Quantitative Researcher - Investments

Wealthfront•Palo Alto, CA

10d•$185,000 - $211,000

About The Position

We are seeking a quantitative researcher / data scientist to join the Investments team at Wealthfront. The primary responsibility of the role is to investigate and develop proprietary, automated investment strategies addressing our clients' various investment problems. Your focus will span topics related to asset allocation, portfolio construction, optimization, tax efficiency, trade execution, behavioral finance, and will afford you the opportunity to work with a proprietary dataset spanning the investments of hundreds of thousands of clients. Successful candidates will combine an ability to derive and apply quantitative models to the empirical analysis of financial and client data. Code and models are the way we express insights and analysis, thus you need to be comfortable working with large datasets and writing significant amounts of code.

Requirements

Bachelors or Masters Degree in mathematics, statistics, economics or computer science (or a related quantitative discipline). If you have done or are thinking about doing a PhD someday, chances are youâll love our team
4+ years of experience in systematic or quantitative investing or a higher degree in a quantitative field
Experience analyzing complex data and building statistical models
Proficiency in Python or R (you have written massive amounts of code, employing revision control, and testing)
Competency in SQL preferred

Nice To Haves

Experience with direct indexing, especially tax-aware strategies
Programming competency in Java or Scala
Experience with AWS cloud computing technologies

Responsibilities

Build reproducible backtests for proposed models / algorithms
Contribute to the deployment and implementation of differentiated investment services
Contribute to the development of infrastructure for modelling, optimization, backtesting, analytics, and data management
Investigate, identify, and acquire internal / external datasets
Collaborate with other teams (engineering, product, design, marketing, and compliance) to commercialize new products and ongoing enhancements to existing products
Promote our products by providing data and authoring blog posts and white papers