5-7 years of experience in capital markets or structured finance
Strong understanding of front-office workflows and data support
Experience in developing analytical tools and dashboards
Practical knowledge of data capture and workflow automation
Familiarity with securitized products like ABS and MBS
Proficiency in data-analysis tools such as Python and SQL
Ability to communicate effectively with diverse stakeholders
Responsibilities
Drive data-management and analytics initiatives for securitized products
Capture and integrate portfolio and market data
Develop and maintain tools and dashboards for portfolio management
Automate workflows to improve data-capture processes
Establish collateral-data governance and quality standards
Integrate external market data into analytical tools
Support advanced analytics capabilities like cash-flow modeling
Benefits
Collaborative work environment with cross-functional teams
Opportunities for professional development and skill enhancement
Access to advanced analytical tools and technologies
Engagement in impactful data-driven decision-making
Potential for career advancement in capital markets
Full Job Description
Job Description 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.
