# Head of Economic Research & Data Insights at Nerdwallet

- Company: Nerdwallet
- What the company does: NerdWallet makes it easy to find the right financial product for you. Our Nerds do all the research so you don’t have to. Backed by IVP.
- Company website: https://www.nerdwallet.com/
- Type: Startups
- Level: Principal and up
- Location: NerdWallet US
- Work setup: Remote
- Pay: $144K to $258K base salary per year (USD)
- Posted: 2026-09-18
- Apply by: 2026-11-02
- Apply: https://jobs.ashbyhq.com/nerdwallet/6ef65b4b-0e38-45d7-987b-11e6f84431c1
- Page: https://www.1752.vc/careers/jobs/nerdwallet-head-of-economic-research-and-data-insights/

## About the role

At NerdWallet, we’re on a mission to bring clarity to all of life’s financial decisions and every great mission needs a team of exceptional Nerds. We’ve built an inclusive, flexible, and candid culture where you’re empowered to grow, take smart risks, and be unapologetically yourself (cape optional). Whether remote or in-office, we support how you thrive best. We invest in your well-being, development, and ability to make an impact because when one Nerd levels up, we all do.

## What they're looking for

- Advanced degree in Economics, Statistics, Public Policy or a related quantitative field (PhD welcome, strong applied experience can substitute for a Master’s)
- 8+ years of applied economics experience, ideally in consumer finance, household economics, housing or labor markets
- A public body of work: published research, commentary or analysis written for a general audience, not only for academic or internal ones
- Demonstrated comfort as a quoted expert across broadcast, podcast, print or stage. Existing media relationships are a significant plus
- Willing and eager to be on camera and to build a social presence. An existing following on YouTube, Instagram, TikTok or X is a plus, not a requirement, the requirement is the appetite and the willingness to show up consistently
- Hands-on quantitative skills: R or Python, SQL, and the judgment to work with messy, incomplete or short time series and caveat honestly rather than over-model

Tags: Communications