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QR Data Strategy and Analytics - Analyst

5.00 to 11.00 Years   Mumbai City   14 Dec, 2021
Job LocationMumbai City
EducationNot Mentioned
SalaryNot Disclosed
IndustryBanking / Financial Services
Functional AreaGeneral / Other Software,Sales / BD
EmploymentTypeFull-time

Job Description

IBQR Data team provides excellent exposure on Credit Risk, Basel regulations, CECL/IFRS9 forecasting and stress forecasting. The team works across the Wholesale bank and is closely aligned with firm-wide partners including Quantitative Research, Finance, Model Risk Governance, Chief Data Office, Technology and the Regulatory Capital Management Office. We seek candidates with strong skills in corporate finance, data analytics, big-data architecture and communication.Roles & Responsibilities:

  • 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
  • Perform data analysis to support model development and analytics
  • Liaise with various lines of business and risk modelers, thoroughly understand various models for BASEL, CCAR, CECL and other credit risk models
  • Work with multiple stakeholders to elicit, analyze, refine and document business process and data requirements
  • Collaborate through the entire Software Development Life Cycle (SDLC) including planning, analysis and testing of new applications and enhancements to existing applications.
  • Define data models, metadata and data dictionary that will enable data analysis and analytical explorations
  • Perform user acceptance testing and deliver demos to stakeholders by SQL queries or Python scripts
Qualifications:
  • Bachelor s or Master s in Computer Science, Data Analytics or equivalent discipline
  • Data Analysis and data manipulation skills using SQL, Python & MS Excel is Required
  • Data Visualization tools like Tableau, Qlik View, Power BI etc is nice to have
  • Strong analytical skills in forecasting and interpreting results and comfortable working with large quantities of data
  • Familiarity with Traditional Credit Products (Loans, Letter of Credit, Stand By Letter of Credit, Syndications etc)
  • Detail oriented and strong organizational skills
  • Excellent communication abilities, both written and oral
  • Ability to solve problems creatively while working in a dynamic and challenging environment under tight deadlines
  • Eagerness to learn about Credit Risk, Risk Parameters, Regulatory and Accounting concepts
,

Keyskills :
software development life cycleuser acceptance testingpower bilife cyclecredit risksql queriesdata modelsuser storiesdata analysisdata analytics

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