Data Scientist, Credit Risk Analytics at Prosper
$129,000–$179,000
Aug 4, 2026
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Sep 24, 2026
What this job asks for AI summary
A fintech lender is hiring a Data Scientist within its Credit Risk Analytics team to build and deploy machine learning models for credit and fraud risk management. The role spans the full lifecycle — from developing predictive models using credit bureau and alternative data sources to monitoring them in production and translating findings into business strategy. It suits a quantitatively trained professional with hands-on ML and statistical programming experience in a financial services context.
Mid level · 2+ years · Remote · Master's required · Full-time
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We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 24,800 people nationally plausibly meet what this posting asks for (data scientists). range 18,600–32,300
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $122,874 (middle half $87,544–$162,374).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 5, 2026. It is a model, not a headcount.
Why we read it this way (5)
The posting states 'Advanced degree (M.S./Ph.D.) preferably in statistics, computer science, engineering, physical sciences, economics, or a related technical field.' The word 'preferably' introduces some ambiguity, but the degree is listed under the primary skills/requirements section with no 'or equivalent experience' escape clause, so it is treated as a hard requirement at the Masters level.
The role is listed as fully remote (#LI-Remote) but also references San Francisco and Phoenix offices as optional locations; remote=true is appropriate.
Consumer lending experience (unsecured personal loans or credit cards) is explicitly called 'a strong plus' — it is a preferred signal, not a hard gate, and is not a named technology so it does not appear in the skills list.
No compensation figures are provided in the posting.
The title carries no seniority level; 2-3+ years of experience and the scope of independent delivery map to Mid-level, despite the strategic framing of the role.
Read the full posting
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