The Role

We are looking for a talented Fraud Data Analyst to join our growing Fraud Platform Integrity team with focus on cyber. The ideal candidate brings unique experiences in both Fraud and Cyber with the technical ability to work with large disparate data sets. This role will require a strong understanding of both worlds and will be a critical contributor to the development of a Cyber Fraud Fusion Center.

The ideal candidate should be familiar with SQL and Python and have experience working with Snowflake and Tableau. They will be required to work independently and will need to be self-motivated to achieve the company's objectives in fraud prevention. The mission is to continue to iterate and develop a world class fraud prevention platform. We want to hear from you if you love working with data and are passionate about doing the right thing!

What you’ll do:

The Fraud Data Analyst will be responsible for the following:

• Play a vital role in revolutionizing the operating model, forging seamless synergy between the Cyber and Fraud teams.

• Contribute to the growth of the team's capabilities and understanding of fraud through Cyber specific research and learning activities.

• Analyze large and intricate datasets to extract actionable intelligence and develop new controls.

• Driving collaboration with industry partners and law enforcement

• Merge and integrate multiple complex datasets into a unified system, enabling comprehensive analysis and enhanced insights.

What you’ll need:

• 4+ years of data analysis experience preferably with focus on fraud prevention and/or cyber 

• In-depth understanding of web protocols and related data to uncover fraud related patterns.

• A degree in a quantitative field of study (e.g., Statistics, Finance, Economics, Math, Sciences, Engineering)

• Experience and understanding of working in either cyber-fraud intelligence collection & analysis or cyber-enabled fraud prevention and detection

• Understanding of malicious tools used by adversaries to target the financial sector

• Experience and understanding of working in either cyber-fraud intelligence collection & analysis or cyber-enabled fraud prevention and detection

• Experience with intelligence analysis processes, including Open Source Intelligence (OSINT) and closed source intelligence gathering, social media analysis, source verification, data fusion and link analysis

• A proactive and innovative mindset, continuously staying updated on the latest trends, emerging technologies, and evolving cyber threats in the financial sector.

Nice to Have:

• Experience working with multiple cross-functional teams to deliver results

• Experience in banking and/or fintech industry

• Knowledge of security network architectures (e.g. Proxies, VPN, DNS, web and mail servers) and the principles of network security