Staff Data Scientist, Robinhood
ML, Credit Risk
$217-255k
Plus bonus programs, equity ownership
3+ days a week in office
Commission-free stock trading & investing app
Be an early applicant
Commission-free stock trading & investing app
1001+ employees
Be an early applicant
$217-255k
Plus bonus programs, equity ownership
3+ days a week in office
1001+ employees
Company mission
To democratize finance for all.
Role
Who you are
- You have 7+ years of experience in data science and credit modeling
- You have strong proficiency in SQL and Python for data analysis and modeling
- You have experience designing experiments and interpreting results to guide product decisions
- You have domain knowledge and expertise in traditional credit data. Experience with non traditional credit data (such as cash flow) is a plus
- You communicate clearly with both technical and non-technical partners
What the job involves
- We are building an elite team, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers
- Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards
- The Credit Card business team's mission is to shape Robinhood’s vision in the credit and banking space by delivering smart, customer-focused financial solutions
- Our team is dedicated to reshaping the credit landscape and redefining the way people interact with financial services daily. We leverage cutting-edge analytical tools and diverse datasets to build deep understandings of consumer credit behaviors. We aim to make financial services accessible to everyone, building programs that support Robinhood’s broader goals!
- As a Staff Data Scientist, you will build credit risk models that allow us to better serve our customers and make responsible lending decisions
- Credit models are at the heart of all lending decisions. These models will drive decisions ranging from approve/decline, line assignment at origination and future credit limit increases. You will leverage traditional and non-traditional data sources to build highly predictive risk models. You will own the full lifecycle of model development from data prep, model building to model deployment
- Build credit risk models for customer acquisitions (credit approval and credit limit assignment) and customer management
- Collaborate with credit analysts and product managers to understand the business problem and deliver appropriate models to solve them
- Create rich datasets leveraging both traditional and non-traditional data sources. Work on innovative tools to generate powerful features that boost models
- Deploy, maintain and monitor models in production
- Communicate with senior stakeholders in credit, product and engineering to deliver key results and findings
Our take
For years, traditional brokers ruled the share trading realm, charging hefty fees that locked out everyday investors. Robinhood emerged as a disruptor, offering commission-free trading and opening the door to a new generation. Since then, expectations have continued to evolve, with investors looking not just to lower costs, but for simpler tools, clearer information, and guidance that makes the market easier to understand.
Robinhood was built to meet those changing expectations, designed from the start as a mobile-first platform that makes investor more accessible and less intimidating for people at every stage of their financial journey. Through its app, users can trade stocks and other financial instruments while benefiting from a clean interface and built-in educational support, helping them move from curiosity to confidence without unnecessary complexity.
Recently, Robinhood has strenghtned its impact too, particularly in the UK. With the launch of AI-powered Digests within its Robinhood Cortex assistant that helps users understand what's driving stock movements in plain English, while upcoming options trading and expanded educational resources add flexibility and depth. Together, these steps position Robinhood as a platform evolving alongside its users, blending technology and education to stay ahead in an ever-changing investment landscape.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 13 rounds)
Feb 2021
$2.4bn
CONVERTIBLE
Jan 2021
$1bn
LATE VC
Total funding: $5.6bn
Company HQ
Downtown Menlo Park, Menlo Park, CA
Leadership
Vlad Tenev
(Co-Founder, CEO & Chairman)Studied Mathematics at Stanford University, where they met Baiju. Dropped out of a PhD to start Robinhood. Alongside Robinhood, Vlad is also the co-founder and Executive Chairman of Harmonic.
Baiju B.
(Co-Founder)Studied Mathematics and Physics at Stanford University, where they met their Vlad and co-founded Robinhood in 2012. Baiju is also the Founder and CEO of Aetherflux.
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