Senior Risk Data Analyst at Breeze

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

14 Mar, 26

Salary

0.0

Posted On

14 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Risk Analytics, Fraud Prevention, Data Analysis, SQL, Python, Machine Learning, BI Tools, Data Instrumentation, Data Pipelines, Data Storytelling, Collaboration, Problem Solving, Performance Metrics, Experimentation, Client Partnership, Dashboard Design

Industry

Climate Data and Analytics

Description

Are you passionate about solving complex challenges in the fintech space? We’re looking for talented individuals to join our dynamic startup, backed by Sequoia Capital. We’re building the universal payment layer to unify all currencies—fiat and crypto—so businesses and consumers can transact seamlessly. If you're passionate about creating innovative solutions in a dynamic, fast-paced environment, we want to talk to you. We’re hiring a Senior Risk Data Analyst to build and scale Breeze’s risk analytics function from the ground up. This is a founding role — you’ll help shape our data infrastructure, define metrics, and drive the insights that power our fraud prevention and merchant risk strategies. What You’ll Do 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. Partner directly with clients, translating complex data insights into clear, actionable recommendations. 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. What We’re Looking For 5+ years of experience in data-focused roles such as product analytics, business analytics, or data science. Strong technical background with hands-on experience in SQL and Python. Proven experience in the Fraud/Risk domain, ideally within fintech, payments, or financial services. 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. 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. Why Join Us Competitive salary + equity plan 21 days PTO Flexible benefits: annual medical allowance, productivity allowance, gym membership/personal well-being subsidy Annual team retreat trip Work alongside a world-class team backed by Sequoia Capital with a healthy runway Our Culture Fast-paced and dynamic – We adapt quickly to capture opportunities. Builder’s mindset – We value initiative, creativity, and ownership. Collaborative – Product, data, and operations work as one team. Continuous learning – We share expertise and push boundaries. Join us in shaping how the world transacts — one seamless payment layer at a time. Apply now and help us build the future of payments at a global scale!

Responsibilities

The Senior Risk Data Analyst will develop and track metrics to measure the performance of risk products and conduct analyses to reduce fraud. They will also build machine learning models and collaborate with various teams to implement data-driven solutions.