Credit Risk Manager

Figure

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$134,640–$168,300 / yr
Posted
17 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $182k
This role $151k
$125k most similar roles pay here $225k

This role pays less than 72% of similar roles. Most pay $150,000–$215,000 — the shaded band above. At the midpoint, this role pays about $151k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About Figure

Figure Technologies is a financial technology company that uses blockchain technology to offer home equity lines of credit (HELOCs), mortgage refinancing, and other lending products with faster approval times. Industry: Financial Technology & Lending

View all roles at Figure

At a glance

TL;DR · Credit Risk Manager

As a Credit Risk Manager, you will join a collaborative team to manage credit policies and develop innovative risk frameworks for HELOC and secured lending portfolios. You will be responsible for refining underwriting strategies using advanced analytics, performing root-cause analyses on credit losses, and developing valuation models to estimate segment-level economics. Your daily work involves partnering with cross-functional teams like Product, Engineering, and Compliance to design A/B tests, monitor new product launches, and present underwriting methodologies to investors. To succeed in this role, you must possess a quantitative background and expertise in SQL, Python/R for data modeling, and visualization tools such as Tableau, Power BI, or Looker. You will apply predictive modeling and statistical procedures to evaluate borrower behavior within the specific domain of real-world asset tokenization and blockchain-native capital markets.

What you'll do

  • Refine and modernize credit underwriting strategies using advanced analytics to optimize risk decisions across lending products.
  • Analyze historical loan performance data to model expansion initiatives, identify new customer segments, and optimize funnel conversion.
  • Perform root-cause analyses on credit losses and default trends to improve fraud controls.
  • Develop valuation models to estimate segment-level economics and advise Capital Markets on yield projections.
  • Design A/B tests with Product and Engineering teams to balance risk control with user experience.
  • Track and validate performance for all deployed credit and fraud rule changes.
  • Create monitoring frameworks to track new product launches and identify emerging portfolio risks.
  • Present underwriting methodologies to investors and serve as a primary contact for due diligence inquiries.

What we're looking for

  • Bachelor or Master’s degree with a quantitative background such as Statistics, Math, Economics, Computer Science, Engineering, or Business.
  • 5+ years of experience in credit risk management or data science within consumer lending.
  • Advanced proficiency in SQL and Python/R for pulling, cleaning, and modeling complex relational data independently.
  • Experience with Tableau, Power BI, and Looker.
  • Practical application of predictive modeling, customer segmentation, and statistical procedures to evaluate risk and borrower behavior.
  • Strong analytical and problem-solving skills combined with solid business judgment.
  • Ability to translate complex data into simple, actionable insights for various audiences.
  • Must be authorized to work in the United States.

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