Senior ML Model Risk Lead | Remote-First, Equity & ESPP

Kibbi Technologies Inc.

Winnipeg

On-site

CAD 145,000 - 205,000

Full time

14 days+
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Benefits offered by this job

Health coverage
Stipends for tech setup
Generous time off
Employee stock purchase plan

Job summary

Affirmer is seeking a skilled professional to join the Model Risk Management team. You will validate machine learning models used for credit underwriting, risk, and fraud detection, identify weaknesses, and collaborate to remediate findings.

This remote-first role offers broad cross-functional exposure within a dynamic risk framework and competitive pay in the Canadian market, with base pay range disclosed above.

Qualifications

  • 4-6 years of professional experience in model development/validation or data science.
  • Deep knowledge of ML modeling, credit underwriting, credit risk, or fraud risk.
  • Proficient in Python and SQL with experience on large datasets.

Responsibilities

  • Perform independent validation of ML models used for credit underwriting and fraud detection.
  • Identify model weaknesses and propose improvements.
  • Collaborate with model owners to remediate validation findings.
  • Help implement and maintain the MRM framework across the company.
  • Coordinate with Internal Audit, Controls, and Compliance on requests.

Skills

Model development
Model validation
Data science
Python
SQL
Machine learning
Credit underwriting
Fraud detection
Cross-functional collaboration
Critical thinking

Education

BS/MS/PhD in quantitative field

Tools

scikit-learn
pyspark
cloud-based coding environments

Job description

Affirmer is seeking a skilled professional to join the Model Risk Management team. You will validate machine learning models used for credit underwriting, risk, and fraud detection, identify weaknesses, and collaborate to remediate findings.

This remote-first role offers broad cross-functional exposure within a dynamic risk framework and competitive pay in the Canadian market, with base pay range disclosed above.

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