ABS Analytics Engineer (Hybrid, Securitisation)

Bruin; Los Angeles (CA); Hybrid; USD 120,000 - 190,000; Full time

Job summary

Bruin is seeking a technically strong ABS/securitisation professional to partner with its Asset-Based Finance investment team. The role develops data and analytical solutions informing underwriting and monitoring, with the position based in Manhattan/LA, 3 days per week.

You will work with investment professionals to understand transactions, build dashboards, and ensure robust analytics across collateral performance and risk metrics.

Qualifications

• 4–6+ years’ experience in ABS, securitisation, structured finance or asset-based finance.
• Strong understanding of securitised products and collateral analysis.
• Advanced analytics and programming in SQL and Python.
• Experience with Power BI or Tableau.
• Exposure to cloud data technologies (Fabric, Azure, Databricks, Spark).

Responsibilities

• Work closely with investment professionals to understand transactions, collateral and analytical questions driving decisions.
• Develop dashboards and analytical tools showing collateral performance, credit trends, exposures and risks.
• Use SQL, Python and BI tools to manipulate, analyse and visualise data and build repeatable solutions.
• Support scalable data infrastructure and automated workflows across cloud environments.
• Translate data into actionable insights while ensuring accuracy, governance and model integrity.

Skills

ABS & securitisation

SQL

Python

Power BI

Tableau

Data analysis

Cloud data tech

Tools

Microsoft Fabric

Azure

Databricks

Spark

Job description

Bruin is seeking a technically strong ABS/securitisation professional to partner with its Asset-Based Finance investment team. The role develops data and analytical solutions informing underwriting and monitoring, with the position based in Manhattan/LA, 3 days per week.

You will work with investment professionals to understand transactions, build dashboards, and ensure robust analytics across collateral performance and risk metrics.