Payments Risk Analyst II

at Coinbase

📍 Hyderabad, India

INR 860,000 per year

MIDDLE

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 3 Blockchain @ 3 Communication @ 5 E-commerce @ 3 Fraud @ 3 GenAI Generative AI @ 3 Payments @ 3

Coinbase is a remote-first, but not remote-only company. Employees are expected to meet quarterly for in-person working sessions called “surges.”

Conduct detailed reviews of escalated customer accounts to identify and mitigate payments fraud risks, including chargebacks, ACH returns, wire disputes, and account takeovers.
Analyze fraud trends and patterns in payment activities, providing actionable insights to Payments Risk management.
Collaborate with the Payments Risk investigations team to provide feedback on rule performance and risk logic.
Support the development and documentation of review processes to enhance operational efficiency.
Identify workflow inefficiencies and recommend process improvements to mitigate risk exposure.
Maintain high standards of accuracy and timeliness in fraud investigations and risk assessments.

At least 1 year of experience in payments risk, fraud analysis, or risk operations within financial services or e-commerce.
Strong understanding of payments systems, fraud detection methodologies, and risk mitigation strategies.
Excellent analytical and investigative skills, including the ability to identify fraud patterns and root causes.
Proficiency in written and verbal English communication.
BA/BS degree or equivalent practical experience.
Ability to work collaboratively in a fast-paced, in-office environment.
Passion for combating fraud and abuse, with a proactive and detail-oriented approach.
Ability to responsibly use generative AI tools and copilots, such as LibreChat, Gemini, and Glean, in daily workflows. Candidates should continuously learn as tools evolve and apply human-in-the-loop practices to deliver business-ready outputs and measurable improvements in efficiency, cost, and quality.

Knowledge of blockchain analytics and fraud trends within the cryptocurrency ecosystem.
Familiarity with tools and technologies used in payments risk management.