Quantitative Research wholesale Credit Risk - Associate Description: 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 3-6 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 plus 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. 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. Note : For your candidature to be considered on this job, you need to apply necessarily on the company's redirected page of this job. Please make sure you apply on the redirected page as well.

Mumbai

JP Morgan Chase - Associate - Quantitative Research/Wholesale Credit Risk 

Job Description for JP Morgan Chase - Associate - Quantitative Research/Wholesale Credit Risk  in JP Morgan Chase in  Mumbai for (3-6) years of experience. Apply Now!