IRRBB Manager

Mercury
San Francisco; Portland, US
Hybrid

Who this role is best for

Best suited to mid-level finance professionals with expertise in asset-liability management and interest rate risk modeling, working in banking or fintech.

Best fit for

  • Bank treasury professionals with hands-on ALM system experience
    — “5+ years of experience in bank ALM, bank Treasury, IRR modeling
  • Quantitative analysts skilled in behavioral modeling assumptions
    — “Design, document, and support behavioral assumptions
  • Finance professionals comfortable with regulatory compliance in IRRBB
    — “Ensure compliance with internal policies and regulatory expectations

Things to consider

  • Requires ongoing model validation and audit support
    — “Support model validation, audit, and regulatory review processes
  • Must align modeling assumptions across Finance and Risk teams
    — “Partner with Finance and Risk teams to ensure alignment

How to stand out

  • Highlight specific ALM platforms you've implemented or optimized
    — “Hands-on experience with ALM or cash flow engine platforms
  • Demonstrate cross-functional collaboration in balance sheet forecasting
    — “Supporting a cross functional operating model for balance sheet forecasting
  • Showcase automation improvements in prior financial modeling work
    — “Identify opportunities to improve automation, efficiency, and model sophistication
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · CompanyLevel · Senior

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • accurate NII and EVE projections
  • defensible behavioral assumptions
  • cross-functional balance sheet forecasting
Typical background
bank ALMquantitative finance

Skills & requirements

Required

Asset-liability ManagementBehavioral ModelingFinancial ModelingIRR Modeling

Preferred

Model ValidationRegulatory Compliance

Stack & domain

PythonSQLRExcelProblem-solvingCommunicationFinanceBanking

About the role

Original posting from Mercury via Greenhouse

Role Overview

We are seeking an analytical and technically skilled professional to lead the implementation, management, and ongoing enhancement of our cash flow engine. This role will be responsible for modeling balance sheet cash flows, supporting interest rate risk (IRR) analytics, and ensuring the integrity of key metrics such as Net Interest Income (NII) and Economic Value of Equity (EVE).

The ideal candidate brings a strong understanding of asset-liability management (ALM), behavioral modeling, and financial modeling frameworks, along with the ability to translate complex assumptions into actionable insights.

Key Responsibilities

Support the vendor selection and system implementation of the firm’s cash flow engine / ALM system

Develop, maintain, and enhance cash flow models for assets and liabilities that will be used for risk monitoring and balance sheet forecasting

Produce and analyze interest rate risk metrics, including NII and EVE under various scenarios

Design, document, and support behavioral assumptions (e.g., prepayments, deposit decay, betas, non-maturity deposit modeling)

Partner with Finance and Risk teams to ensure alignment of modeling assumptions and outputs

Perform scenario analysis and sensitivity testing to support balance sheet strategy and risk management

Ensure data integrity, model accuracy, and compliance with internal policies and regulatory expectations

Support model validation, audit, and regulatory review processes

Identify opportunities to improve automation, efficiency, and model sophistication

Qualifications

Bachelor’s degree in Finance, Economics, Mathematics, Engineering, or a related field (advanced degree preferred)

5+ years of experience in bank ALM, bank Treasury, IRR modeling, or quantitative finance

Strong understanding of:

Bank balance sheets, products, and cash flow drivers

Net Interest Income (NII) modeling

Economic Value of Equity (EVE)

Interest rate risk frameworks

Cash flow hedging

Experience developing and supporting behavioral models and assumptions (e.g., deposits, loans, prepayments)

Hands-on experience with ALM or cash flow engine platforms (e.g., QRM, Empyrean, BancWare, or similar)

Strong quantitative and analytical skills; proficiency in Excel and/or programming tools (Python, SQL, R a plus)

Ability to communicate complex modeling concepts to non-technical stakeholders

Preferred Skills

Experience in banking* or financial services

Familiarity with regulatory expectations for IRRBB and model risk management

Experience with model validation or governance frameworks

Strong problem-solving mindset with attention to detail

What Success Looks Like

A fully implemented and reliable cash flow engine supporting accurate NII and EVE projections with up to monthly production runs

Well-documented and defensible behavioral assumptions

Supporting a cross functional operating model for balance sheet forecasting

Clear, actionable insights that inform balance sheet and risk management decisions

Scalable modeling infrastructure that evolves with the business

Compensation

The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate's experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

US employees in New York City, Seattle, Los Angeles or San Francisco: $207,800 - $259,800

US employees outside of New York City, Seattle, Los Angeles or San Francisco: $187,000 - $233,800

Canadian employees (any location): CAD  196,400 - 245,500

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

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Source: Mercury careers (Greenhouse)

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