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Cyber Fraud Data Analyst
Company | SoFi |
Address | Cottonwood Heights, UT, United States |
Employment type | FULL_TIME |
Salary | |
Category | Financial Services |
Expires | 2023-07-30 |
Posted at | 10 months ago |
Employee Applicant Privacy Notice
- Play a vital role in revolutionizing the operating model, forging seamless synergy between the Cyber and Fraud teams.
- Analyze large and intricate datasets to extract actionable intelligence and develop new controls.
- Merge and integrate multiple complex datasets into a unified system, enabling comprehensive analysis and enhanced insights.
- Contribute to the growth of the team's capabilities and understanding of fraud through Cyber specific research and learning activities.
- Driving collaboration with industry partners and law enforcement
- 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
- In-depth understanding of web protocols and related data to uncover fraud related patterns.
- Experience and understanding of working in either cyber-fraud intelligence collection & analysis or cyber-enabled fraud prevention and detection
- A proactive and innovative mindset, continuously staying updated on the latest trends, emerging technologies, and evolving cyber threats in the financial sector.
- A degree in a quantitative field of study (e.g., Statistics, Finance, Economics, Math, Sciences, Engineering)
- 4+ years of data analysis experience preferably with focus on fraud prevention and/or cyber
- 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 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
- Experience working with multiple cross-functional teams to deliver results
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