PitchBook Logo

PitchBook

Quantitative Research Analyst

Posted 12 Days Ago
Be an Early Applicant
In-Office
Seattle, WA, USA
120K-140K Annually
Mid level
In-Office
Seattle, WA, USA
120K-140K Annually
Mid level
Design, build, validate, and productionize statistical and machine learning models on proprietary private-markets datasets. Collaborate cross-functionally to deliver analytical tools, author research, respond to client inquiries, and support go-to-market and productization.
The summary above was generated by AI

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 techniques 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.

#LI-MS1

#LI-Onsite

HQ

PitchBook Seattle, Washington, USA Office

Located just blocks away from Pike Place Market and historic Pioneer Square, our headquarters boast stunning mountain views

Similar Jobs

An Hour Ago
Hybrid
Bellevue, WA, USA
119K-207K Annually
Senior level
119K-207K Annually
Senior level
eCommerce • Healthtech • Pet • Retail • Pharmaceutical
Lead operational ownership and optimization of recurring, stored, and advanced authorization payment capabilities. Drive cross-functional programs, monitor payment KPIs, resolve partner escalations, analyze decline and authorization trends, and improve payment reliability, customer retention, and operational SLAs.
Top Skills: Account UpdaterAcquirersCard NetworksDebit RoutingDigital WalletsDispute ManagementPayment ProcessorsReconciliationStored CredentialsTokenization
3 Hours Ago
In-Office
Bellevue, WA, USA
139K-204K Annually
Senior level
139K-204K Annually
Senior level
Cloud • Information Technology • Machine Learning
Design, build, and operate a scalable multi-tenant control plane for high-performance AI storage. Optimize exabyte-scale S3-compatible object storage and distributed filesystems using RDMA, SPDK, GPU Direct Storage, and cloud-native tooling. Improve reliability, observability, and performance across storage stacks, collaborate cross-functionally, and mentor engineers.
Top Skills: CCephClickhouseDaosDashboardsDistributed FilesystemGoGpu Direct StorageGrafanaInfinibandKubernetesMetricsNfsObject StoragePrometheusRdmaRoceRustS3SpdkTelemetry
9 Hours Ago
Remote or Hybrid
45K-85K Annually
Junior
45K-85K Annually
Junior
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound and warm sales leads remotely, consult customers on insurance needs, match products and coverages, close sales, complete paid training and obtain Property & Casualty license, work scheduled shifts including one weekend day, and meet remote workspace and connectivity requirements.

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account