About us At RavenPack, we are at the forefront of developing the next generation of generative AI tools for the finance industry and beyond. With 20 years of experience as a leading big data analytics provider for financial services, we empower our clients—including some of the world's most successful hedge funds, banks, and asset managers—to enhance returns, reduce risk, and increase efficiency by integrating public information into their models and workflows. Building on this expertise, we are now launching a new suite of GenAI and SaaS services, designed specifically for financial professionals. Join a Company that is Powering the Future of Finance with AI RavenPack has been recognized as the Best Alternative Data Provider by WatersTechnology and has been included in this year's Top 100 Next Unicorns by Viva Technology. You will be working on Bigdata.Com, a next-generation platform aimed at transforming financial decision-making. The Opportunity: RavenPack is hiring a Vice President of Quantitative Research and Workflow Innovation to lead the development of groundbreaking workflows and intelligent agents powered by our state-of-the-art semantic search engine. This role focuses on advancing the use of alternative data to transform how financial professionals derive insights, make decisions, and achieve their strategic objectives. The ideal candidate will possess a blend of deep technical expertise, financial acumen, and visionary thinking, with a proven ability to bridge advanced analytics and practical applications for the financial services industry. What You'll Do: In this leadership role, you will: Play a pivotal role in shaping agentic workflows powered by our semantic search engine, driving automation and elevating the effectiveness of financial research and analysis. Design and implement chain-of-thought agents that replicate the decision-making processes of human financial analysts, ensuring actionable insights from RavenPack's data. Conduct rigorous research to accurately assess the fundamental implications of global topics on both macroeconomic trends and microeconomic variables. Collaborate with leading financial analysts, quantitative researchers, and portfolio managers to present new features and demonstrate the transformative potential of RavenPack's tools. Offer actionable, data-driven insights that inform investment strategies, risk management, and operational efficiency. Actively participate in research discussions and drive thought leadership by contributing to white papers, industry presentations, and internal knowledge sharing. Communicate complex analytical concepts and innovative workflows to executive management and clients with clarity and impact. What You'll Need: A PhD/MSc in a relevant field such as Quantitative Finance, Machine Learning, Economics, Applied Mathematics. 10+ years of experience in quantitative research and the application of AI/ML tools in financial contexts. #J-18808-Ljbffr