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Data Science Lead

Published17th March
SectorInvestment, Asset Management & VCs
Job Type
Job TypePermanent
ConsultantFergus Owens

PropTech Data Science Lead role based in New York, San Francisco or Los Angeles, US

About the job

Since its founding in 2016, our client has been building a new kind of investment firm. They invest differently, focusing on and specializing in the intersection of real estate and technology. They raise capital differently, assembling a global consortium of the largest owners and operators of real estate alongside leading institutional investors. And they build their firm differently, innovating on and reimagining the traditional venture capital and asset management business models in many ways to grow their highly-differentiated platform.

They are hiring a Data Science Lead to join their investment team and develop data infrastructure, tools, and analysis to both bolster and accelerate their investment underwriting process. In this seat, you will lead data science and analysis as it relates to their investment process, focusing on two critical areas: first, investment analysis, including company-specific evaluation both of new investment opportunities and existing portfolio; and second, general market research. This role is ideal for candidates with a passion for data and who are excited by the prospect of building scalable tools and repeatable processes to derive actionable insights that can form the foundation of investment decision-making.

What You’ll Do
  • Scope, build, and lead the investment data science and analysis practice within our client’s investment team
  • Work closely with their investment team to turn datasets into actionable insights by attending weekly pipeline meetings and working 1:1 with investment team leads to support underwriting of all new investment targets
  • Build portfolio company dashboards to track all relevant KPIs and value creation metrics for existing their investments
  • Track and benchmark existing companies in our client’s CRM and investment pipeline by building a platform to help analyze datasets across all target companies
  • Work closely with senior management and outside law firms to develop and maintain best practices across employee onboarding/offboarding procedures, documentation, and other crucial areas of employee relations
  • Maintain and update all internal datasets for comparable company and valuation metrics across all the company’s investment team funds and strategies
  • Work closely with the company’s technology and IT team to develop a best-in-class technology stack to enable the Firm’s data science practice
What They’re Looking For
  • At least 4 years of relevant experience, including but not limited to data-science or other highly quantitative roles within: investing or financial services, management consulting, or in a technical role within a technology company
  • Proven track record of collaborating directly with non-technical teams to understand business requirements and ultimately deliver and package actionable insights
  • Comfort with high volumes of unstructured and structured data, with the ability to leverage multiple datasets to draw both granular and big picture conclusions
  • Mastery of Python, R, and SQL as well as data visualization and dashboarding tools (e.g. Tableau, Looker)
  • Interest in early stage and or/growth investing, and familiarity with investment and financial concepts
  • Bias toward action, comfort with ambiguity, and a desire to work in an entrepreneurial, fast-paced, high-growth environment

Willingness to work from New York City, Los Angeles, or San Francisco preferred

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