At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company.
Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence.
If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.
About the Role:
PitchBook Institutional Research Group is a provider of research services to private market investors, advisors and market participants. The group provides Investment strategy, fund performance, and industry research through a differentiated, framework-driven approach. In addition, the group provides custom research and data analysis support to subscribing clients. The Quantitative Research team sits within the broader group and builds proprietary models, indexes, and analytical tools and publishes research that explains them. The team works closely with our Product, Engineering, and Data Operations Groups to take these models and tools from prototype to production, solving our clients’ problems and empowering their workflows.
PitchBook’s Institutional Research Group is looking to hire a Quantitative Research Analyst to join our Seattle-based research function. This role sits at the intersection of research and data science: you will design and build statistical and machine learning models on top of PitchBook’s proprietary datasets, work cross-functionally to deliver the resulting tools to clients, and author research that explains the methodology and its implications for private markets. You will work end-to-end, from data exploration and model prototyping through validation, productionization, and go-to-market delivery. The research, model, and tools this team produces are utilized by many of the largest and most influential private capital investors, asset managers, investment banks, and service providers globally. Our team is analytical, technically rigorous, entrepreneurial, and focused on turning proprietary data into differentiated products and insights for our clients.
Primary Job Responsibilities:
Design, build, and validate statistical and machine learning models and methodologies on top of PitchBook’s proprietary datasets
Support the full lifecycle of analytical tools and models, partnering across teams to deliver insights to clients
Write and publish research that explains the methodology, findings, and market implications of the team’s models and analysis for a range of institutional readers
Work closely with other quant research analysts to develop new models and metrics, as well as identify unique data points to support research and tools
Serve as market experts and maintain a deep understanding of the market environment and how it impacts our clients’ workflows and needs
Manage and complete select time-sensitive requests and inquiries about the team’s models, methodologies, and research from clients, press, internal colleagues, and the general public
Support the vision and values of the company through role modeling and encouraging desired behaviors
Participate in various company initiatives and projects as requested
Basic Qualifications:
Bachelor's degree in a quantitative field; Including finance, economics, statistics, computer science, data science, or mathematics
3+ years of experience in a quantitative research, data science, or ML engineering role
Must be authorized to work in the United States without the need for visa sponsorship now or in the future
Preferred Qualifications:
Strong understanding of financial concepts such as valuation techniques (discounted cash flow modeling, comps, etc.), Internal Rate of Return, asset allocation and more
Experience in investment research working with large datasets
Demonstrated experience building, validating, and deploying statistical or machine learning models (e.g., working with pandas, scikit-learn, PyTorch, or similar libraries in Python)
Strong Excel proficiency
Strong skills in SQL and Python
Experience leveraging AI tools to improve efficiency while maintaining quality standards
Strong interest in private financial markets, and in applying quantitative technique to solve real-world investment problems
Detail-oriented/analytical mindset with exceptional critical thinking skills
Strong communication skills, both verbal and written
Experience in PitchBook Platform
Proficiency with the Microsoft Office suite including in-depth knowledge of Outlook, Word, and Excel with the ability to pick up new systems and software easily
Benefits + Compensation at PitchBook:
Physical Health
Comprehensive health benefits
Additional medical wellness incentives
STD, LTD, AD&D, and life insurance
Emotional Health
Paid sabbatical program after four years
Paid family and paternity leave
Annual educational stipend
Ability to apply for tuition reimbursement
CFA exam stipend
Robust training programs on industry and soft skills
Employee assistance program
Generous allotment of vacation days, sick days, and volunteer days
Social Health
Matching gifts program
Employee resource groups
Subsidized emergency childcare
Dependent Care FSA
Company-wide events
Employee referral bonus program
Quarterly team building events
Financial Health
401k match
Shared ownership employee stock program
Monthly transportation stipend
*Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.
Compensation
Annual base salary: $120,000-$140,000
Target annual bonus percentage: 7.5%
Working Conditions:
At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.
The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.
We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.
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