Quantitative Research, Intern

Redwood City, CA
Research
Intern

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 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 almost $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 looking for talented individuals passionate about conceptualizing, prototyping, and delivering the next generation of financial services to join the Research group at Wealthfront as Quantitative Researchers. Successful candidates will combine a passion for rigorous analysis, the pragmatism necessary to bring models to data, and a strong desire to work with a unique set of financial and client data. Quantitative Researchers investigate problems spanning portfolio construction (taxable and non-taxable), asset allocation, financial planning, as well as, trade execution and risk modelling. Code and models are the way we express insights and analysis, thus you need to be comfortable working with math, large datasets, and writing significant amounts of code.

Responsibilities

    • Develop models and algorithms underlying our financial planning and investment products
    • Develop actionable insights based on empirical analyses / modeling of relevant data
    • 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

    • PhD degree in economics / finance / operations research / statistics (or a related discipline with a strong focus on quantitative analysis)
    • Experience analyzing complex data and building statistical models
    • Strong background in econometrics / statistics / optimization / machine learning
    • 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.