The Role:
We are looking to hire a Quantitative Researcher to join our Research & Data Analytics team. In this role you will contribute to generating original research and building internal research & analytics capabilities. As a valued member of the team, you will also employ our exclusive private markets data, along with macro trends and emerging themes in the space to generate unique content and insights for our clients, prospective clients, internal partners, and the public. This is an impactful role that will help build and shape Forge’s Research & Analytics functions.
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:
8-12 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 Forge’s 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
Preferred Qualifications:
Professional writing experience
Index management knowledge
Advanced quantitative or undergraduate computer science degree
Experience with Looker
For residents of San Francisco/Bay Area, CA or New York, NY the annual salary range for this role is $200,000 - $220,000 + annual bonus. Final offers may vary from the amount listed based on geography, candidate experience and expertise, bonus, and other factors
