Decision Scientist | SME Lending

GLEESON REALTY GROUP LLC
Birmingham, AL, United States
18 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

A/B Testing Python (Programming Language) Machine Learning Standard Sql Software Engineering Feature Engineering

Job description

I’m currently recruiting for a Senior Decision Scientist to join a growing financial services business, working at the forefront of SME lending and automated credit decisioning.

This is a great opportunity for someone who wants to take ownership of the full model life cycle from identifying the problem and building models through to deployment, monitoring and optimisation - while working closely with Data, Risk and Product teams. What you’ll be doing

  • Develop and deploy ML and statistical models across credit risk, affordability and pricing
  • Own models end-to-end, including data, feature engineering, modelling, validation, deployment and monitoring
  • Build model monitoring frameworks and performance dashboards
  • Explore new data sources, challenger models and A/B testing to improve decisioning
  • Turn complex analysis into clear, commercially focused insights
  • Work closely with both technical and senior business stakeholders to influence lending strategy

Requirements

  • Strong Machine Learning experience within SME lending
  • Strong Python and SQL skills
  • Proven experience taking models through the full development life cycle
  • Background in FinTech, lending or automated decisioning
  • Good understanding of UK credit risk and regulatory requirements
  • Confident communicator who can bridge the gap between Data, Risk and Commercial teams

Desirable: Consumer lending experience, model governance/monitoring experience, and a strong commercial mindset with genuine ownership.

If you’re a Senior Data Scientist, Decision Scientist or Credit Risk Modelling specialist looking for a role where you can have real influence over SME lending strategy, I’d be keen to hear from you.

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