Quantitative Research Associate


New York City, NY, US
  • Job Type: Full-Time
  • Function: Data Science
  • Post Date: 01/11/2021
  • Website: https://www.captec.io/
  • Company Address: , New York, NY

About Capital

We’re building financial services for a new economy where companies can get a free transparent analysis of their business with Fortune 500 quality analytics before running a fundraising process.

Job Description

Capital (www.captec.io) is a New York-based technology company and the creator of The Intelligent Credit Market. The Intelligent Credit Market is a powerful technology that helps leading global investors find, understand and finance companies non-dilutively bringing modern, Silicon Valley technology to the world’s $5T private capital markets. Like all category-reinventing businesses (ex: the FAANG companies) Capital has two sides to its marketplace: capital allocators and companies which demand capital. Sophisticated capital allocators including over 250 multi billion dollar family offices, banks and sovereign wealth funds come to Capital because they believe that participating in The Intelligent Credit Market can level up their businesses - helping them to better originate, underwrite and service whether in their core business or in new investment strategies. Innovative companies come to The Intelligent Credit Market because it is the most efficient place in the world to plan and close an institutional fundraising process. The company was founded by alumni from Stanford, Draper Fisher Jurvetson (DFJ), OakTree, Foursquare, NASA, Class Dojo, and more. The team has over 75 years of experience on Wall Street and Silicon Valley, has raised over $250M to date from top-tier investment firms and has been featured in TechCrunch and Business Insider.

What does a Quantitative Researcher do at Capital?

As a Quantitative Researcher at Capital, you will work on mission-critical problems related to exploring transaction-level private company data which is uniquely accessible at scale via our Capital Machine. You will also explore public, top-down data sets combining both forms of data to generate novel investment theses. You will work with Capital's proprietary financial theory to test your investment ideas across the entire universe of private companies. Like Warren Buffett's concept of Owner Earnings, Capital's financial theory supports a generalizable and benchmark-able view of companies. Unlike Owner Earnings, this view leverages granular system-of-record data available only to investors in private companies building investment systems from the ground up in the 2020s. Applying this theory requires the correct blend of financial sophistication and elegance. To do this well, you must be:
      • An expert investor who has formed your views through first-hand experience in multiple asset classes (ex: credit vs. equity, public vs. private, growing vs. declining assets, etc.).
      • A fluent software builder who can bring your ideas to life through working code
      • A fluent data scientist or mathematician who can draw from a wide breadth of theory to solve financial problems
Maintaining these three qualities in one mind makes you a rare blend of skills and it is likely that you often get bored because you are unable to use all of these skills at once professionally. If you are a fit for this role, you know exactly what we are talking about as you read these words!

What skills have you mastered professionally to prepare you to be Quantitative Researcher?

    • You have strong foundations in finance, math, and economics. You likely self-study history, philosophy and any other field that lets you expand and test your theories on how the world works.
    • You write code fluently and quickly prototype your ideas. You see your power alley as research - you do not need to be a production-quality engineer and you will be supported by a large engineering team that puts the most important research into wide scale production.
    • You have a good eye for data visualization and a strong opinion about the most efficient way to consume information
    • You have a strong view on how micro-economic data can be combined with macro-economic data to make actionable investment decisions. You have a good feel for the right level of detail you need to make financial decisions and know that errors compound so avoid boiling the ocean.
    • You know that great investors predict company behavior and investor behavior. You are not dogmatic about a particular type of investing (momentum vs. value or short horizon vs. long horizon) and know that the best bets come from having unique predictive power and thus value unique data sources.
    • You are not an accountant but you are comfortable diving into GAAP and IFRS, taking their best ideas to hone your taxonomy and leaving out unnecessary detail.
    • You can see cash flows and slice them into structures that give you precise exposure to the risks you want to take. You can articulate these structures mathematically and you can comfortably translate that math into bullet points which the lawyers you collaborate with can transform into legal documents.
CAPITAL is seeking candidates for a Quantitative Research Associate position who are available to start immediately. 

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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.