Manager, Credit Risk Strategy

Octane

Completely RemoteFull TimeFinance & Banking
Posted Today

Job description

Responsibilities

  • Perform advanced data analytics and advise on underwriting strategies for loan origination, loan amount assignment, and loan pricing
  • Work cross-functionally with Tech, Product, Sales, and Finance teams to implement new credit product initiatives
  • Take ownership of credit policy documentation and enhance processes to mitigate risk exposure
  • Design and monitor key KPIs to provide insights into the credit lifecycle
  • Maintain quality control and validation to ensure risk processes are working as expected
  • Collaborate with the portfolio risk team to track credit performance
  • Develop business insights and communicate proposals to C-level audiences and external partners

Requirements

  • Bachelor's degree in a quantitative field such as statistics, econometrics, decision sciences, or engineering
  • Strong understanding of consumer credit and lending lifecycle
  • 4+ years of experience in credit analysis
  • Experience with data visualization tools such as Tableau or Power BI
  • Exceptional hands-on experience with Python, SQL, and Excel
  • Ability to communicate complex, technical findings to broad audiences

Benefits

  • Robust Health Care Plans (Medical, Dental & Vision)
  • Generous Parental Leave
  • Flexible Time Off (FTO) Policy
  • Retirement Plan (401k) with company match
  • Educational Assistance/Tuition Reimbursement up to $3K/year
  • Life Insurance, Short Term and Long Term Disability
  • Wellhub (Gympass) Wellness Benefit
  • Recreational Safety Benefit

About the Company

Octane is unlocking the power of financial products for merchants and consumers. Founded in 2014, Octane supports over 60 OEM partner brands and over 4,000 dealer partners, providing cutting-edge technology and innovative financial products to empower businesses.

Skills & tools

PythonSQLTableauExcel

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 01Bachelor's degree in quantitative field
  2. 024+ years credit analysis experience
  3. 03Proficiency in Python, SQL, and Excel
  4. 04Experience with Tableau or Power BI
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