0200 Ares Operations LLC - New York, NY
posted about 2 months ago
Full-time - Mid Level
New York, NY
1,001-5,000 employees
About the position
The Associate position within the Ares Quantitative Research Group (QRG) focuses on applying quantitative analytics to private markets. The role involves solving complex problems related to private market investing, conducting original research, and collaborating with investment teams to provide insights and develop new products. The position is integral to enhancing Ares' investment strategies and performance measurement capabilities across various asset classes.
Responsibilities
- Work with mathematical and statistical models to solve important problems in private market investing, including identifying return drivers and attributes of private market portfolios.
- Participate in and eventually lead original research to answer novel questions and produce investible information across private market asset classes.
- Help to evaluate clients' private market portfolios, identifying opportunities for active management in order to achieve portfolio objectives.
- Design presentations for internal investment groups, external investors, and conferences.
- Contribute to the design, development, and evaluation of proprietary software tools used in the assessment of private market investment opportunities.
- Work closely with internal and external clients and, with time, gain exposure to the institutional investor community.
Requirements
- 4+ years of post-undergraduate work or academic experience in a relevant field.
- Background in quantitative finance, statistics, or a related field.
- Strong writing, communication, and presentation skills.
- Ability to work both independently and as a productive member of dynamic teams.
- Knowledge of private market performance metrics, valuation methodologies, and frameworks.
- Familiarity with a variety of asset classes, including equity, credit, and real assets.
- Demonstrated experience using Python to solve research problems, or experience with R/Stata/MatLab and a willingness to learn Python.
- Experience using statistical models for inferential or causal modeling.
- Experience with predictive modeling techniques, including artificial intelligence and/or machine learning, is a bonus.
- Eagerness to learn and apply novel techniques from academic and practitioner literature.
Nice-to-haves
- Experience with predictive modeling techniques, including artificial intelligence and/or machine learning.
Benefits
- Comprehensive Medical/Rx, Dental and Vision plans
- 401(k) program with company match
- Flexible Savings Accounts (FSA)
- Healthcare Savings Accounts (HSA) with company contribution
- Basic and Voluntary Life Insurance
- Long-Term Disability (LTD) and Short-Term Disability (STD) insurance
- Employee Assistance Program (EAP)
- Commuter Benefits plan for parking and transit
- Access to a world-class medical advisory team
- Mental health app that includes coaching, therapy and psychiatry
- Mindfulness and wellbeing app
- Financial wellness benefit that includes access to a financial advisor
- New parent leave
- Reproductive and adoption assistance
- Emergency backup care
- Matching gift program
- Education sponsorship program
