Cross-Asset Data & Analytics Lead
Axiom
New York, NY, United States
29 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Microsoft Excel
Business Analytics Applications
Data Analysis
Data Governance
Data Transformation
Data Visualization
Python (Programming Language)
Microsoft Office
Power BI
SQL Databases
Tableau (Software)
Data Management
+1 more
Tools for Reporting
Job description
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
- 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.
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