The job, in the employer's words
Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.
As a Senior Analyst on the Risk Analytics team within the Consumer & Business group, you'll own the identification and mitigation of account takeover (ATO) and scam risk across the Coinbase ecosystem. You'll build critical defenses that protect our users and platform integrity, using data to drive risk decisions that impact millions of customers. This is a high-impact role where you'll define risk metrics, shape prevention strategies, and partner cross-functionally with Product, Engineering, and Data Science to stay ahead of evolving threats.
What you'll do:
- Own end-to-end risk controls for ATO and scam prevention, scaling processes to maintain coverage as the business expands into new products and regions.
- Define risk success metrics, build reporting frameworks, and drive continuous improvement by identifying and prioritizing control enhancements.
- Leverage data to assess risk and make decisions impacting large customer segments, measuring and quantifying associated tradeoffs through rigorous analysis.
- Partner with Product, Engineering, and Data Science to develop custom risk management strategies and techniques across the Coinbase product suite.
- Synthesize data findings into clear narratives and recommendations that influence senior risk and product leadership decisions.
- Investigate and mitigate fraudulent and scam activities by reviewing alerts on anomalous customer and transaction behavior.
Required Skills and Experience:
- 6+ years of hands-on risk experience in e-commerce or financial services, with at least 2 years focused on combating ATO and scams in a Fraud, Trust and Safety, or Account Security function.
- 2+ years of professional experience in data analysis using SQL and Python, including working with large-scale databases.
- Proficiency with business intelligence and data visualization tools (e.g., Tableau, Looker, Superset) to build dashboards and reporting frameworks.
- Proven ability to independently scope and deliver analytics projects while collaborating cross-functionally with Product, Data Science, and Engineering teams.
- Familiarity with blockchain analytics and fraud trends within the cryptocurrency ecosystem.
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
- Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
- Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
- US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.
- Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.
- Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.
Requirements mentioned
- 6+ years of hands-on risk experience in e-commerce or financial services, with at least 2 years focused on combating ATO and scams in a Fraud, Trust and Safety, or Account Security function.
- 2+ years of professional experience in data analysis using SQL and Python, including working with large-scale databases.
- Proficiency with business intelligence and data visualization tools (e.g., Tableau, Looker, Superset) to build dashboards and reporting frameworks.
- Proven ability to independently scope and deliver analytics projects while collaborating cross-functionally with Product, Data Science, and Engineering teams.
- Familiarity with blockchain analytics and fraud trends within the cryptocurrency ecosystem.
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
- Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
No Mondays shows this listing as the employer published it. Check the details on the employer's site before you apply.