Senior Associate, Forward Deployment Engineer

Oaktree; Los Angeles (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Oaktree is seeking a Senior Associate to join the Forward Deployment Engineering team to deliver AI-forward, data-driven solutions enhancing reporting, analytics, and operational workflows across investment, portfolio management, and client reporting. The role partners with investment professionals, project managers, technology, and data teams to build scalable, maintainable tools.

You will design and implement Power BI reports, semantic models, and data products for diverse funds and strategies

Qualifications

• 4-7 years of relevant experience in data analytics, BI, financial technology, investment operations, or middle office.
• Familiarity with building Power BI dashboards, reports and semantic models.
• SQL skills including querying, validating, transforming and analyzing data.
• Experience with AI tools such as ChatGPT or Claude to improve productivity.
• Working knowledge of data engineering concepts (ingestion, transformation, validation).
• Understanding of investment management and portfolio reporting is a plus.

Responsibilities

• Partner with investment professionals and analytics teams to identify opportunities to improve reporting, analytics and workflows.
• Own solutions from discovery through deployment, documentation, training and transition to support teams.
• Design, develop and enhance Power BI reports and data models for multiple funds and strategies.
• Build AI-forward data-driven solutions to streamline reporting and decision support.
• Perform data sourcing, transformation and validation for reporting and downstream consumption.
• Collaborate with global teams to transition solutions into sustainable support models.

Skills

Power BI

SQL

Excel

AI tools (ChatGPT/Claude)

Python

DAX / Power Query

Data engineering

Investment mgmt knowledge

Tools

Microsoft Fabric

PySpark

Job description

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.

For additional information, please visit Oaktree's website at http://www.oaktreecapital.com/

Responsibilities

The Senior Associate will join Oaktree's Forward Deployment Engineering team and play a key role in delivering AI-forward, data-driven solutions that improve the way investment, portfolio management, reporting and operational teams access, analyze and act on information. This individual will partner closely with investment professionals, project managers, technology, data teams and global support teams to build tactical solutions that provide immediate business lift, modernize reporting processes, and help design scalable tools that can be maintained and enhanced over time.

Responsibilities include:

• 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 that support a range of funds, strategies and business use cases.
• Build AI-forward, data-driven solutions using 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 a variety of 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, including documentation, training and knowledge transfer.
• Work with stakeholders to understand investment, portfolio management, cash management, client reporting and operational needs, 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 clearly to both technical and non-technical audiences.
• Perform various other tasks and projects as necessary.

Qualifications

• 4-7 years of relevant experience in data analytics, business intelligence, financial technology, investment operations, middle office, portfolio reporting.
• Familiarity with building Power BI dashboards, reports and semantic models.
• SQL skills, including experience querying, validating, transforming and analyzing data.
• Microsoft Fabric or similar modern data platforms preferred.
• 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.
• Understanding of investment management, portfolio management, cash management, client reporting or middle office processes preferred.
• Fixed income, private credit, alternative investment or asset management experience is a plus.
• Knowledge with fact sheets, portfolio analytics or recurring client/investor reporting is a plus.
• Financial modeling experience is a plus.
• Strong analytical, quantitative and problem-solving skills.
• Excellent attention to detail.
• Ability to think critically and challenge current processes.
• Strong Excel and Microsoft Office skills.
• Knowledge with Python, DAX, Power Query, Power Automate or workflow automation tools is a plus.
• Knowledge with PySpark or other large-scale data processing tools is a p