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Cross River Bank

API-driven banking platform for fintechs

Quantitative Analyst - Quantitative Strategies Group

Asset ManagementConfirmed live in the last 24 hours
Full-timeFort Lee, NJ, USA$150k - $200kIn-person

About the Job

Requirements

  • A master's degree in financial engineering, mathematics, statistics, computer science, or another quantitative or analytical field is required.
  • At least three years of experience in structured finance, securitization, or broader fixed income markets is required.
  • Proficiency in advanced Excel and programming is required; hands-on experience in Python and SQL is critical.
  • A strong understanding of cashflow modeling and securitization mechanics, including deal waterfalls, tranche structures, and collateral performance analysis, is preferred.
  • Direct exposure to asset-backed securities products is strongly preferred.
  • Ability to communicate and present complex analytics as clear, persuasive narratives for internal stakeholders and external counterparties.
  • Ability to work in a fast-paced, deal-driven environment with competing priorities and tight turnaround times.
  • Strong organizational skills and a proactive, ownership-driven mindset.

Responsibilities

  • Work with the Structured Products Group and Principal Finance Group to provide quantitative and analytical insights across investment opportunities, asset-backed securities securitizations, and structured credit transactions from deal inception through execution.
  • Support capital commitment objectives through systematic underwriting of investment opportunities, delivering refined analyses, base and stress assumptions, and cashflow models that capture potential trades' risk and reward dynamics.
  • Support investment advisory mandates by producing market-ready analytics, comparative deal analyses, and performance benchmarks for client and counterparty value propositions.
  • Develop and maintain analytical frameworks to evaluate collateral pools, form views on pricing assumptions such as prepayment speeds and default or loss curves, and inform deal economics and structuring decisions.
  • Translate quantitative outputs into clear and concise narratives and presentation materials for pitch efforts, client discussions, and internal committees.
  • Partner with the team to identify, prioritize, and integrate high-impact artificial intelligence use cases across workflows, including exploring and implementing artificial-intelligence-driven collateral analysis approaches using large language models and Python-based tools.
  • Partner with other functions within the Capital Solutions Group and across the bank to ensure consistency in assumptions, methodologies, and market intelligence.

Desired Qualifications

  • Builder's mentality, including actively improving team workflows by introducing new technologies, frameworks, and artificial-intelligence-driven efficiencies.

About the Company

Cross River Bank

API-driven banking platform for fintechs

Cross River provides Banking as a Platform by combining traditional banking with an API-driven infrastructure called the Cross River Operating System. Its platform delivers core banking services—ACH, wire transfers, card disbursements, and money transfers—via APIs for FinTechs and small businesses to build their own products. It earns fees from using the platform, including transaction, loan origination, and compliance services, with strict focus on regulatory compliance and risk management. Its goal is to help fintechs and small enterprises deploy, scale, and manage financial services securely and efficiently.

Company size
1,001-5,000
Company stage
Post IPO Equity
Headquarters
Fort Lee, NJ
Founded
2008

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