Hiring: Senior Associate/AVP, Risk & Reporting Company: Oaktree Location: Los Angeles, CA Job Posted Time: 2026-09-10 14:45:04 Target Skills & Keywords : AWS, Azure, BigQuery, Data Lake, Data Pipeline, Data Warehouse, Databricks, EMR, Embedded Systems, GCP, Portfolio Management, PySpark, Python, R, Redshift, SQL, Snowflake, Spark About the job Experience: •8+ years of experience in data analytics and BI development on cloud platforms, ideally within asset management, financial services, or another data-rich domain with comparable rigor Required Skills: •Build, extend, and maintain the ABF deal monitoring dashboards within the established Power BI architecture, covering collateral performance, credit metrics, and exposure analysis at the deal level •Implement and evolve these dashboards in Microsoft Fabric using a template-based, reusable approach (common data models, common measures, standardized layouts, and consistent navigation), so that new deals and monitoring views can be added without rebuilding from scratch •Partner with the ABF deal team in working sessions and embedded engagements (including borrower calls and vendor data validation where relevant) to understand the monitoring decisions the dashboards need to support, validate outputs against business needs, and iterate based on live feedback •Bring strong judgment on BI design – filter placement, navigation, page focus, drill-through structure, dynamic titles, footnotes, and Oaktree-branded visual conventions – so that consistency across the dashboards is preserved as they scale •Write efficient SQL queries, DAX measures, and Power Query (M) scripts to support the deal monitoring models, ad-hoc analyses, and recurring deliverables •Develop PySpark notebooks within Microsoft Fabric and Azure environments for data transformation, automation, and large-scale data processing •Build and maintain Fabric dataflows, pipelines, and Azure-based data engineering workflows (Azure Data Factory, Synapse, Data Lake Storage) to support scalable, secure, and high-performing data solutions •Design and enforce semantic model security, including Row-Level Security (RLS) and Object-Level Security (OLS), to protect sensitive deal and investor data Qualifications: •4 to 8+ years of experience in data analytics and BI development on cloud platforms, ideally within asset management, financial services, or another data-rich domain with comparable rigor •Exposure to alternative investments required; asset-based finance or structured credit experience strongly preferred •Proficiency with a modern cloud data platform for building data pipelines, dataflows, lakehouse, and data warehouse solutions (e.g., Microsoft Fabric, Databricks, Snowflake, or the AWS/GCP equivalents) •Strong enterprise BI development skills, including semantic/data modeling, a calculation language, query/transformation tooling, and paginated reporting (Power BI with DAX and Power Query (M) is our environment; comparable experience in Tableau, Qlik, or Looker will be considered) •Proficiency in Python for data analysis, automation, and notebook-based development •Applied hands-on capability in a distributed data-processing framework such as (Py)Spark, in any cloud Spark environment (e.g., Microsoft Fabric, Databricks, Synapse Spark, or AWS EMR/Glue) •Solid functional working knowledge of a major cloud data ecosystem and its orchestration, storage, and DevOps/CI-CD services (e.g., the Azure stack – Data Factory, Synapse, Data Lake Storage, DevOps – or the equivalent AWS or GCP services) •Understanding of data governance, reporting standards, and compliance frameworks •Strong opinions on how to build BI and analytical solutions, with the judgment to flag concerns about scalability, maintainability, or data accuracy and the collaborative disposition to work through them with the strategy lead •Excellent communication and presentation skills, with the ability to explain technical design choices and trade-offs to senior stakeholders and deal-team partners Compensation: •$130,000 - $155,000 / year •Competitive benefits and rewards package Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!