Senior Financial Risk Analyst

Robinhood; Menlo Park, New York, Chicago (CA, NY, IL); On-site; USD 111,000 - 130,000; Full time

Benefits offered by this job

Performance driven compensation

100% paid health insurance for employees

Flexible benefits spending account

Job summary

Robinhood in Menlo Park is looking for a Risk Management Analyst to monitor corporate liquidity risks and develop financial risk models. Candidates should possess strong analytical skills and a solid grounding in financial methodologies. Experience in SQL and Python is required.

This role offers a unique opportunity to work within a dynamic team dedicated to democratizing finance for all.

Qualifications

• 1–3 years of experience in data analytics, risk management, or a comparable analytical role.
• Strong quantitative and problem‑solving skills, with the ability to communicate complex findings clearly.
• Solid grounding in financial risk methodologies including Value‑at‑Risk, stress testing, scenario analysis, and attribution modeling.

Responsibilities

• Monitor and report on financial risks across the firm daily.
• Conduct deep‑drop quantitative analyses into liquidity risks across the Robinhood ecosystem.
• Enhance and maintain liquidity risk models and forecasting frameworks to support proactive risk management.

Skills

Data analytics

Risk management

SQL

Python

Quantitative analysis

Problem-solving

Education

Bachelor's degree in mathematics, computer science, engineering or a related field

Advanced graduate degree such as an MFE

Tools

ETL tools like Airflow

AI/ML tooling

Business intelligence platforms like Superset or Looker

Job description

Join us in building the future of finance.

Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading.

About the team & role

We are looking for an intellectually curious and enthusiastic individual to help the organization prepare for continued rapid growth by having a good understanding of the impact of the financial markets and risks on Robinhood. This role is responsible for monitoring corporate liquidity risks and investments, developing financial risk models, forecasting key balance sheet items and providing deep dive analysis into financial market drivers of the business.

This role suits those with a bias towards action and impact, who believe in end to end execution and accountability. You are the perfect mix of analytical, technical, operational, and creative. You are a clear, confident communicator who loves taking a complicated problem, decomposing it, and building data driven models, then turning those models into processes and reports.

What you’ll do

• Monitor and report on financial risks across the firm on a daily basis, ensuring timely escalation of material exposures
• Conduct deep‑drop quantitative analyses into liquidity risks emerging across the Robinhood ecosystem
• Enhance and maintain liquidity risk models and forecasting frameworks to support proactive risk management
• Partner with Data Science and Engineering teams to design and deliver dashboards, automated alerts, and data pipelines that surface capital, liquidity, and counterparty credit risks for the Treasury function
• Collaborate with Finance and Product teams to assess emerging risks associated with new products and business initiatives

What you bring

• Bachelor's degree in mathematics, computer science, engineering or a related field.
• 1–3 years of experience in data analytics, risk management, or a comparable analytical role
• Strong quantitative and problem‑solving skills, with the ability to communicate complex findings clearly to non‑technical stakeholder
• Solid grounding in financial risk methodologies including Value‑at‑Risk, stress testing, scenario analysis, and attribution modeling
• Understanding of macroeconomics, financial markets, financial instruments, trading strategies, and investment theory
• Advanced proficiency in SQL and Python
• Ability to build and own process from the ground up
• Demonstrated ability to design and own end‑to‑end processes in ambiguous, fast‑moving environments
• Advanced graduate degree such as an MFE or in a similar technical field preferred.
• Experience developing and deploying production‑grade financial models in Python or R
• Familiarity with sophisticated financial instruments including derivatives, futures, leveraged products, and digital assets
• Experience with time series modeling and regression techniques
• Hands‑on experience with AI/ML tooling and business intelligence platforms such as Superset or Looker
• Working knowledge of ETL pipelines and workflow orchestration tools such as Airflow

What we offer

• Challenging, high‑impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer‑paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces

In addition to the base pay range listed below, this role is also eligible for bonus opportunities, equity, and benefits.

Base pay for the successful applicant will depend on a variety of job‑related factors, which may include education, training, experience, location, business needs, or market demands. The expected base pay range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. For other locations not listed, compensation can be discussed with your recruiter during the interview process.

Base Pay Range:

Zone 1 (Menlo Park, CA; New York, NY; Bellevue, WA; Washington, DC)

$111,000 - $130,000 USD

Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)

$97,000 - $114,000 USD

Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)

$86,000 - $101,000 USD

Click here to learn more about our Total Rewards, which vary by region and entity.

If our mission energizes you and you’re ready to build the future of finance, we look forward to seeing your application.

Equal Employment Opportunity Information

At Robinhood, we care deeply about diverse representation in our workforce as it supports our mission to democratize finance for all. In support of this goal, we encourage applicants to voluntarily identify demographic information. This information helps us to continue building a more inclusive workplace and to ensure effective recruiting programs that are inclusive of individuals across all backgrounds.

Self‑identifying in this section is completely voluntary and if you choose not to provide any information, please select the “I don't wish to answer” option under that question. Whatever your decision, data that you provide in this section will not be considered in the hiring process or thereafter. Individuals seeking employment at Robinhood are considered without regard to race, color, religion, national origin, age, sex, sexual orientation, marital status, ancestry, physical or mental disability, neurodivergence, veteran status, gender identity or expression, or any other characteristic protected by law.

You are being given the opportunity to provide the following information in order to help us comply with federal and state Equal Employment Opportunity recordkeeping, reporting, and other legal requirements, and to be used in our efforts to recruit a diverse workforce. Any information that you do provide will be recorded and maintained in a confidential manner. For more information on EEOC definitions, please reference this document .