Experience using tools and technologies such as Python, R, Java, Linux shell scripting, SQL/no-SQL databases, Spark, Elasticsearch, Parquet, SIEM platforms including Splunk, Microsoft Word, Microsoft Excel, and Microsoft PowerPoint. Five (5) or more years of professional experience supporting fraud analytics, cybersecurity analytics, data science, data engineering, predictive analytics, forensic analysis, investigations, fraud operations, platform advisory, or related technical delivery.