SoFi is a values-driven company on a mission to help our members get their money right. We create modern financial products and services that help people borrow, save, spend, invest, and protect their money better, so that they can achieve financial independence and realize their ambitions—from owning a home to saving for retirement, paying off their student loans, and more.

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!

The Fraud Data Analyst will be responsible for the following:

• Merge and integrate multiple complex datasets into Snowflake from Cloud native platforms
• 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

What you’ll need:

• 4+ years of data analysis experience preferably with focus on fraud prevention and/or cyber
• Experience working with cloud native technologies such Cloudflare
• Experience with setting up and maintaining Snowflake data ingestion pipelines
• 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
• 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