Associate- Fraud Operations

Job Description

*SUMMARY The Data Analyst (Fraud Analytics) will spot fraud trends, investigate suspicious behavior and identify significant insights from different sets of data. Will be responsible in coming up with creative solutions including forecasting, to combat different types of fraud aiming for efficient controls. And, communicate findings through meaningful reports to Management and Stakeholders. RESPONSIBILITIES - Use data to create models that depict fraud trends in the customer base and the consumer population as a whole - Come up with solutions to the trends identified by improving existing or creating new controls - Identify possible threats through use of data and necessary tools - Create effective solutions in improving efficiency using different analytical techniques and forecasting - Create rules in the rule-s engine and conduct pre and post production testing to ensure effectiveness - Collaborate with cross-functional groups such as Customer Service, Product Management, and Engineering/Technology to enhance tools, data sources, system functionalities, and fraud detection methods - Use statistical methods to analyze data and generate useful business reports - Communicate trends, findings, proposals/solutions to Management and Stakeholders - Measure performance using appropriate tools and techniques - Generate suspicious activity reports and risk management reports for Management - Recommend or introduce new tools used for fraud detection, prevention and reporting activities - Perform other related duties as assigned REQUIREMENTS - 2+ years working in analytics / business intelligence environment or like fields - Executing complex SQL queries (joins, subqueries, unions, temporary tables) - Familiarity with statistical data analysis and visualization tools (Tableau, SAS, Python, R, etc.) - Analytical, quantitative mindset with a keen attention to detail - Excellent communication and writing skills - Must be dynamic and a self-starter, able to work independently or as part of a team - Ability to work in a high-pressure environment PREFERRED - Advanced degree (MS in analytics, Statistics, Mathematics, Information Systems, etc) - Programming skills with big data - Hadoop experience - Experience working with Data Science and Product teams to support business - Fraud prevention or behavior analysis experience EDUCATION, CERTIFICATION, TRAINING - Bachelor-s Degree or equivalent work experience in an area relevant to this position, *SUMMARY The Data Analyst (Fraud Analytics) will spot fraud trends, investigate suspicious behavior and identify significant insights from different sets of data. Will be responsible in coming up with creative solutions including forecasting, to combat different types of fraud aiming for efficient controls. And, communicate findings through meaningful reports to Management and Stakeholders. RESPONSIBILITIES - Use data to create models that depict fraud trends in the customer base and the consumer population as a whole - Come up with solutions to the trends identified by improving existing or creating new controls - Identify possible threats through use of data and necessary tools - Create effective solutions in improving efficiency using different analytical techniques and forecasting - Create rules in the rule-s engine and conduct pre and post production testing to ensure effectiveness - Collaborate with cross-functional groups such as Customer Service, Product Management, and Engineering/Technology to enhance tools, data sources, system functionalities, and fraud detection methods - Use statistical methods to analyze data and generate useful business reports - Communicate trends, findings, proposals/solutions to Management and Stakeholders - Measure performance using appropriate tools and techniques - Generate suspicious activity reports and risk management reports for Management - Recommend or introduce new tools used for fraud detection, prevention and reporting activities - Perform other related duties as assigned REQUIREMENTS - 2+ years working in analytics / business intelligence environment or like fields - Executing complex SQL queries (joins, subqueries, unions, temporary tables) - Familiarity with statistical data analysis and visualization tools (Tableau, SAS, Python, R, etc.) - Analytical, quantitative mindset with a keen attention to detail - Excellent communication and writing skills - Must be dynamic and a self-starter, able to work independently or as part of a team - Ability to work in a high-pressure environment PREFERRED - Advanced degree (MS in analytics, Statistics, Mathematics, Information Systems, etc) - Programming skills with big data - Hadoop experience - Experience working with Data Science and Product teams to support business - Fraud prevention or behavior analysis experience EDUCATION, CERTIFICATION, TRAINING - Bachelor-s Degree or equivalent work experience in an area relevant to this position

Keyskills :
statistical data analysissql queriesdata sciencedata analysisrisk managementpost productionfraud detectioncustomer servicefraud preventionbehavior analysis