Staff Fraud Analyst at DigitalOcean

We are looking for a Staff Fraud Analyst who is passionate about hunting and minimizing fraud in the Cloud. 

As a Staff Fraud Analyst at DigitalOcean, you will join a dynamic team dedicated to revolutionizing cloud computing and AI. This role reports to the Senior Manager of Security Engineering within the Security organization. You should have experience hunting fraud in a complex, high-scale environment, writing and communicating consumable insights to stakeholders across the business, and devising and implementing fraud mitigations that are aligned with overall business goals. You will be working at the intersection of fraud and business imperatives like customer conversion and resource allowance, maintaining high levels of trust, and revenue collection. With a massive funnel and diverse customer base, small tweaks can have outsized impact—we'll rely on you to surface bold, data-informed strategies and decisions to protect and grow our platform.

What You’ll Do:

• Lead proactive fraud and abuse hunts at scale by analyzing patterns in customer behavior, platform activity, and financial data.
• Investigate sophisticated abuse scenarios such as account harvesting and reselling, credit card testing, promo exploitation, and unauthorized resource consumption.
• Partner closely with engineering teams in the Security, Billing, Infrastructure, and Product orgs to implement mitigations that preserve platform trust and safety while minimizing impact to legitimate users.
• Use a mix of SQL/data warehouse queries, machine learning, internal tools, and product telemetry to surface anomalies and build repeatable methods to detect new fraud patterns.
• Shape and tune rules, heuristics, internal playbooks, and automated actions for risk scoring, blocking, and escalation workflows.
• Act as a subject matter expert for fraud and cloud capacity management industry trends, collaborating with Finance, Growth, Customer Support, and go-to-market teams on education and cross-functional response.
• Monitor and own metrics such as fraud loss, mitigation efficacy, and false-positive rates, and regularly share insights with stakeholders.
• Contribute to tooling, dashboards, and feedback loops that help the broader team detect fraud faster and act more decisively.

What You’ll Add to DigitalOcean:

• 8+ years of hands-on experience in fraud analysis, risk operations, or abuse prevention, preferably in a high-scale SaaS, IaaS, or fintech environment.
• Deep familiarity with fraud tactics, including fake signups, payment fraud, bot networks, promo abuse, and Cloud infrastructure abuse.
• Strong analytical and investigation skills, with proficiency in SQL, data warehouse querying (e.g., Snowflake, Redshift, BigQuery) and ETL, and pattern recognition in high-volume datasets.
• Comfort working in complex software environments—you understand system behaviors, account and resource provisioning flows, and how they can be exploited.
• Understanding of cloud-native services and infrastructure provisioning (e.g. compute, storage, networking).
• A customer-first mindset—you aim to maximize fraud prevention while minimizing impact to high-value customers.
• Excellent communication and documentation skills; you can clearly articulate patterns, mitigation strategies, and tradeoffs to both technical and non-technical stakeholders.
• High integrity, strong judgment, and a track record of working independently on high-impact investigations and policy decisions.

Bonus Adds:

• Experience with Snowflake, dbt, and Airflow
• Experience with Python and Go
• Familiarity with external fraud tooling (e.g., Sift, Arkose, Stripe Radar) or internal risk platforms.
• Experience with fraud operations at scale, especially in environments offering free-tier services or self-serve onboarding.

Why You’ll Like Working for DigitalOcean

• We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions. 
• We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
• We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support you from our Employee Assistance Program to Local Employee Meetups to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
• We reward our employees. The salary range for this position is between $166,400 - $208,000 based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program. 
• We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

*This is a remote role

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