Top Credit Analyst Jobs in Seattle, WA

The Staff Credit Policy Analyst leads the development and governance of credit policies for home loans, ensuring compliance and operational efficiency while collaborating with leadership and cross-functional teams.

Facilitates commercial credit underwriting and monitoring by analyzing financial statements, projections, industry data, collateral, covenant compliance, and policy requirements. Performs financial spreading, risk rating, covenant calculations, and periodic risk reviews. Partners with credit and client teams, manages workflow, identifies process issues, and escalates risks appropriately while maintaining accurate documentation and supporting the bank’s risk appetite.

Own diligence and underwriting for institutional counterparties, recommend internal credit ratings and risk-based limits, monitor portfolio exposures, analyze asset volatility/liquidity for limit-setting, negotiate industry documentation, and collaborate with cross-functional teams to resolve complex client or product issues.

Supports commercial banking lending decisions through financial analysis, credit risk assessment, loan structuring, portfolio monitoring, and credit summary preparation. The intern analyzes client performance and industry trends, identifies risks and growth opportunities, supports proposals and presentations, maintains client data, and assists with relationship management while adhering to bank policies, regulatory requirements, and risk controls.

Develops pricing and profitability strategies for personal loan portfolios. Responsibilities include building and validating pricing models, forecasting, back-testing, analyzing credit and portfolio performance, monitoring price elasticity, creating automated Tableau and data reporting solutions, and delivering executive recommendations. The role partners with business stakeholders to optimize risk-adjusted profitability, improve pricing infrastructure, and support data modernization initiatives.

Evaluate and analyze partner-banking loan purchase/sale activities, manage loan portfolio data and reporting, create dashboards and reports, resolve technical/operational issues, coordinate with IT and stakeholders, and support credit admin and ad hoc projects.

Perform pre- and post-funding quality control audits of FHA and VA mortgage loans, identify defects, fraud red flags, and trends, communicate findings to production offices and management, support special audits and regulatory responses, and maintain compliance with internal controls and agency guidelines.

Own mortgage applications from initial scenario through settlement. Assess borrowing capacity, serviceability, credit profiles, liabilities, income, documentation, lender policies, and loan structures. Select suitable lenders, prepare submissions, manage conditions and milestones, coordinate with brokers and lenders, maintain accurate CRM records, and identify credit or compliance risks. The role requires independent management of multiple complex lending files, including PAYG and self-employed scenarios.

Analyze credit and financial information for commercial clients, including financial statements, tax returns, cash flow, collateral, and repayment sources. Prepare credit approval packages, spreadsheets, summaries, and written analyses to support loan decisions for new, renewed, and existing loan requests. Ensure compliance with internal policies and applicable regulations.

Evaluate new and existing B2B customer credit profiles by reviewing credit reports, financial statements, and trade references; make complex credit decisions, negotiate terms, manage custom orders and records, monitor/report on accounts, mentor analyst team members, communicate findings to customers and internal teams, and ensure compliance with company policies.

Analyze credit policy, approval rates, vintage performance, and portfolio metrics to inform credit strategy. Monitor model/scorecard performance, run tradeoff and scenario analyses, support pricing/term decisions, and produce recurring portfolio reporting and dashboards. Collaborate with collections, fraud, finance, and tech on reporting, model validation, and decisioning platform improvements.

Analyze commercial and personal financial statements, tax returns, cash flow and collateral to prepare credit approval packages and written analyses supporting loan decisions while ensuring regulatory and policy compliance.

Review and underwrite indirect auto loan and lease applications within guidelines, communicate with credit unions and dealers, collect documentation, process and send loan packages for funding, monitor dealer productivity, support fraud detection and process improvements, and maintain SLAs across varied hours (7:00am–9:00pm MST).

Analyze consumer credit data and dealer relationships to approve/decline auto finance applications within authority limits, ensure compliance with state and federal regulations, manage dealer negotiations and documentation, meet service level targets, and support branch cooperation and telemarketing outreach.

Design, implement, and manage partner and end-customer financing solutions across North America. Interface with commercial teams, financial institutions, and corporate finance to structure deals, present financing scenarios, manage program lifecycle, monitor portfolio risk and performance, ensure compliance, and support sales through training and commercial negotiations to drive partner growth and revenue.

Lead loss mitigation, predictive collections, and loss forecasting (CECL) for consumer lending. Build data models and contact strategies, align conversational operations, manage credit loss budgets, vendor selection, and present risk insights to executive stakeholders.

Design and own loss mitigation, predictive collections, and CECL loss forecasting. Partner with Operations to implement conversational contact strategies (WhatsApp/SMS), build propensity-to-pay and recovery models, manage credit loss budgeting and capacity planning, and evaluate/onboard third-party collections vendors and software to protect capital and optimize recoveries.

Lead design and execution of loss mitigation, predictive collections, and CECL loss forecasting. Build data models and contact strategies, align conversational operations, manage credit loss budgeting, and evaluate third-party vendors to maximize recoveries and protect the balance sheet.

Lead loss mitigation, forecasting, and collections strategy for consumer lending. Build CECL-based loss forecasts, predictive propensity-to-pay models, automated contact strategies (WhatsApp/omnichannel), manage credit loss budgets, and evaluate third-party recovery vendors while presenting impacts to executive leadership.

Develop and test credit and fraud strategies using data, machine learning, and advanced analytics. Design A/B tests, analyze portfolio performance, identify trends, and partner with Data Science, Product, and Engineering to implement and validate risk decisions. Communicate findings and conduct ad-hoc analyses to optimize marketplace credit outcomes.

Lead credit analytics for the Send Now Pay Later product: build and own valuation and vintage models, manage credit policies, monitor portfolio health and NPL trends, integrate ML scorecards, and evaluate alternative data to optimize approvals and loss performance.

Lead credit analytics for the Send Now Pay Later product: build and maintain credit policies, valuation and NPV models, vintage analysis, executive reporting, model integration and testing, and alternative data integration to optimize approval rates and portfolio health.

Lead credit analytics for the Send Now Pay Later product: build and maintain credit policies, valuation and NPV models, vintage analysis, portfolio surveillance, executive reporting, model integration/testing, and alternative data exploration to optimize approval rates and manage portfolio risk.

Lead credit analytics for the Send Now Pay Later product: own portfolio health reporting, NPL trends, valuation and NPV models, vintage analysis, credit policy design, monitoring, model integration and testing, and alternative data exploration to optimize approval rates and loss performance.