- 10+ years of relevant experience in data analytics, data science, risk, or fraud optimization, with a demonstrated track record of driving measurable impact in a payments or fintech environment.
- Deep expertise in risk and fraud analytics, including hands-on experience working with ML-based decisioning systems and large-scale risk model data. You are comfortable working with raw model output and labeled risk data to generate insights that go beyond standard analytics.
- Expert-level proficiency in Python, SQL, and PySpark, with hands-on experience in large-scale data processing, scalable ETL pipeline development, and production-grade analytical systems.
- Strong experience with data visualization and self-service analytics tools such as Looker or Tableau, with the ability to design dashboards and tools that non-technical stakeholders can use independently.
- Deep understanding of statistical methods including hypothesis testing, experiment design, regression modeling, and the ability to apply these rigorously in a business context where decisions have commercial consequences.
- Experience with big data technologies including Spark and Airflow, and version control systems including Git, with a standard of engineering quality that produces reliable, maintainable, and scalable outputs.
- Demonstrated ability to work at the boundary of technical and commercial: translating complex analytical findings into merchant-facing recommendations, product feedback, and strategic narratives that influence decisions at the senior level.
- Proven ability to lead high-impact, cross-functional initiatives independently, with the organizational credibility and communication skills to align stakeholders across commercial, product, and data functions.
- A forward-looking perspective on where payments risk and fraud optimization are heading, including familiarity with how ML adoption is reshaping risk strategy, how authentication frameworks are evolving under regulatory and commercial pressure, and how emerging payment patterns such as agentic commerce introduce new fraud and dispute challenges.
- Ownership mentality, intellectual curiosity, and the ability to operate in a fast-paced, cross-functional, global environment where ambiguity is the norm and impact is the measure.
- A track record of making the people and teams around you more capable: through mentorship, knowledge transfer, methodology development, and tooling that scales your expertise beyond your own direct output.
- Payments or fintech industry experience is required at this level, not a plus.
Total rewards & compensation
The annual base salary range for this role is $154,000 - $200,000. Compensation is based on factors including qualifications, experience, and location. Total compensation package includes equity (RSUs), 401(k), health, dental, vision, and more.
In-office expectations
This role is based in our Chicago office. We're an office-first company and expect employees to work in-office at least 3 days a week on average. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while also supporting flexibility.