Senior Financial Portfolio Analyst – Servicing
New
F
FigureFintech, Finance
Location: RemoteFull-TimeSenior
SalaryBase Compensation Range: $85,360-$128,040/yr
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Job Details
- Experience
- 4–7 years
- Required Skills
- SQLSnowflakeTableau
Requirements
- Bachelor’s degree in Finance, Accounting, Statistics, Business, or related field.
- 4–7 years of mortgage FP&A, servicing analytics, or portfolio-analysis experience.
- Strong understanding of MSR economics, delinquency modeling, advance mechanics, and servicing cost structures.
- Experience with servicing systems such as MSP, Sagent, LoanServ.
- Proficiency with data analysis tools such as SQL, Snowflake, Tableau, Power BI.
- Ability to work independently and manage complex workloads with strict deadlines.
- 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.
Responsibilities
- Maintain and enhance servicing profit-and-loss models, including revenue streams, ancillary fees, sub-servicing costs, advances, late fees, recoveries, and corporate allocations.
- Support mortgage servicing rights (MSR) valuation by modeling discount rates, CPR/prepayment speeds, delinquency curves, and cost-to-service assumptions.
- Build dashboards tracking static pool performance, delinquency migration, modification outcomes, foreclosure metrics, and collection effectiveness.
- Forecast servicing revenue based on portfolio balance, runoff, payoffs, and interest-rate conditions; develop models for default expenses, foreclosure timelines, claim recoveries, and REO performance.
- Provide financial performance analysis, risk assessment, and compliance monitoring for servicing portfolios.
- Model escrow balances, interest earnings, advance recoverability, and servicing cost allocations by investor.
- Contribute financial insights to operational efficiency initiatives.
- Prepare monthly business review decks, variance analysis, margin analytics, and operational KPIs for senior leadership.
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