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Oaktree Capital Management

Global asset manager specializing in alternatives

Forward Deployment Engineer

Business IntelligencePosted on Nov 10
Full-timeLos Angeles, CA, USAIn-person

About the Job

Requirements

  • Four to seven years of relevant experience in data analytics, business intelligence, financial technology, investment operations, middle office, or portfolio reporting.
  • Familiarity with building Power BI dashboards, reports, and semantic models.
  • SQL skills, including querying, validating, transforming, and analyzing data.
  • Experience using AI tools such as ChatGPT, Claude, or similar platforms to improve productivity and workflows.
  • Working knowledge of data engineering concepts, including data ingestion, transformation, and validation.
  • Ability to translate business needs into scalable technical solutions.
  • Strong analytical, quantitative, and problem-solving skills.
  • Strong attention to detail and ability to think critically and challenge current processes.
  • Strong Excel and Microsoft Office skills.
  • Strong communication skills with business and technical audiences.
  • Ability to prioritize and manage multiple competing tasks.
  • Willingness to learn new technologies, investment concepts, and operational processes.
  • Bachelor’s degree required.

Responsibilities

  • Partner with investment professionals, portfolio management teams, client reporting teams, middle office teams, project managers, and technology and data stakeholders to identify opportunities to improve reporting, analytics, and operational workflows.
  • Own solutions from initial discovery and prototype through deployment, documentation, training, and transition to long-term support teams.
  • Design, develop, and enhance Power BI reports, dashboards, semantic models, and data products for varied funds, strategies, and business use cases.
  • Build AI-forward, data-driven solutions with tools such as ChatGPT, Claude, Power BI, Microsoft Fabric, and related platforms to streamline reporting, analysis, workflow automation, and decision support.
  • Create practical technical solutions, including data models, reporting layers, workflow tools, and prototypes.
  • Perform data engineering activities as needed, including sourcing, transforming, validating, and structuring data for reporting, analytics, and downstream consumption.
  • Develop tactical firmwide solutions that provide immediate lift across funds, strategies, and business teams while balancing speed, quality, and maintainability.
  • Challenge existing processes and identify better ways to deliver accurate, timely, and scalable reporting and analytics.
  • Collaborate with global teams, including teams in India, to transition developed solutions into sustainable support models through documentation, training, and knowledge transfer.
  • Understand investment, portfolio management, cash management, client reporting, and operational needs with stakeholders, and incorporate that understanding into solution design.
  • Support reporting and analytical needs related to portfolio management, fixed income, private credit, cash management, fund reporting, fact sheets, and client reporting, as applicable.
  • Evaluate opportunities to apply AI, automation, and modern data tools to reduce manual work, improve controls, and increase transparency.
  • Communicate project status, risks, dependencies, and recommendations to technical and non-technical audiences.
  • Perform other tasks and projects as necessary.

Desired Qualifications

  • Microsoft Fabric or similar modern data platforms.
  • Understanding of investment management, portfolio management, cash management, client reporting, or middle office processes.
  • Experience in fixed income, private credit, alternative investment, or asset management.
  • Knowledge of fact sheets, portfolio analytics, or recurring client or investor reporting.
  • Financial modeling experience.
  • Knowledge of Python, DAX, Power Query, Power Automate, or workflow automation tools.
  • Knowledge of PySpark or other large-scale data processing tools.
  • Knowledge of Advent Geneva or GWI data.
  • Curiosity, initiative, eagerness to learn, a strong work ethic, collaboration, professionalism, non-linear thinking, and an AI-forward mindset.

About the Company

Oaktree Capital Management

Global asset manager specializing in alternatives

Oaktree Capital Management is a global asset manager focused on alternative investments, mainly in credit, equity, and real estate, with an emphasis on credit. It uses bottom-up, value-oriented, contrarian research to build portfolios that seek durable, risk-adjusted returns, investing in sub-investment-grade assets such as high-yield bonds, distressed debt, and senior loans for institutional clients. Its differentiate rests on a long track record in credit and distressed assets, independent operation within Brookfield Asset Management since 2019, and a reliance on proprietary research and strict risk control rather than macro timing. The firm’s goal is to deliver steady, risk-adjusted performance for public funds, insurers, sovereign wealth funds, and pension plans while growing assets under management within the Brookfield platform.

Company size
1,001-5,000
Company stage
Not listed
Total funding
$3.1B
Headquarters
Los Angeles, CA
Founded
1995

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