Senior Data Scientist, Credit Risk (CECL / Stress Testing)

Moraph LLC

Chicago (IL)

On-site

USD 190,000 - 220,000

Full time

6 days ago
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Job summary

Moraph LLC in Chicago is seeking a senior credit risk modeler to develop CECL/IFRS9 expected-credit-loss and stress-testing models, and to support validation and governance reviews. You will design scenario frameworks for capital planning and document model behavior for risk committees.

Ideal candidates have 5+ years in credit risk modeling, hands-on CECL/IFRS9/CCAR-DFAST experience, and strong Python or R skills with a solid statistical modeling background.

Qualifications

  • 5+ years of credit risk modeling in banking, fintech or consulting.
  • Hands-on experience with CECL, IFRS 9 or CCAR/DFAST.

Responsibilities

  • Develop and maintain CECL / IFRS 9 expected-credit-loss and stress-testing models.
  • Design scenario frameworks and sensitivity analysis for capital planning.
  • Write model documentation and support validation and champion/challenger reviews.
  • Work with product and client teams to explain model behavior to risk committees.

Skills

Credit risk modeling
Statistical modeling
Python or R

Education

0

Tools

Python
R

Job description

Build the models banks use to set aside reserves and plan capital. You will develop the expected-credit-loss and stress-testing models behind our CECL calculator and DFAST products, to the standard examiners expect under SR 11-7.

What you'll do
  • Develop and maintain CECL / IFRS 9 expected-credit-loss and stress-testing models
  • Design scenario frameworks and sensitivity analysis for capital planning
  • Write model documentation and support validation and champion/challenger reviews
  • Work with product and client teams to explain model behavior to risk committees
What you'll bring
  • 5+ years of credit risk modeling in banking, fintech or consulting
  • Strong Python or R and statistical modeling skills
  • Hands-on experience with CECL, IFRS 9 or CCAR/DFAST
Compensation

$190,000 – $220,000 per year.

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