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Quantitative Researcher

San Francisco, California, United States

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, humble, and accountable. We experience the value that our vision brings to the world every day, helping the teams behind the greatest innovations of our generation, from space travel to planet-saving, plant-based nutrition, and more. 

With liquidity solutions, exclusive data and insights, a custody offering, and a vibrant marketplace, Forge’s goal is to build the best-in-class technology infrastructure to power a global private market that is transparent, accessible, and seamless for companies, their employees, and investors. Through Forge, employees can sell their private shares, employers can reward shareholders with pre-IPO liquidity and individual and institutional investors can participate in private unicorn growth. 

Forge's differentiated global marketplace addresses rising demand among individual and institutional investors for exposure to private company stocks and is building a growing network effect. 

Our ability to offer these powerful financial solutions has generated incredible interest from investors, demand from customers, and a need to grow our team to meet the needs of more companies, teams, and innovators in this way. 


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. 

This will be a hybrid role where you'll be onsite 2-3 days a week in our San Francisco, CA office

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 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

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


 

Forge implements a mandatory COVID-19 Vaccination Policy, which applies to all employees. All employees covered by this policy are required to be fully vaccinated as a term and condition of employment at Forge. Employees are considered fully vaccinated two weeks after completing primary vaccination with a COVID-19 vaccine, with, if applicable, at least the minimum recommended interval between doses. Employees must provide truthful and accurate information about their COVID-19 vaccination status, and, if applicable, their testing results as of the first date of their employment. 

Employees may request an exception from this mandatory vaccination policy if the vaccine is medically contraindicated for them or medical necessity requires a delay in vaccination. Employees also may be legally entitled to a reasonable accommodation if they cannot be vaccinated because of a disability, or if the provisions in this policy for vaccination conflict with a sincerely held religious belief, practice, or observance. All such requests will be handled in accordance with applicable laws and regulations.


Forge is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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