Assistant Vice President - Risk & Reporting

Our Company Oaktree is a leader among global investment managers specializing in alternative investments, with more than $220 billion in assets under management. The firm emphasizes an opportunistic, value-oriented, and risk-controlled approach to investments in credit, equity, and real estate. The firm has more than 1,400 employees and offices in more than 25 cities worldwide. We are committed to cultivating an environment that is collaborative, curious, inclusive and honors diversity of thought. Providing training and career development opportunities and emphasizing strong support for our local communities through philanthropic initiatives are essential to our culture. The Risk & Reporting (R&R) team is building a technology-enabled performance analytics, investor reporting, and reporting-automation infrastructure across Oaktree's closed-end, open-end and evergreen strategies. The team supports nearly 1,000 unique recurring and custom reports and partners across investment teams, Investor Relations / Client Services, Finance / Accounting, Valuation, Data Management, Technology, Legal / Compliance, and enterprise solution groups to improve data quality, reporting speed, and production controls. For additional information, please visit Oaktree’s website at http://www.oaktreecapital.com/ Responsibilities As an AVP technical resource for our team, you will participate in data engineering, automation, dashboards for enterprise reporting workflows in Alternative Investment Strategies. Responsibilities include: Data Engineering & Architecture •Design and maintain cloud-ready data pipelines and dimensional models using SQL, Python, Power BI, Microsoft Fabric / Azure, and, where relevant, AWS services such as S3, Glue, Lambda, Redshift, Snowflake or Aurora; •Implement secure, automated ingestion from Oaktree systems, MDM, data warehouse sources, FTP / email feeds, vendor files, Salesforce, servicer or administrator reports, and governed reporting datasets; •Build performant ELT / ETL workflows for investment, portfolio, cash activity, audit log, exception, exposure, attribution, and reporting-control data; •Develop reusable SQL and Python utilities, including advanced SQL optimization, window functions, pandas / PySpark data engineering, REST / GraphQL integration, validation checks, and test automation. BI, Automation & Controls •Create institutional Power BI dashboards, semantic models, paginated reports, DAX measures, Power Query / M transformations, row-level security, and deployment pipeline assets; •Troubleshoot refresh failures, gateway / OneLake dataset issues, data type conversion errors, transformation exceptions, and production publishing issues; •Apply Git, CI/CD, release management, logging, documentation, and data-quality SLAs to make recurring R&R outputs auditable, repeatable, and supportable; •Use infrastructure-as-code concepts such as CloudFormation or Terraform, and orchestration patterns such as Airflow, Step Functions or…