Manager-Quantitative Modeler – Unsecured/Secured Products

Location
Bangalore
Industry
Banking, Financial Services & Insurance
Contract Type
Permanent
Salary
₹ 2,800,000 - 3,000,000
Published
Contact
J Kolhar Eric
Reference
26-3-7770
Academic title
B.Tech/B.E.
MBA/PGDM
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Job description

The responsibility includes but not limited to the following activities:

  • Obtain and conduct QA/QC on all data required for CCAR/CECL model development
  • Develop segment and/or account level CCAR/CECL stress loss models
  • Perform all required tests (e.g. sensitivity and back-testing)
  • Validate/recalibrate all models annually to incorporate latest data. Redevelop as needed
  • Deliver comprehensive model documentation
  • Work closely with cross functional teams, including country/region’s business stakeholders, model validation and governance teams, and model implementation team
  • Prepare responses/presentations to regulatory agencies on all CCAR/CECL models built
Requirements

Qualifications:

  • Advanced Degree (Bachelors required, Masters / PhD preferred) in Statistics, Applied Mathematics, Operations Research, Economics, MBA (Finance), or other highly quantitative discipline
  • 5+ years’ experience in performing quantitative analysis, statistical modeling, loss forecasting, loan loss reserve modeling, and particularly econometric modeling of consumer credit risk stress losses
  • Experience with dynamics of unsecured or secured products a strong plus
  • Active role in performing some analytical components of an econometric modeling-driven stress loss process (data collection, data integrity QA/QC/reconcilements, pre-processing, segmentation, variable transformation, variable selection, econometric model estimation, sensitivity testing, back testing, out-of-time testing, model documentation, and model production implementation)
  • Exposure to various stress loss modeling approaches at the segment or account level preferred
  • Able to communicate technical information verbally and in writing to both technical and non-technical audiences
  • Proficiency in SAS/SQL/Oracle/Unix/Microsoft Word, Excel and PowerPoint
  • Work as an individual contributor
Benefits

5 Days week

Hybrid model (3 days from office)

comphrensive Policies

Other notes
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