Credit Risk ML Scientist (Remote)

Risk Hub; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

401(k) with company match

Flexible time off

Udemy access

Health coverage

Job summary

Prosper is seeking a Data Scientist to join our Data Science team within the Credit Risk Analytics vertical. You will be a core contributor with ML expertise, delivering results impacting our credit risk decisions and business metrics.

You will collaborate with engineers to deploy models, work with diverse data sources, and follow responsible AI practices within regulatory guidelines. This role offers a remote-first environment with strong growth opportunities.

Qualifications

• At least 3+ years applying statistical and ML techniques in fintech or high-impact fields.
• Experience with consumer lending is a plus.
• Advanced degree preferred (MS/PhD).
• Strong Python and SQL skills.
• Ability to communicate complex topics clearly.

Responsibilities

• Build industry-leading machine learning models for credit risk and fraud.
• Leverage diverse data sources to improve risk decisions.
• Collaborate with engineers to deploy models in production.
• Conduct ad-hoc analyses related to risk management.

Skills

Credit risk analytics

Statistics & ML

Python

SQL

Communication

Team collaboration

Education

MS/PhD in statistics, CS, econ

Tools

Git

Jupyter

Job description

Prosper is seeking a Data Scientist to join our Data Science team within the Credit Risk Analytics vertical. You will be a core contributor with ML expertise, delivering results impacting our credit risk decisions and business metrics.

You will collaborate with engineers to deploy models, work with diverse data sources, and follow responsible AI practices within regulatory guidelines. This role offers a remote-first environment with strong growth opportunities.