VP, Portfolio Management, QSG

Who We Are

Cross River builds the infrastructure behind the world's most innovative financial products. Our technology and capital solutions power payments, cards, lending, and digital asset capabilities that move money safely, instantly, and inclusively — trusted by leading fintechs, enterprises, and disruptors across the globe.

Our mission is simple: to build the financial infrastructure that expands access and opportunity for all. Guided by a culture of collaboration, curiosity, and purpose, Cross River has been named one of American Banker's Best Places to Work in Fintech year after year. Whether you're designing code, solving regulatory puzzles, or developing strategy, you'll join a team where innovation and integrity drive everything we do — and where your work helps shape the future of finance.

What We're Looking For

The Quantitative Strategies Group (QSG) at Cross River is seeking a Vice President, Portfolio Management to join its growing team. The team sits within the Capital Solutions Group (CSG) and serves as a centralized function for investment intelligence and quantitative decision making across investment, structuring, and portfolio management initiatives.

We are seeking a quantitatively driven Portfolio Management professional to join our group. This role sits at the intersection of credit analytics, financial modeling, and portfolio surveillance - ensuring that our positions are rigorously tracked, appropriately reserved, and performing in line with original underwriting expectations. The ideal candidate brings hands-on experience with cash flow modeling, ABS structures, and a strong technical toolkit to support data-driven portfolio insights. The individual will also serve as a senior resource within the group, mentoring junior team members, instilling best practices around modeling/surveillance/structured credit analysis, and helping codify institutional knowledge into repeatable, scalable processes.

Responsibilities:

Credit Evaluation

• Develop and maintain analytical and statistical frameworks to evaluate collateral pools, form views on key pricing assumptions (e.g., prepayment speeds, default/loss curves). Maintain and update assumption sets based on realized performance
• Work hands-on with large loan-level datasets using Python and SQL to build analytical frameworks that evaluate collateral performance, identify risk concentrations, and inform assumption-setting across the portfolio
• Build and maintain detailed cash flow models to project expected returns, losses, and structural outcomes under base, upside, and stress scenarios
• Evaluate deal structures, waterfall mechanics, triggers, credit enhancement levels, and subordination to assess current and projected credit risk

Valuation Allowance

• Serve as the team's primary liaison to Valuation/Risk/Accounting teams during the quarterly valuation allowance process
• Work with valuation teams to ensure appropriate quarterly reserving, incorporating the latest asset performance into existing structures
• Ensure that latest collateral performance data, updated cash flow projections, and revised assumptions are accurately reflected in valuation models and reserve estimates
• Partner with other functions within CSG and across the bank to ensure consistency in assumptions, methodologies, and market intelligence used across the group

Investment Reporting

• Work closely with CSG teams to provide quantitative and analytical insights across existing investment positions and structured credit transactions
• Partner with technology and data teams to automate reporting pipelines and workflows, reducing manual processes and improving turnaround times
• Identify positions where realized performance is meaningfully diverging from underwriting and escalate with actionable context

Qualifications:

• Bachelor's degree or higher in finance, economics, math, computer science or any related quantitative/analytical field
• 5+ years of direct experience in Structured Finance (ABS/MBS), Securitizations, or Private Credit markets is required. Prior experience at an Originator, Asset Manager, Investment Bank, or Rating Agency preferred
• Proficiency in advanced excel & programming is required. Hands-on experience in Python & SQL is critical for success in this role
• Deep expertise in building and maintaining structured credit cash flow models - waterfalls, triggers, tranche structures, and collateral analysis
• Ability to build and automate analytical workflows, data processing pipelines, model runs, and reporting tools using Python
• Foundational understanding of statistical methods (logistic/linear regression, classification, machine learning) to enhance collateral analysis and inform forward-looking risk assessments
• Excellent communication and presentation skills - ability to distill complex analytics into clear, persuasive narratives for both internal stakeholders and external counterparties
• Builder's mentality - someone who doesn't just use existing tools but actively seeks to improve how the team works by introducing new technologies, frameworks, and AI-driven efficiencies
• Ability to thrive in a fast-paced, deal-driven environment with competing priorities and tight turnaround times
• Detail-oriented with strong organizational skills and a proactive, ownership-driven mindset

#LI-JJ1 #LI-Hybrid #LI-Onsite

Salary Range: $200,000.00 - $250,000.00