Job Details

Overview

At Forge (NYSE: FRGE), we know our team is our greatest asset. As technology innovators in the private market, our vision is to deliver a richer future for everyone. We live that vision through our values of being bold, accountable, and humble. Forges goal is to build best-in-class technology infrastructure to power a global private market that is transparent, accessible, and seamless for companies, their employees, and investors, with liquidity solutions, exclusive data and insights, a custody offering, and a vibrant marketplace. This role supports Forges Research & Analytics functions by generating original research and building internal capabilities that leverage exclusive private markets data, macro trends, and emerging themes to create content and insights for clients, prospective clients, internal partners, and the public.

Location: This role requires a hybrid work schedule, with 2-3 days per week in our San Francisco, CA office to foster collaboration and teamwork.

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
• Assist with inbound and outbound ad-hoc data requests and analysis for content and communications
• 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

Qualifications

• 5-7 years of relevant work experience (e.g., research, data science, data analytics) in the public or private equities markets
• Undergraduate degree 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 Forges response
• Advanced Excel and PowerPoint knowledge & exceptional attention to detail
• Strong interest in private investing and venture-backed companies; highly competent programmer: Python, AI/ML & Advanced SQL highly desirable
• Must be able to sit and/or stand for long periods of time in an office or home office setting while working
• Physical requirements: operate a computer for 8 hours per day; give and receive detailed information through verbal and written communication

Preferred Qualifications

• Professional writing experience
• Index management knowledge
• Advanced quantitative or undergraduate computer science degree

Compensation and Employment Information

For residents of San Francisco/Bay Area, CA the annual salary range for this role is $155,000 - $165,000 + annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, annual bonus, and other factors.

Upon offer, we conduct background checks that include employment and education verification, state, and county criminal history searches.

Equal Opportunity Employer

Forge is proud to be an equal opportunity employer committed to supporting a diverse and inclusive workplace. Our employment decisions are made without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), gender, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, veteran status, or any other characteristic protected by federal, state, or local laws.