JPMorgan Quantitative Research Data analysis model execution - Associate 

India, Maharashtra, Mumbai 

946895229

Be part of 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.

Job responsibilities

• 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

Required qualifications, capabilities, and skills

• Minimum 3 years of experience working in Wholesale Risk Management, Corporate Finance, Data Analytics
• Familiarity 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
• Familiarity with Traditional Credit Products (Loans, Letter of Credit, Stand by Letter of Credit, Syndications)
• Experience with wholesale loans and commitments product and systems, as well as its data flows
• BA, BS degree required; Master degree, CFA