Quantitative Researcher, Finance

Redwood City, CA
Research
Full-time

At Wealthfront we believe everyone's personal finances can be optimized and automated for a very low fee using high-end technology. To achieve that, we built a software-only approach, which also helped create a new category: robo-advisors. Over the past six years we've paired the expertise of our PhD-clad research team with the exceptional talents of our engineering, product and design teams to deliver sophisticated products and services to our clients that are easy and fun to use. And that plan has worked! We have loyal clients from every state who trust us with over $9 billion in assets... and we're just getting started. 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.

Responsibilities

    • 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

Requirements

    • 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.