Quantitative Research Analyst

PitchBook Data•Seattle, WA

23h•$120,000 - $140,000•Onsite

About The Position

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.

Requirements

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

Nice To Haves

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

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 fabout 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