Cross-Asset Data & Analytics Lead Securitized Products

Axiom Path, Inc.; New York (NY); On-site; USD 140,000 - 210,000; Full time

Job summary

Axiom Path, Inc. seeks a Cross-Asset Data & Analytics Lead for securitized products in New York. The role focuses on leading data-management and analytics initiatives, building front-office tools, dashboards, and reporting for portfolio surveillance and decision-making.

You will capture and integrate portfolio, collateral, and market data, automate workflows, and establish data governance and quality standards while collaborating with stakeholders across business, technology, and risk functions.

Qualifications

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

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 used for portfolio surveillance and management decision-making.
• Improve data-capture processes and automate workflows that currently rely on manual intervention.
• Help establish reliable 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 the accuracy and efficiency of portfolio reporting.

Skills

Python

SQL

Excel

Power BI

Tableau

Data governance

Data integration

Front-office workflows

Portfolio analytics

Stakeholder communication

Tools

Power BI

Tableau

Excel

Job description

Cross-Asset Data & Analytics Lead Securitized Products

Job Description

Be Part Of A High-Performing Team

Join the securitized products and capital solutions division of a leading global financial institution with a strong presence across international banking and capital markets. This front-office team supports complex structured-finance portfolios through disciplined risk management, advanced analytics, and data-driven decision-making. The environment combines the pace and commercial focus of a capital-markets organization with the governance standards of a major global bank.

What s In Store For You

• Engagement: W2 only; no C2C or 1099 arrangements.
  
• One-year consulting engagement supporting a front-office securitized products organization.
  
• Opportunity to lead high-visibility data-management and analytics initiatives used in portfolio surveillance, valuation, and management reporting.
  
• Direct exposure to front-office stakeholders, portfolio managers, quantitative professionals, and risk teams.
  
• Onsite position in New York, New York.
  

How You Will Make An Impact

• 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 used for portfolio surveillance and management decision-making.
  
• Improve data-capture processes and automate workflows that currently rely on manual intervention.
  
• Help establish reliable 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 the accuracy and efficiency of portfolio reporting.
  

Requirements

Do You Have the Expertise to Lead in Cross-Asset Data and Analytics?

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