Quantitative Research Analyst

PitchBook PitchBook · Fintech · Seattle, WA · PIRG

This role involves designing, building, and validating statistical and machine learning models on proprietary datasets, supporting their full lifecycle, and authoring research on their methodology and implications. The role works end-to-end from data exploration to productionization and delivery, serving clients in the private markets.

What you'd actually do

  1. Design, build, and validate statistical and machine learning models and methodologies on top of PitchBook’s proprietary datasets
  2. Support the full lifecycle of analytical tools and models, partnering across teams to deliver insights to clients
  3. 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
  4. 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
  5. Serve as market experts and maintain a deep understanding of the market environment and how it impacts our clients’ workflows and needs

Skills

Required

  • Bachelor's degree in a quantitative field
  • 3+ years of experience in a quantitative research, data science, or ML engineering role
  • Strong Excel proficiency
  • Strong skills in SQL and Python

Nice to have

  • Strong understanding of financial concepts
  • 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)
  • 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

What the JD emphasized

  • Must be authorized to work in the United States without the need for visa sponsorship now or in the future

Other signals

  • design and build statistical and machine learning models
  • work cross-functionally to deliver the resulting tools to clients
  • author research that explains the methodology and its implications for private markets
  • work end-to-end, from data exploration and model prototyping through validation, productionization, and go-to-market delivery