Minimum Qualifications:

📍Currently pursuing a Bachelor’s or Master’s degree in a related field (Finance, Economics, Statistics, Computer Science, Data Analytics, or similar). 📍Strong analytical skills and ability to work with large datasets. 📍Proficiency in Excel, including functions such as XLOOKUP, COUNTIF, SUMIF, and Pivot Tables. 📍Familiarity with SQL and relational databases. 📍Interest in credit card risk, fraud detection, and financial risk management. 📍Excellent verbal and written communication skills. 📍Ability to thrive in ambiguous situations and make data-driven decisions. 📍A proactive, hands-on approach with a willingness to learn and take on challenges.

Preferred Qualifications:

📍Experience with data visualization tools (e.g., Tableau, Looker, Power BI). 📍Knowledge of Python for data analysis and automation. 📍Familiarity with fraud risk models, machine learning techniques, or transaction monitoring systems. 📍Roll-up-the-sleeves, no-task-is-too-small-attitude - willingness to do what’s necessary to ensure the safety of our customers. 📍A healthy balance of empathy and skepticism, and the ability to question one’s own assumptions.

The crypto industry is evolving rapidly, offering new opportunities in blockchain, web3, and remote crypto roles — don’t miss your chance to be part of it.