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Credit Risk ML Scientist – Fintech, Remote

Posted yesterday

SENIORITY

Mid

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About the role

Prosper is seeking a Data Scientist to join the Data Science team in the Credit Risk Analytics vertical. You will contribute ML expertise to build models for credit and fraud risk, leveraging complex data sources at scale and collaborating with engineers to deploy them in production. You will help shape risk strategies within regulatory guidelines and drive improvements in key business metrics. The role emphasizes responsible AI, data-driven decision making, and cross-functional collaboration

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

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Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

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