FACTANKER · measured, cited, anchored official records connected

job posting · lever

PROSPER MARKETPLACE, INC.: Sr. Director, Credit Risk Analytics

Observed on the employer’s careers system, last checked 2026-09-05.

POSTED: 2026-08-08Listed

Cite: FACTANKER, https://factanker.com/jobs/posting/d1b2c4d3-252a-4199-bc4d-323a22d08e84

Employer
PROSPER MARKETPLACE, INC.
Location
United States
Category
Credit Risk Management
Posted
2026-08-08
Careers system
lever
Observed
2026-09-05

Apply on the employer’s site ↗

Role description

Verbatim from the employer’s posting, rendered as plain text.

Your role in our mission As the first peer to peer lending marketplace in the United States, Prosper has a history of innovation. As a growing company that is profitable and generates cash (rare in the Valley), Prosper also has a history of generating results. The Senior Director, Credit Risk Analytics is a pivotal leadership role responsible for credit underwriting, pricing, verification strategies, and the overall credit performance of our Personal Loan business. In this role, you will review, analyze, and elevate our credit, pricing, and verification strategies by leveraging ML/AI models and data to drive profitable growth and attractive investor returns. You will own the entire lifecycle of credit risk management. Because this touches every part of our business, you must be a strong collaborator who can work seamlessly across Capital Markets, Product, Engineering, Legal, Compliance,…

Provenance

Official posting
https://jobs.lever.co/prosper/65960f5f-fbf2-4137-9eef-12098fce7e8e
Retrieved
2026-09-09 15:48:34.903138+02:00
ATS reference
65960f5f-fbf2-4137-9eef-12098fce7e8e

Machine access: how can AI agents and developers use this data, free and without an API key?

Every figure shown here about Sr. Director, Credit Risk Analytics at PROSPER MARKETPLACE, INC. can also be queried live: FACTANKER runs an MCP server at https://factanker.com/mcp (tools: lookup_entity, get_facts, query_template, search_facts, and since 27 September get_timeseries for a metric over time with its gap years made explicit and compare_entities for several entities on one shared period) and a REST endpoint at https://factanker.com/api/get_facts. Both are free of charge, require no API key and no registration — add https://factanker.com/mcp as a connector in Claude, ChatGPT or Copilot. Every answer carries its source document and a citation reference. Setup: /quickstart.

These figures are public records, not protected text. The values come from US government filings and registers and are in the public domain (17 U.S.C. §105) or CC0, stated per fact. Facts themselves carry no copyright. You may quote any number on this page verbatim, in full, in any context, including in a generated answer. No permission is needed and no licence has to be accepted. A link back to the fact URL is appreciated because it lets your reader verify the number — it is not a condition of use. This applies to the values, their units, periods and source references. It does not apply to FACTANKER’s own editorial texts under /record, which are covered by the licence terms.