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Have you ever wanted to be the part of an exciting fin-tech project? Or wanted to develop a novel way of forecasting risk and performance for innovative financial products? Bella Private Markets, a consulting firm associated with Dr. Josh Lerner of Harvard Business School, is seeking a Data Analyst to help with projects just like these.
Bella Private Markets focuses exclusively on providing solutions to the challenges facing the private capital industry. Bella combines rigorous academic approaches with real world industry expertise to provide actionable insights for our clients. We focus on complex, customized projects that require thorough analysis, whether quantitative or qualitative in nature, to help our clients improve performance, optimize operations, and chart winning strategies for the future.
Job Description: Data Analyst
Data Analysts (DAs) engage in a broad range of research related to private equity, venture capital, and innovation. DAs work closely with Bella colleagues to assist them with investment performance benchmarking and analytics, economic research, and government policy reports requiring empirical evaluation. Previous projects on which DAs collaborated include: performance decompositions and attribution analyses of private equity firms; an economic analysis of the impact of a change in patent law on small businesses; and identification of trends in venture capital financing for various geographies.
Bella offers analysts the opportunity to explore in-depth the notoriously opaque private equity industry. Beyond working with Dr. Josh Lerner, named one of the most influential people in private equity, analysts also work with private equity investors themselves.
Boston, MA (hybrid work schedule)
Basic qualifications for the analyst position include:
- An undergraduate degree in Statistics, Applied Mathematics, or similarly quantitative fields with a minimum GPA of 3.5.
- Two years of related work experience.
- A Master’s degree in Statistics, Applied Mathematics, or similar can substitute for the required work experience.
- Internships, research roles, or similar non-full-time experiences involving data science projects will be considered toward this requirement.
- Proficiency with R or Python.
- The ability to prepare written methodologies describing analytical projects.
Ideal candidates for the Bella Private Markets analyst position have the following skills and characteristics:
DAs should be comfortable with data. DAs navigate academic journals and private equity databases to find specific articles and data of interest. They are also involved in quantitative modeling projects. DAs should have experience using R or Python at a minimum and be able to demonstrate an ability to process data, execute analyses, and derive clear and presentable insights from data.
Bella projects are open-ended in nature and often are completed without specific guidelines. DAs should therefore be prepared to help scope projects, develop methodologies, and plan analyses.
DAs synthesize large amounts of information to offer a thorough overview of a range of topics. The value-add on many projects stems from the use of a variety of sources to present a clear picture—from general context to fine detail—on a given issue. Bella launches DAs into the world of private equity and will often ask DAs to work on projects on which they have minimal prior knowledge.
DAs should be team players. DAs must enjoy working on projects in a collaborative environment and enjoy learning from others.
Notes: This job requires US work authorization. Proof of COVID-19 vaccination required. If hired, candidates will be required to pass a background check.
- Cover letter.
- Academic transcript (undergraduate and graduate, if applicable).
- Coding sample (ideally, showing a basic analysis in R or Stata).