Senior Financial Risk Analyst

Robinhood•Chicago, IL

About The Position

Robinhood is seeking an intellectually curious and enthusiastic Senior Financial Risk Analyst to join their team. This role is crucial for preparing the organization for continued rapid growth by understanding the impact of financial markets and risks on Robinhood. The position is responsible for monitoring corporate liquidity risks and investments, developing financial risk models, forecasting key balance sheet items, and providing in-depth analysis into the financial market drivers of the business. The ideal candidate will have a bias towards action and impact, with a strong ability to execute and take accountability. They should possess a blend of analytical, technical, operational, and creative skills, and be a clear, confident communicator capable of decomposing complex problems, building data-driven models, and transforming them into processes and reports.

Requirements

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

Nice To Haves

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

Responsibilities

Monitor and report on financial risks across the firm on a daily basis, ensuring timely escalation of material exposures
Conduct deep-dive 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