Senior Research Intelligence Engineer

Join PitchBook, a fast-growing company in the private markets industry. As a Senior Research Intelligence Engineer, you will play a key role in managing data products and processes, delivering insightful information to our audience. You will work closely with various teams, including Product, Engineering, and Data Operations, to enhance our datasets and develop unique tools. This role requires a strong understanding of research processes, industry knowledge, and technical capabilities.

• Contribuer à la gestion des produits et des processus de données pour faciliter la livraison de rapports, d'analyses de données, de bulletins d'information, d'indices, etc.
• Servir de point de contact clé entre le groupe de recherche institutionnelle, les équipes produit et développement pour intégrer la méthodologie générée par PIRG dans les produits de la plateforme.
• Rechercher, construire et maintenir des pipelines de données pour de nouvelles sources et des sources existantes utilisées par PIRG, y compris des sources de données non natives.

• Must be authorized to work in the United States without the need for visa sponsorship now or in the future
• Demonstrated proficiency in SQL and Python required
• 7+ years of experience in data engineering, data analysis, or data-driven research
• 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
• Demonstrated proficiency in software development and deployment techniques, including AI-enabled coding tools
• Demonstrated experience working cross-functionally with technical teams to deploy complex tools and methodologies to production
• Strong understanding of financial concepts such as valuation techniques, startup cap tables, internal rate of return, and portfolio management
• Strong interest in M&A and private financial markets
• Bachelor's degree in a quantitative or technical field — Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or quantitative Finance/Economics — preferred
• Strong written and verbal communication skills with the ability to explain complex methodologies to technical and non-technical audiences
• Critical thinker with a detail-oriented and analytical mindset
• Proficiency with the Microsoft Office suite and the ability to quickly learn new systems and software