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Risk - Quantitative Research - IBQR - Analyst

2.00 to 5.00 Years   Mumbai City   16 Nov, 2020
JPMorgan
Job LocationMumbai City
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaRisk / Underwriting
EmploymentTypeFull-time

Job Description

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 ResponsibilitiesThe 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 platformDefine data models , metadata and data dictionary that will enable data analysis and analytical explorationsUnderstand the implementation of the forecasting architecture, systems and dataflowIdentify issues and streamline data flow from acquisition to results productionSupport the strategic build-out of stress testing workflow/dataflow for future initiativesLiaise with technology partners and LOBs to improve and enhance the forecasting processHelp to plan and perform for all production/testing needsPerform control and reconciliation against deliveries in addition to creating/enhancing formal governanceThe 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 lifecycleData Analysis and data manipulation skills using SQL , Python & MS Excel is RequiredCoding knowledge and experience in Python/SQL is requiredUnderstanding of big-data analytics and strategic data synthesisAbility 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 stakeholdersTableau and data visualization familiarity is a plusFamiliarity 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,

Keyskills :
us gaapdata flowcredit riskdata modelsuser storiesdata analysisdata analyticsstress testingrisk managementdata processingdata dictionary

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