Quantitative Financial Analyst
$106.6k - $130.1kBECU
Is it surprising to hear that a financial institution of 1.5 million members and over $30 billion in managed assets say that success comes from focusing on people, not profits?
Our "people helping people" philosophy has guided us since 1935, driving our deep commitment to serving our members, communities, and each other. When you join our team, you become part of a purpose-driven organization where your work makes a real difference. While we're proud of our history, we're even more excited about our future. With business and technology transformation on the horizon, there's never been a better time to be part of BECU. You bring more than your expertise to your role, and that matters here. Your story, perspectives, and lived experiences help shape belonging at BECU and deepen how we connect with and support our employees, our members, and our communities. PAY RANGE The Target Pay Range for this position is $106,600.00-$130,100.00 annually. The full Pay Range is $82,900.00 - $154,000.00 annually. At BECU, compensation decisions are determined using factors such as relevant job-related skills, experience, and education or training. Should an offer for employment be made, we will consider individual qualifications. In addition to your salary, compensation incentives are available for the hired applicant. Incentives are performance based and targets vary by role. BENEFITS - because people helping people starts with supporting you- 401(k) Company Match (up to 3%)
- 4% annual contribution to your 401(k) by BECU
- Medical, Dental and Vision (family contributions as well)
- PTO Program + Exchange Program
- Tuition Reimbursement Program
- BECU Cares volunteer time off + donation match
IMPACT YOU'LL MAKE As a Quantitative Financial Analyst , you'll bring quantitative thinking, financial modeling, and technology together to help BECU make smarter Treasury and balance sheet decisions.
You'll apply your understanding of fixed income, interest rate risk, financial modeling, and coding to complex challenges across Asset Liability Management (ALM), mortgage and balance sheet hedging, pricing, profitability, and portfolio risk. You won't simply produce reports-you'll dig into the models and assumptions behind them, identify opportunities to improve how we measure risk and performance, and turn quantitative analysis into insights leaders can act on.
You don't need to come in knowing every aspect of Treasury or mortgage hedging. We're looking for someone with a strong quantitative foundation, curiosity, and the ability to independently solve complex problems and quickly learn the business behind the models.
WHAT YOU'LL DO
- Turn Quantitative Analysis into Decisions: Apply financial modeling and quantitative analysis to help Treasury and business leaders understand interest rate risk, profitability, portfolio behavior, and balance sheet opportunities.
- Advance ALM & Risk Analytics: Support analysis across NII and Economic Value/EVE sensitivity, duration and convexity, scenario and stress testing, deposit behavior, loan prepayments, and other balance sheet risk measures.
- Enhance Financial Models: Understand existing Treasury models, challenge assumptions, recommend improvements, maintain model parameters, and extend analytical capabilities as business needs evolve.
- Build New Solutions: Develop quantitative models and analytical applications when new questions arise, translating ambiguous business problems into structured analytical solutions.
- Modernize Pricing Analytics: Support the transition of pricing models to Snowflake and help build stronger attribution and sensitivity analytics supporting offset center P&L and profitability insights.
- Support Portfolio & Hedging Decisions: Apply fixed income valuation, derivatives, duration, convexity, and risk-management concepts to mortgage portfolio and broader balance sheet hedging activities.
- Automate & Scale: Use Python and Excel/VBA to automate processes, improve analytical workflows, and create more efficient and scalable solutions.
- Partner Across the Business: Collaborate with Treasury, Enterprise Risk Management, Credit Risk, Product, and portfolio leaders to explain models, support validation, and help establish meaningful guardrails and guidelines.
- Strengthen Model Governance: Maintain model documentation, assumptions, and parameters while navigating appropriate model governance and validation processes.
WHAT YOU'LL GAIN
- Hands-on exposure to ALM, interest rate risk, fixed income, mortgage hedging, pricing, and balance sheet strategy
- Opportunities to build, enhance, and modernize quantitative models that directly support Treasury decision-making
- Experience applying advanced analytics to real-world financial and portfolio challenges
- Opportunities to work across Treasury, Risk, Credit, Product, and portfolio management teams
- Exposure to modern analytical environments, including Python, Snowflake, automation, and AI-assisted development
- The opportunity to deepen your Treasury expertise while bringing fresh quantitative thinking to complex business problems
- Master's degree or PhD in Financial Engineering, Quantitative Finance, Mathematics, Statistics, Econometrics, Physics, or a closely related quantitative field.
- Quantitative and financial modeling expertise, with demonstrated experience developing, applying, or enhancing financial or statistical models; strong knowledge of fixed income, interest rate risk, valuation, duration, convexity, derivatives, and portfolio risk management; and advanced proficiency in Python and Excel/VBA.
- Demonstrated ability to independently solve complex and ambiguous problems, challenge assumptions, improve analytical approaches, and translate quantitative findings into clear insights for diverse audiences, with the curiosity and learning agility to quickly build knowledge across Treasury and financial concepts.
- Applied experience with Asset Liability Management (ALM), Treasury analytics, FTP, capital management, balance sheet strategy, or profitability analytics.
- Experience with NII/EVE sensitivity analysis, deposit behavioral modeling, loan prepayment modeling, scenario analysis, or stress testing.
- Experience with mortgage hedging, fixed income portfolio management, derivatives analytics, rates/trading support, investment analytics, or other interest-rate hedging environments.
- Experience building quantitative models from scratch through professional experience, internships, or graduate-level projects.
- Experience with Snowflake, Git/GitHub, or similar modern data and development environments.
- Experience using AI-assisted development or AI pair-programming tools as part of an analytical or coding workflow.
- Experience within a bank, credit union, mortgage company, financial services organization, or consulting environment is helpful but not required.
At BECU, you'll have the opportunity to go beyond producing analysis. You'll challenge assumptions, improve models, solve new problems, and help leaders understand what the numbers mean for our balance sheet, our business, and our members.
Whether your experience comes from Treasury, fixed income, quantitative finance, consulting, graduate research, or another analytical environment, if you bring a strong quantitative foundation, curiosity, and the drive to solve complex financial problems, we want to hear from you.
Embrace the opportunity to grow with us. Apply now, bring your expertise to the table, and let's achieve excellence together at BECU. Your journey of influence, innovation, and impactful contribution starts now.
#BECU #YourGrowth #BECUJourney
EEO Statement: BECU is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, veteran status, disability, sexual orientation, gender identity, or any other protected status.
Vacancy posted 2 days ago
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