Quantitative Researcher

Responsibilities

• Utilize strong programming and data science skills to conduct unique research in support of our Data, Products and Marketing efforts
• Work closely with team members and across Forge to identify, measure and communicate the trends and forces moving and shaping the venture-backed / pre-IPO equity market
• Assist in the development of private market indices
• Support index rebalancing and answer client queries related to index management and methodologies
• Collaborate in the research and development of new models, data products, metrics, and insights
• Maintain and enhance internal models and databases to ensure comprehensive coverage for our data universe
• Aid data-driven content development and value proposition creation, collaborating across Markets, Marketing, Comms, and other Forge teams to prepare and publish thought-provoking, relevant, and timely research reports for clients and stakeholders
• Partner closely with our product, sales, and marketing functions by driving content development and value proposition creation
• Help identify new unique data points to support research and enhance our research and product offerings
• Partner with inbound and outbound ad-hoc data requests and analysis for content and communications

Qualifications

• 6-10 years of relevant work experience (e.g., research, data science, data analytics) in the public or private equities markets
• Undergraduate and Masters degrees in finance, economics, statistics, mathematics, engineering or a related field
• Excellent communication and presentation skills: able to translate and communicate quantitative information effectively to non-technical audience
• Strong internal partnership skills: ability to proactively suggest content ideas and collaborate with peers to execute, as well as respond to requests/ideas from partners and shape Forge's response
• Exceptional attention to detail
• Strong interest in private investing and venture-backed companies
• Highly competent programmer: Python, AI/ML & Advanced SQL highly desirable

Preferred Qualifications

• Professional writing experience
• Index management knowledge
• Experience building agentic workflows