Quantitative Financial Analyst

BECU • Washington, DC

8d • $82,900 - $154,000 • Hybrid

About The Position

This role is for a Quantitative Financial Analyst at BECU, a financial institution with 1.5 million members and over $30 billion in managed assets. BECU operates on a "people helping people" philosophy, emphasizing community and employee support. The company is undergoing business and technology transformation, offering a dynamic environment for growth. The role requires bringing quantitative thinking, financial modeling, and technology together to aid in Treasury and balance sheet decisions. The analyst will apply expertise in fixed income, interest rate risk, financial modeling, and coding to challenges in Asset Liability Management (ALM), mortgage and balance sheet hedging, pricing, profitability, and portfolio risk. The position involves analyzing models, identifying improvements, and translating quantitative analysis into actionable insights. While deep knowledge in all areas is not required, a strong quantitative foundation, curiosity, and problem-solving skills are essential.

Requirements

• 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.
• 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.
• Curiosity and learning agility to quickly build knowledge across Treasury and financial concepts.
• Candidates must be residents of WA, OR, ID, AZ, TX, GA, NC, VA, CA, or SC.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• 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
• Compensation incentives are available for the hired applicant. Incentives are performance based and targets vary by role.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior