Cross-Asset Data & Analytics Lead Securitized Products

Axiom Path•New York City, NY
•Onsite

About The Position

The Cross-Asset Data & Analytics Lead will support a front-office securitized products organization at a leading global financial institution. This is a one-year W2 consulting engagement, onsite in New York, New York, focused on high-visibility data-management and analytics initiatives used in portfolio surveillance, valuation, and management reporting. The role works directly with front-office stakeholders, portfolio managers, quantitative professionals, risk teams, and technology partners. The position drives data and analytics initiatives across securitized products and related asset classes. It captures, organizes, and integrates portfolio, collateral, and market data; develops and maintains analytical tools, dashboards, and reporting solutions; and improves data-capture processes through workflow automation. It also supports collateral-data governance and quality controls, external market-data integration, valuations, cash-flow modeling, and portfolio analysis.

Requirements

  • Five to seven years of relevant experience in capital markets, structured finance, securitized products, portfolio analytics, or financial data management.
  • Strong understanding of front-office workflows and how market, position, collateral, and reference data support portfolio management.
  • Experience developing analytical tools, management dashboards, or portfolio-surveillance reporting.
  • Practical experience with data capture, data transformation, workflow automation, and data-quality controls.
  • Knowledge of securitized or structured products such as asset-backed securities, mortgage-backed securities, collateralized loan obligations, or related instruments.
  • Familiarity with valuation methods, cash-flow modeling, risk analytics, or fixed-income portfolio analysis.
  • Proficiency with data-analysis and visualization tools such as Python, SQL, Excel, Power BI, Tableau, or comparable technologies.
  • Ability to communicate effectively with front-office professionals, quantitative teams, risk stakeholders, and technology partners.
  • Strong analytical judgment, attention to detail, and ability to work independently in an onsite capital-markets environment.

Nice To Haves

  • Experience integrating external market-data feeds or third-party financial datasets is strongly preferred.

Responsibilities

  • Drive front-office data-management and analytics initiatives across securitized products and related asset classes.
  • Capture, organize, and integrate internal and external portfolio, collateral, and market data.
  • Develop and maintain front-office tools, dashboards, and reporting solutions for portfolio surveillance and management decision-making.
  • Improve data-capture processes and automate workflows that currently rely on manual intervention.
  • Help establish collateral-data governance, controls, definitions, and quality standards.
  • Integrate external market-data sources into front-office analytical tools and workflows.
  • Support valuations, cash-flow modeling, portfolio analysis, and other advanced analytics capabilities.
  • Partner with business, technology, risk, and quantitative stakeholders to translate analytical requirements into practical solutions.
  • Identify data-quality issues, process gaps, and opportunities to improve portfolio-reporting accuracy and efficiency.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service