Over the last 20 years, Ares’ success has been driven by our people and our culture. Today, our team is guided by our core values – Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy – and our purpose to be a catalyst for shared prosperity and a better future. Through our recruitment, career development and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry.

Job Description

Ares Management is currently seeking an experienced Vice President to join the Data and Performance Reporting Group under Ares Private Equity Finance team. 

The Vice President will work closely with the global F&A team in partnering across our enterprise with the Performance team, senior investment professionals, Investor Relations team, information technology resources and developers. The position will be focused specifically on performance reporting, data analytics and related database and system development. Specific responsibilities include the creation, maintenance, and enhancement of data tracking and reporting procedures, the development and troubleshooting of the Private Equity and Opportunistic Credit’s data infrastructure, and the creation of dashboards to enhance the reporting of investment-level and fund-level performance, supporting the investment decisions and marketing efforts, and enhance overall data analytics capabilities.

The candidate must have a background in data management or analytics and have a working knowledge of financial principles and key investment metrics such as TWR, IRR and MOIC. Some program management experience is preferred. This role will also require a dynamic, adaptive, and agile hands-on professional who will be capable of ensuring optimal performance and processes in a fast-paced rapidly growing environment.

Primary functions and essential responsibilities

Specific responsibilities include, but are not limited to:

• Data Integrity and Analysis:
  • Ensure seamless data flow from the accounting system to database and dashboards.
  • Identify data quality issues, evaluate how to process new transaction types and support data governance initiatives.
  • Document data governance processes and provide training to F&A team and new hires.

• Data Engineering:
  • Build and optimize data pipelines and ETL processes for high-quality data integration.
  • Collaborate with data engineering teams to enhance data infrastructure and tracking platforms.
  • Actively engaged in data testing and systemization.
  • Develop innovative solutions to increase efficiency and enhance reporting and analytical capabilities of the team.

• Dashboard Maintenance and Development:
  • Design, develop, and maintain intuitive dashboards and reports using data visualization tools like Power BI.
  • Work with F&A team on regular dashboard reporting and troubleshot issues as needed.
  • Work closely with F&A and deal team on dashboard development and ensure reports are user-friendly, accurate, and aligned with business needs.

• Performance Measurement and Analysis
  • Calculate, monitor, evaluate, and analyze investment, sector, portfolio level and composite returns (TWR, IRR, Multiples, etc.)
  • Manage and analyze portfolio and investment return data on various bases (levered, unlevered, gross, net, actual and projected).
  • Research returns that are outside of acceptable ranges and ensure adherence to internal guidelines. Communicate results with internal groups.
  • Drive consistency and standardization on performance metrics calculations across the respective business strategies within PE and Opportunistic Credit.

• Collaboration:
  • Contribute expertise to team and organizational efforts in relation to systems and internal processes.
  • Work directly with F&A and deal team for the collection and development of deal level and fund level models and returns.
  • Participate in other projects as requested by management.

Qualifications

Experience Required:  

• Bachelor’s degree in Finance, Accounting, Engineering, Computer Science, or a related field.
• Minimum of 7-10 years of related experience in financial accounting, performance, data analytics, or data science.
• Strong knowledge of data analytics, statistics, and data storytelling.
• Proficiency in analyze financial data from general ledgers and financial statements.
• Technically proficient with all MS Office applications like Excel (Macro), Visio, Powe