ABF Analytics & Reporting

Bruin; Los Angeles (CA); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Bruin is seeking an ABS/securitisation analytics professional in a hybrid role (New York or Los Angeles, 3 days in office). You will join the Asset-Based Finance investment team, analyze existing deals, and develop Power BI dashboards to monitor portfolios with direct access to portfolio managers.

You will query and validate transaction data, automate reporting, and help translate data-driven insights into actionable investment decisions.

Qualifications

• ABS/securitisation experience in banking or asset management.
• Understanding of ABS transactions and collateral analysis or monitoring.
• Strong SQL skills to query databases and analyze datasets.
• Hands-on experience building dashboards in Power BI or similar BI tools.
• Excellent analytical skills with ability to communicate with investment professionals.
• Degree in a STEM or quantitative discipline.
• Interest in technology, automation and AI-assisted development.
• Python experience and familiarity with cloud data platforms is advantageous.

Responsibilities

• Work closely with portfolio managers to understand deal structures and monitoring needs.
• Query, analyze and validate transaction and collateral data to monitor credit metrics and investment performance.
• Build and maintain Power BI dashboards and reporting tools for deal-level and portfolio monitoring.
• Automate recurring analyses and improve reporting processes using SQL and BI tools.
• Identify data issues and translate findings into clear, actionable insights for investment professionals.

Skills

ABS & Securitisation

SQL

Power BI

Data analysis

Portfolio monitoring

Communication

Python

Azure

Cloud platforms

Education

STEM degree

Tools

Power BI

Azure

Microsoft Fabric

Job description

New York or Los Angeles | Hybrid – 3 days per week in office

A leading alternative investment manager is seeking an ABS / securitisation professional with strong data analytics skills to work directly with its Asset-Based Finance investment team. The role focuses on analysing existing deals, developing Power BI dashboards and improving portfolio monitoring, offering direct exposure to portfolio managers and investment decision-making.

Key Responsibilities

• Work closely with portfolio managers to understand deal structures, collateral performance and ongoing monitoring requirements.
• Query, analyse and validate transaction and collateral data to monitor credit metrics, exposures and investment performance.
• Build and maintain Power BI dashboards and reporting tools to support deal-level and portfolio monitoring.
• Automate recurring analysis and improve reporting processes using SQL, BI tools and AI-assisted development.
• Identify data issues, investigate performance trends and translate findings into clear, actionable insights for investment professionals.

Skills & Experience Required

• Experience within ABS, securitisation, structured credit or asset-based finance, gained in an investment bank, asset manager or related financial services environment.
• Understanding of ABS transactions and the data used to support trade booking, deal operations, collateral analysis or ongoing portfolio monitoring.
• Strong SQL skills, with the ability to independently query databases and analyse complex datasets.
• Hands-on experience developing dashboards in Power BI or a comparable BI platform.
• Strong analytical skills, attention to detail and the ability to communicate effectively with portfolio managers and senior investment professionals.
• A degree in a STEM or quantitative discipline, such as computer science, engineering, mathematics or statistics.
• An interest in technology, automation and AI-assisted development.
• Python and experience with cloud data platforms such as Azure or Microsoft Fabric are advantageous.

Candidates from transaction support, securitisation operations, deal analytics, desk-aligned risk or portfolio analytics are encouraged to apply; prior deal origination experience is not required.