Quantitative Research Analyst

PitchBook Data; Seattle (WA); On-site; USD 120,000 - 140,000; Full time

Benefits offered by this job

Annual bonus

Educational stipend

Paid time off

In-office collaboration

Job summary

PitchBook Data, a Morningstar company, is seeking a Quantitative Research Analyst to design and build statistical and ML models atop PitchBook’s proprietary datasets. You will work end-to-end from exploration to production, collaborating with product, engineering, and data operations to deliver tools used by major investors and financial institutions.

The role emphasizes rigorous experimentation, cross-functional collaboration, and clear communication of research findings.

Qualifications

• Bachelor’s degree in a quantitative field (finance, economics, statistics, computer science, data science, or mathematics).
• 3+ years 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.

Responsibilities

• Design, build, and validate statistical and machine learning models on 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 explaining methodology, findings, and market implications for institutional readers.
• Collaborate with other quant research analysts to develop new models and metrics.
• Stay updated on market conditions to ensure models remain relevant to clients’ workflows.

Skills

Python programming

Machine learning

Data analysis

Statistical modeling

Communication skills

Education

Bachelor’s degree in a quantitative field

Tools

Python

SQL

Pandas

scikit-learn

PyTorch

Job description

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 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

• 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
• Dependent Care FSA
• Employee referral bonus program
• Quarterly team building events
• 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.

As set forth in PitchBook Data’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.