Breeze is building the universal payment layer to unify all currencies—fiat and crypto—so businesses and consumers can transact seamlessly. They are looking for a Senior Risk Data Analyst to build and scale their risk analytics function from the ground up, shaping data infrastructure, defining metrics, and driving insights for fraud prevention and merchant risk strategies.
Requirements
- Strong technical background with hands-on experience in SQL and Python.
- Expertise with BI tools such as Tableau, Sigma, or Metabase.
- Exposure to machine learning applications for business use cases (e.g., fraud detection, risk modeling).
- Ability to perform structured analysis (EDA, cohort analysis, etc.) and communicate insights clearly to both technical and non-technical audiences.
- Strong grasp of performance metrics, experimentation, and data storytelling.
Responsibilities
- Develop and track metrics to measure and monitor the performance of our risk products and strategies.
- Conduct in-depth analyses to uncover insights that reduce fraud and increase approval rates for our merchants.
- Build and experiment with machine learning models to identify fraudulent patterns and enhance detection capabilities.
- Work closely with engineers to ensure proper data instrumentation and high-quality data pipelines.
- Design and automate self-serve dashboards using BI tools (e.g., Tableau, Sigma, Metabase).
- Collaborate cross-functionally with Product, Engineering, and Business teams to translate requirements into data-driven solutions.
- Support the implementation and optimization of risk mitigation systems aligned with business goals.
Other
- 5+ years of experience in data-focused roles such as product analytics, business analytics, or data science.
- Proven experience in the Fraud/Risk domain, ideally within fintech, payments, or financial services.
- A creative problem solver who thrives in ambiguity and enjoys the pace of a startup environment.
- Must be okay working hybrid in either NYC or SF.
- Partner directly with clients, translating complex data insights into clear, actionable recommendations.
