Risk Management

Headquartered in San Diego, Mulligan Funding serves as a leading provider of working capital (Up to $5M) to the small and medium‑size businesses that fuel our country. Since 2008, we have prided ourselves on our collaborative, innovative, and customer‑focused approach. Enjoying a period of unprecedented growth, driven by the combination of cutting‑edge technology, human touch, and unwavering integrity, we are looking to add to our people‑first culture, with highly motivated and results‑oriented professionals, to push the limits of what’s possible while creating value for all of our partners.

The Vice President of Credit Risk & Customer Analytics is responsible for leading the strategic direction of Mulligan Funding’s credit risk function, with a strong emphasis on data‑driven portfolio oversight and customer analytics. This role oversees a team of data scientists, risk analysts, and business analysts and plays a key role in shaping credit strategy through modeling, forecasting, and risk assessment.

Reporting to the Chief Credit Officer, this position also serves as a thought partner on customer segmentation and performance insights, with the potential to inform direct marketing and customer engagement strategies over time. The role demands sharp analytical acumen, strong business judgment, and cross‑functional leadership to ensure the company maintains a healthy, scalable portfolio while continuously refining credit policy and strategy.

• Drive the design, implementation, and refinement of the company’s credit strategy across originations, renewals, and servicing portfolios, aligning risk posture with growth objectives.
• Oversee the full lifecycle of credit and risk models, including development, validation, documentation, monitoring, and compliance, ensuring alignment with internal policies and regulatory expectations.
• Lead portfolio analytics to detect early risk indicators, monitor key performance trends, and surface actionable insights that inform business decisions and optimize risk‑adjusted returns.
• Direct forecasting and stress testing efforts, developing forward‑looking models for delinquency, losses, and exposure under various economic scenarios. Present findings and recommendations to senior leadership and risk committees.
• Analyze customer behavior and performance across the lifecycle to identify patterns that inform retention, cross‑sell opportunities, and, over time, targeted marketing efforts.
• Collaborate with Underwriting and Credit teams to shape and evolve decisioning frameworks, exposure limits, approval logic, and risk thresholds, supported by quantitative analysis and model outputs.
• Translate complex model findings and portfolio analytics into concise, executive‑ready presentations for internal stakeholders, external auditors, and regulatory bodies.
• Lead, mentor, and grow a high‑performing team of data scientists, analysts, and risk professionals, fostering a collaborative, agile, and outcomes‑focused team culture.
• Partner with Product, Finance, Technology, and Marketing to integrate credit risk insights into business tools, pricing strategies, growth forecasts, and new product initiatives.
• Influence the development and enhancement of data infrastructure and tooling to support advanced analytics, real‑time decisioning, and scalable model deployment.
• Support and strengthen the organization’s risk‑aware culture by promoting transparency, ownership, and alignment on credit performance and decisioning discipline.
• Participate in high‑impact initiatives including pricing optimization, capital planning, new product design, and vendor selection for analytics and decisioning platforms.
• Prepare and deliver recurring reports, deep dives, and strategic recommendations to the Chief Credit Officer and executive leadership, enabling informed decision‑making at the highest levels.
• Perform other duties as assigned.

• 10 or more years of experience in credit risk, portfolio analytics, or a related function within financial services, including at least 5 years in a people leadership role
• A master’s degree in a quantitative field such as Statistics, Economics, Finance, or Data Science
• Deep…