Quantitative Researcher, Finance

Redwood City, CA
At Wealthfront we have an ambitious vision to optimize and automate all your personal finances. By delivering our service exclusively through software, we can also offer very low fees and account minimums. Over the past six years our clients have rewarded us with $10 billion to manage and we have attracted some of the best venture capital firms in the business including Benchmark Capital, Greylock, Index Ventures and Social Capital. We recently closed a $75 million round of funding from Tiger Global and are rapidly growing our team. So if you're passionate about helping people secure their ambitions while helping to change an industry, keep reading.

We are seeking Quantitative Researchers to join the Research 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 (taxable and non-taxable), investment vehicle selection, tax efficiency, optimization, trade execution, behavioral finance, as well as, risk modeling and risk tolerance assessment. 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 R code.


    • Develop portfolio optimization models and investment algorithms
    • Build reproducible backtests for proposed models / algorithms
    • Conduct empirical statistical analysis / modeling on relevant data and develop actionable insights
    • Contribute to the development of research infrastructure for modelling, optimization, backtesting, analytics, and data management, to ensure an efficient and robust research process
    • 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


    • Masters or PhD degree in finance / economics. Candidates from related disciplines with a strong focus on quantitative analysis (e.g. operations research, statistics) are also encouraged to apply.
    • Experience analyzing complex data and building statistical models
    • Strong background in econometrics / statistics; experience with optimization desired
    • Programming competency in R and / or Matlab and / or Python
    • Programming competency in SQL preferred
    • Strong presentation skills and ability to communicate technical content to an audience with varied backgrounds
About Wealthfront:
For more information please visit www.wealthfront.com.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.