VP, Portfolio Management, QSG

Cross RiverFort Lee, NJ
$200,000 - $250,000Hybrid

About The Position

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.

Requirements

  • 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.
  • 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

Nice To Haves

  • Prior experience at an Originator, Asset Manager, Investment Bank, or Rating Agency preferred

Responsibilities

  • 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
  • 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
  • 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

Benefits

  • Cross River has been named one of American Banker’s Best Places to Work in Fintech year after year.
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