Fraud Data Analyst

Ria - Denver, CO

Full-time - Senior

Denver, CO

Administrative and Support Services

About the position

The Fraud Data Analyst will play a critical role in Ria's fraud mitigation program by monitoring transaction data, identifying potential fraud threats, and performing data analysis to enhance our fraud prevention efforts. This position requires collaboration with cross-functional teams to analyze data, monitor trends, and create and implement innovative solutions aimed at mitigating fraud risks and improving key performance indicators (KPIs). The role involves analyzing big data and utilizing programming languages such as Python or R to develop and maintain fraud detection models and rules. The analyst will use data analysis, reports, and visualizations to effectively communicate insights and tell a compelling story with data. In addition to generating reports and insights based on ad hoc data analysis to evaluate fraud program strategies, the Fraud Data Analyst will assist in monitoring transaction data and performing data analysis to detect emerging fraud threats. This includes monitoring the performance of new and ongoing strategies, conducting quality assurance checks on transaction monitoring rules to ensure their accuracy and effectiveness, and staying updated on industry trends and emerging fraud vectors. The analyst will also be responsible for creating and maintaining documentation of all analyses conducted, ensuring that all findings are clearly and concisely communicated to stakeholders.

Responsibilities

• Monitor transaction data to identify potential fraud threats.
• Perform data analysis to enhance fraud prevention efforts.
• Collaborate with cross-functional teams to analyze data and monitor trends.
• Create and implement innovative solutions to mitigate fraud risks and improve KPI performance.
• Analyze big data and use programming languages like Python or R to develop and maintain fraud detection models and rules.
• Generate reports and insights based on ad hoc data analysis to evaluate fraud program strategies.
• Utilize SQL and Python to assemble and analyze large data sets.
• Assist with monitoring transaction data and performing data analysis to detect emerging fraud threats.
• Conduct QA checks on transaction monitoring rules to ensure accuracy and effectiveness.
• Stay updated on industry trends, emerging fraud vectors, and internal strategy.
• Create and maintain documentation of all analysis.

Requirements

• Bachelor's degree in data science, statistics, computer science, or a related field.
• 5+ years of experience in data analysis and fraud prevention.
• Proficiency in programming languages such as SQL and Python.
• Strong analytical and problem-solving skills.
• Attention to detail and a high level of accuracy.
• Excellent communication and teamwork skills.
• Knowledge of financial industry fraud detection tools is a plus.

Nice-to-haves

• 3 years of experience in the financial services industry.
• 3 years of experience with fraud detection tools or fraud programs.
• Proficiency in designing and creating dashboards in Microsoft Power BI.