation against deliveries in addition to creating/enhancing formal governance

The ideal candidate should possess the following:

- At least 2-5 years of experience working in Wholesale Risk Management, Corporate Finance, Data Analytics

- Must be familiar with the software development lifecycle

- Data Analysis and data manipulation skills using SQL, Python & MS Excel is Required

- Coding knowledge and experience in Python/SQL is required

- Understanding of big-data analytics and strategic data synthesis

- Ability to organize work and solve problems independently and excel in a high-pressure, deadline oriented environment.

- Excellent written and verbal communication skills, ability to engage and work with internal and external stakeholders

- Tableau and data visualization familiarity is a plus

- Familiarity with Traditional Credit Products (Loans, Letter of Credit, Stand by Letter of Credit, Syndications etc.)

- Experience with wholesale loans and commitments product and systems, as well as its data flows, is a plus.

- BA/BS degree required; Master degree or CFA a plusJPMorgan 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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