Fraud Analyst

About the role

In this role, you will be responsible for leading fraud investigations and building effective fraud detection rules. Your expertise in fraud detection and prevention will be crucial in identifying and mitigating risks in the financial services and e-commerce sectors.

You will work with large datasets using tools like SQL and Excel, analyzing data to derive actionable insights. Success in this position requires strong critical thinking skills, attention to detail, and the ability to communicate findings clearly to cross-functional teams.

The salary for this role ranges from $91,000 to $93,000, reflecting the expertise required.

Skills that matter here

• fraud detection: This role involves leading complex fraud investigations and building detection rules.
• data analysis: You will analyze large datasets to identify patterns and recommend actions.
• SQL: SQL will be used for querying data to support fraud investigations.
• Excel: Excel will assist in data manipulation and analysis.
• BI tools: BI tools will be utilized for visualizing data insights.

Who this role suits

• You have over three years of experience in fraud detection and investigation.
• You thrive in fast-paced environments and can maintain accuracy under pressure.
• You possess strong critical thinking skills and can make sound decisions quickly.
• You are proactive, taking ownership of problems and driving solutions to completion.

From the employer

What You'll Need

• 3+ years of experience in fraud detection, prevention, and investigation, preferably in financial services, payments, or e-commerce.
• Demonstrated experience leading complex fraud investigations from initial alert through to root cause analysis and remediation.
• Hands-on experience building, implementing, and tuning fraud detection rules, including rule backtesting and performance management.
• Strong understanding of fraud typologies, attack vectors, and emerging trends in the crypto and digital payments space.
• Experience with data analysis tools and the ability to derive conclusions and recommendations from large datasets (e.g. SQL, Excel, or BI tools).
• Excellent critical thinking and risk assessment skills—you can evaluate the likelihood and impact of fraudulent activity under pressure and make sound decisions.
• Strong attention to detail with the ability to maintain accuracy and thoroughness in a high-volume, fast-paced environment.
• Clear, professional communication skills with the ability to write concise case notes, escalations, and cross-functional updates.
• A proactive, ownership-driven mindset—you identify problems, propose solutions, and drive them to completion.