Researcher @ World Class Hedge Fund

Location: New York, New York
Date Posted: 04-02-2018
 

Mission

Our mission is to bring idea meritocracies to the world, in other words, organizations in which the best ideas win. Humans are naturally and historically poor at decision making, and the costs are high: opportunities squandered, businesses wrecked, people hurt.  Why? Human ego, frailty, and bias. The idea meritocracy exists to help people get what they want out of life. Our team has set out to systemize a better way for people to work together, to build strong and vibrant communities, and ultimately to achieve world class results. We equip people with the ability to understand one another, thoughtfully disagree, stress test ideas, and compound knowledge through objective decision making.

Team & Product 

By collecting streams of real time experimental and observational data from a large and ever-growing number of sources, we construct and fit statistical, machine learning, and optimization models of people and of work. In a collegial atmosphere we debate modeling of human character, and what is the best ontology to represent it. We ask ourselves questions like: how do we know what people are like? Who is best for a given job? How can we work, together, better, more effectively? And, since we aspire to help people all over the world, we engineer for scale—a suite of applications built atop a forward thinking scalable and distributed architecture, to sustain a beautiful user experience within a rich ecosystem.

Responsibilities:

  • Research into systemized decision support for people management
  • Own creation and refinement of our systemized management algorithms
  • Emphasis on prototyping and exploring practical approaches to a complex problem space
  • Employ good statistical intuitions, particularly around unsupervised learning
  • Design and conduct experiments
  • Prototype, evaluate, and refine ideas in code
Position Requirements:
  • Master’s degree in Computer Science, Statistics, Operations Research, Computational Social Science, or similar field
  • Able to prioritize well and identify pragmatic, impactful approaches to complex problems
  • Has led the roll out of a new software product or substantial new features in an existing one
  • 4-6 years of experience applying statistics and/or statistical learning algorithms
  • Understanding of the practical implications of common statistical learning and statistics algorithms
  • Experience designing experiments and evaluating results.  Comfortable proposing evaluation metrics
  • 5+ years of hands on keys software development experience work in a team environment involving  many or all of
    • Python
    • Distributed version  control such as git or mercurial
    • Scikit learn
    • Tensorflow
    • AWS
    • Spark
    • Relational DB and SQL
    • Regular deployments  to a production environment
  • Expert or near-expert in Python
 
Preferred Qualifications:
  • Ph.D. degree in Computer Science, Statistics, Operations Research, Computational Social Science, or similar field
  • Previous experience with People Analytics
  • 10 years of applied statistics experience
  • 10 years of software development experience
Our client is an Affirmative Action – Equal Opportunity Employer.  
 
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