> Markdown version of [/jobs/ext/3384067-cross-asset-data-analytics-lead](https://www.wearedevelopers.com/jobs/ext/3384067-cross-asset-data-analytics-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cross-Asset Data & Analytics Lead - **Company:** Axiom - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** 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, Tools for Reporting - **Published:** September 8, 2026 - **Apply:** https://www.dice.com/job-detail/4f01242f-d53a-4f93-969a-c13274de1e53 ## About the Role * 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. ## 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.