Quantitative Researcher - Investments

Palo Alto, CA (Open to US-based Remote) && New York City, NY && San Francisco, CA && Seattle, WA

Full-Time

Mid (3-6 yrs)

Data & Analytics

Posted on March 10, 2026

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.

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

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 you’ll 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

Bonus Points

Experience with direct indexing, especially tax-aware strategies

Programming competency in Java or Scala

Experience with AWS cloud computing technologies

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