Director - Credit Risk Analytics

TimePayment Corp • US,

1d • $140,000 - $180,000 • Remote

About The Position

TimePayment is seeking a Director of Credit Risk Analytics to help build and scale our credit risk analytics capabilities. Reporting directly to the Chief Credit Officer, this role will be a senior, hands-on analytical position responsible for translating portfolio data into actionable credit, pricing, product and risk decisions. The Director will play a central role in developing a more systematic and data-driven approach to managing credit risk and profitability. Key areas of responsibility will include portfolio and vintage analytics, credit scorecard monitoring and optimization, CECL and reserve analytics, vendor and product performance, pricing and profitability, and evaluation of credit policies and manual underwriting strategies. This is not primarily a people-management or individual credit adjudication role. The successful candidate will be comfortable working directly with large datasets, building analytical frameworks and models, identifying insights, and working with senior leadership to translate those insights into business decisions. The Director will adopt TimePayment’s Vision (“To expand access to business growth by making financing simple, fast & embedded in every buying decision” ) and Mission (“We provide fast & flexible equipment financing that empowers small businesses and supports vendor grow”) While modeling our core values: Customer Centricity, Innovation & Technology, Team & Collaboration, Empowering Small Businesses.

Requirements

• 7+ years of experience in credit risk, lending analytics, portfolio analytics, decision science or a related field.
• Strong understanding of consumer, commercial or equipment-finance credit performance and lending economics.
• Demonstrated experience working directly with large, granular credit datasets.
• Strong SQL skills and advanced analytical capabilities using Excel and/or Python.
• Experience with vintage analysis, delinquency/default performance, loss forecasting and portfolio segmentation.
• Ability to independently take an ambiguous business question from data extraction through analysis, interpretation and recommendation.
• Strong written and verbal communication skills, with an ability to explain complex analytical concepts to business and executive audiences.
• Highly hands-on working style; comfortable personally building analyses and models rather than primarily managing others.

Nice To Haves

• Experience with small-business lending, equipment finance, leasing, fintech or specialty finance.
• Experience developing or monitoring credit scorecards and automated decision strategies.
• Familiarity with CECL, expected-credit-loss methodologies or reserve modeling.
• Experience with PD, EAD and LGD frameworks.
• Experience evaluating risk-adjusted pricing and profitability.
• Familiarity with bureau data, commercial credit data and third-party credit scores/models.
• Experience building controlled analytical processes that support financial reporting, audit or model governance.

Responsibilities

• Develop and maintain analytical frameworks to evaluate portfolio performance across credit grades, products, vendors, channels, industries, ticket sizes and vintages.
• Monitor delinquency, defaults, losses, recoveries and other leading indicators of credit performance.
• Identify emerging trends, concentrations and areas of portfolio deterioration or opportunity.
• Develop recurring portfolio reporting that moves the organization from ad hoc analysis toward systematic risk monitoring.
• Perform deep-dive analyses to understand drivers of portfolio performance and recommend appropriate actions.
• Support the development, redevelopment and ongoing monitoring of credit scorecards and decision strategies.
• Evaluate scorecard performance, including rank ordering, calibration, population stability and performance by score band.
• Analyze approval, conversion and booking funnels to identify opportunities to expand or modify the credit box while maintaining appropriate economics.
• Evaluate credit-policy rules, cutoffs and exceptions to determine whether they continue to add value.
• Develop champion/challenger analyses and other frameworks for testing potential scorecard and policy changes.
• Establish repeatable scorecard-monitoring and governance processes.
• Analyze manually reviewed applications and overrides to determine where human intervention improves credit decisions and where decisions could be automated.
• Develop reporting around manual-review reasons, approval outcomes, subsequent credit performance and incremental profitability.
• Identify opportunities to simplify underwriting processes, improve turnaround times and reduce unnecessary manual intervention.
• Evaluate risk-adjusted economics across products, credit grades, vendors and customer segments.
• Partner with leadership to evaluate the interaction among pricing, yield, approval rates, expected losses and overall profitability.
• Support the evolution from managing primarily to origination volume or credit losses toward maximizing risk-adjusted profit dollars.
• Analyze existing programs and products to identify opportunities for modification, expansion or repricing.
• Support development and evaluation of new financing products and credit strategies.
• Conduct targeted analyses on strategic questions such as Same-as-Cash economics, vendor profitability, credit-grade performance and conversion opportunities.
• Develop analytical frameworks for measuring vendor performance beyond origination volume.
• Evaluate approval rates, conversion, credit mix, pricing, losses and profitability by vendor and channel.
• Identify vendors or segments where low conversion may represent an opportunity for changes in credit policy, pricing or process.
• Develop recurring vendor risk and profitability monitoring to support commercial and risk-management decisions.
• Support the continued development and enhancement of TimePayment's CECL methodology and reserve process.
• Own significant portions of the underlying analytical production, including portfolio segmentation, PD/EAD/LGD analysis, vintage performance, loss-emergence analysis and model back-testing.
• Develop repeatable and controlled processes for quarterly reserve production.
• Perform data-quality checks, reconciliations and analytical validation of model outputs.
• Maintain clear documentation of methodologies, assumptions, model changes and results.
• Support management, auditor and investor review of reserve methodologies and portfolio performance.
• Help develop and maintain a reliable lease-level analytical dataset that serves as a common foundation for credit, CECL, pricing, vendor and product analytics.
• Improve the repeatability and efficiency of analytical processes currently dependent on manual analysis.
• Partner with technology and data resources to improve data availability, definitions and quality.
• Create tools and reporting that allow recurring questions to be answered efficiently without rebuilding analyses from scratch.
• Establish appropriate controls, documentation and version management around critical analytical processes.

Benefits

• TimePayment is an equal opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected federal, state/province or local status unrelated to the performance of the work involved.

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed