Quantitative Financial Analyst

Overview

This role supports smarter Treasury and balance sheet decision-making by applying quantitative thinking, financial modeling, and technology.

The position involves working on complex challenges across Asset Liability Management (ALM), mortgage and balance sheet hedging, pricing, profitability, and portfolio risk.

Responsibilities

• Apply financial modeling and quantitative analysis to help Treasury and business leaders understand interest rate risk, profitability, portfolio behavior, and balance sheet opportunities.
• Support ALM and risk analytics, including NII and Economic Value/EVE sensitivity, duration and convexity, scenario and stress testing, deposit behavior, loan prepayments, and other balance sheet risk measures.
• Understand existing Treasury models, challenge assumptions, recommend improvements, maintain model parameters, and extend analytical capabilities as business needs evolve.
• Develop new quantitative models and analytical applications when new questions arise, translating ambiguous business problems into structured analytical solutions.
• Support the transition of pricing models to Snowflake and help build attribution and sensitivity analytics supporting offset center P&L and profitability insights.
• Apply fixed income valuation, derivatives, duration, convexity, and risk-management concepts to mortgage portfolio and broader balance sheet hedging activities.
• Use Python and Excel/VBA to automate processes, improve analytical workflows, and create more efficient and scalable solutions.
• Collaborate with Treasury, Enterprise Risk Management, Credit Risk, Product, and portfolio leaders to explain models, support validation, and help establish meaningful guardrails and guidelines.
• Maintain model documentation, assumptions, and parameters while navigating appropriate model governance and validation processes.

Compensation & Benefits

Pay Range

• Target Pay Range: $106,600.00–$130,100.00 annually
• Full Pay Range: $82,900.00–$154,000.00 annually

Compensation decisions are determined using factors such as relevant job-related skills, experience, and education or training. If an offer is made, individual qualifications will be considered.

In addition to salary, compensation incentives are available for the hired applicant. Incentives are performance based and targets vary by role.

Benefits

• 401(k) Company Match (up to 3%)
• 4% annual contribution to your 401(k)
• Medical, Dental, and Vision (family contributions as well)
• PTO Program + Exchange Program
• Tuition Reimbursement Program
• Volunteer time off program + donation match

Location & Work Arrangement

• Candidates must be residents of WA, OR, ID, AZ, TX, GA, NC, VA, CA, or SC.
• If located in Washington state and within a reasonable driving distance from Tukwila, the expectation is to come into HQ on Tuesdays & Wednesdays.
• If you live outside commute distance from TFC and in any of the approved remote work locations, the role will be remote.

Qualifications

Minimum Qualifications

• 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, including 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.

Preferred Qualifications

• 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.

Equal Employment Opportunity

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.