"credit risk modeling" Jobs
397 open tech roles matching “credit risk modeling”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, SQL, AI/ML. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 397 results
Join Affirm as a Senior Analyst to optimize business strategies using advanced data analytics in a fully remote environment.
Lead the design and delivery of complex risk platform features in a remote-first environment at Coinbase.
Join Brigit as a Lead Data Scientist to build and optimize ML models that enhance financial services for Americans living paycheck to paycheck.
Join Brigit as a Lead Data Scientist to build and improve ML models that enhance financial services for Americans living paycheck to paycheck.
Join FalconX as a Core Quantitative Developer to shape trading strategies and manage financial risks in the crypto market.
Join Brigit as a Senior Data Scientist to build and improve ML models that enhance financial wellness for millions of Americans.
Join Brigit as a Senior Data Scientist to build and improve ML models that enhance financial wellness for millions of Americans.
Lead a team of Credit Risk Operations Associates at Stripe, focusing on commercial credit underwriting and risk mitigation.
Join Rain as a Machine Learning Engineer to build scalable systems for fraud detection in a fast-paced, hybrid work environment.
Join Rain as a Fraud Risk Support Analyst to protect customers and enhance fraud detection in a fast-growing fintech environment.
Drive the lifecycle success of strategic consumer lending customers at Nova Credit while fostering deep client relationships.
Join Crux as a Principal in Tax Credit Markets to lead renewable tax credit transactions in a rapidly growing clean energy company.
Join Block as a Staff Product Data Scientist to enhance credit products for underserved customers in a fully remote environment.
Join Block as a Staff Product Data Scientist to enhance credit products for underserved customers in a fully remote role.