What are the responsibilities and job description for the Senior Risk Data Analyst position at breezecash?
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 some hours that overlap with our US team members.
- Must be based in NYC
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!