Level

Figure AI

Senior Pricing Analyst

Figure AI is hiring a Senior Pricing Analyst in New York, United States. It pays $68k-$102k a year and Level rates it ; you can apply on Level.

AI in this role

Manage execution of loan pricing changes, monitor accuracy, and support pricing optimization efforts across consumer and commercial portfolios.

data-analyticscapital-marketsloan-pricingcredit-riskfpnafintech

About Figure

Figure Technology Solutions, Inc. (Nasdaq: FIGR; OPEN: FGRS) is the leading blockchain-native capital marketplace for the origination, funding, sale and trading of tokenized assets. More than 480 partners use its loan origination system and capital marketplace. Collectively, Figure and its partners have originated over $30 billion of loans to date, among other products. The fastest growing components are Figure Connect, its credit marketplace, and Democratized Prime, Figure’s on-chain lend-borrow marketplace. Figure’s ecosystem also includes DART (Digital Asset Registry Technology) for asset custody and lien perfection, and $YLDS, a yield-bearing stablecoin registered with the SEC as a security under the Securities Act of 1933.

Figure is the market leader in real-world asset (RWA) tokenization. The company has received triple-A ratings from S&P and Moody’s on multiple loan securitizations, the first of its kind for blockchain finance.

We’re proud to be recognized as one of Forbes’ Top 50 Fintech Companies and CNBC’s World’s Top Fintech Companies.

About the Role

As a Senior Pricing Analyst, you'll support the operational and analytical backbone of Figure's pricing function, encompassing consumer loan pricing and commercial pricing models. Working closely with the Pricing & Revenue Strategy Lead, you'll execute day-to-day pricing operations and assist in customizing pricing strategies across Figure's partner network. This is a hands-on role suited for someone who wants to build deep fluency in loan pricing mechanics while contributing to a growing strategic function.

What You'll Do

  • Own execution of loan pricing changes and updates across channels and partners, working across pricing grids, systems, and internal tools
  • Monitor pricing accuracy, develop controls, and flag discrepancies or errors across pricing grids and automated workflows
  • Analyze product performance, funnel conversion, and competitor pricing to support pricing optimization efforts
  • Build and maintain dashboards and reporting to track key pricing and revenue metrics, including competitor pricing reporting
  • Support ad hoc financial and market analysis requests from Credit, Product, Marketing, and Go-to-Market teams
  • Document pricing processes and help maintain clear, accurate records of pricing decisions and their rationale

What We Look For

  • 2-4 years of experience in data analytics, capital markets, loan pricing, credit risk, FP&A, or a related analytical role, ideally within fintech or financial services
  • Advanced analytical skills with proficiency in Excel, SQL, and Python; experience with dashboarding tools such as Tableau
  • Experience with D2C pricing; AB testing
  • Proven ability to translate complex data into actionable strategy and effectively communicate insights to diverse audiences
  • Experience collaborating with cross-functional teams 
  • Strong organizational and communication skills
  • Self-starter comfortable with ambiguity and capable of independently driving initiatives
  • Bachelor's degree in a quantitative field (e.g., Economics, Finance, Math, Engineering); advanced degree a plus
  • Adhere to all company security policies and data handling procedures.
  • Complete mandatory security awareness training within required timeframes.
  • Promptly report any suspected security incidents or suspicious activity to the Security team.

Salary

  • Base Compensation Range: $68,000 - $102,000/yr
  • 25% annual bonus target, paid quarterly 
  • Company equity in the form of RSUs

This is the compensation range for the role in the United States. Actual compensation may vary based on a candidate’s experience, skills, location, internal equity, and evolving business needs. While most offers are generally made within the middle of the range, final compensation is determined based on the factors above.

Benefits

  • Comprehensive medical, dental, and vision coverage, with 100% employer-paid premiums for employees and their dependents on select plans
  • Company HSA, FSA, Dependent Care FSA, 401(k), and commuter benefits
  • Employer-paid life and disability insurance
  • 11 observed holidays and PTO plan
  • Up to 12 weeks of paid family leave
  • Continuing education reimbursement

Depending on your residential location certain laws might regulate the way Figure manages applicant data. California Residents, please review our California Employee and General Workforce Privacy Notice for further information. By submitting your application, you are agreeing  and acknowledging that you have read and understand the above notice.

Figure will not sponsor work visas for this position. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

#LI-RF1 #LI-Remote

How we rate this

Senior Pricing Analyst at Figure AI rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Data AnalyticsCapital MarketsLoan PricingCredit RiskFpnaFintech

Questions you could be asked

  1. Tell me about a project where data analytics was part of your work. What did you do?
  2. Tell me about a project where capital markets was part of your work. What did you do?
  3. Tell me about a project where loan pricing was part of your work. What did you do?
  4. Tell me about a project where credit risk was part of your work. What did you do?
  5. Tell me about a project where fpna was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Analytics, Capital Markets, Loan Pricing, Credit Risk, and Fpna. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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