Fraud Prevention Analyst

Provectus is a global technology consulting firm and AWS Premier Partner, that designs and builds solutions for industry-specific use cases, leveraging expertise in data, machine learning, and cloud technologies while fostering a collaborative and inclusive culture.

We are seeking a dedicated and proactive Fraud Prevention Analyst. Responsibilities include overseeing fraud prevention efforts, identifying emerging threats, and developing effective countermeasures. Analytical skills and collaboration with cross-functional teams will be essential to monitor and detect potential fraud.

**Requirements**:

- 5+ years of experience in Fraud and AML.
- Experience with investigative tool sets, such as a NIDS, NIPS, SIEM (i.e. Splunk, Sumo Logic, QRadar, Securonix, etc.), or Financial Crimes/ AML monitoring platforms (i.e. NICE-Actimize, FiServ-FCRM, FICO-Falcon, etc.).
- Experience with SQL and SSRS report writing, Business Intelligence tools such as PowerBI, Tableau, etc.
- Understanding of BSA/AML and Program requirements.
- Knowledge of AML-related processes, including KYC/CDD/EDD, transaction monitoring, or sanctions.Experience performing intrusion detection, threat hunting, and prevention monitoring along with documenting the results of investigations.
- Knowledge of Financial Crime and Anti-Money Laundering.
- Ability to prioritize tasks, and deal effectively with competing and changing priorities to meet deadlines.
- Accurate, detail-oriented, and organized with task management.
- Strong analytical and problem-solving skills with the ability to interpret large amounts of dataExceptional judgment, organizational and analytical skills, and keen attention to detail, coupled with excellent verbal and written communication abilities.
- Upper-Intermediate level of English.

**Responsibilities**:

- Log and event analysis with threat intelligence tools, and case management tools.
- Utilize business intelligence to develop new methods for fraud risk reporting.
- Develop analytics and make recommendations for fraud strategies to minimize fraud loss.
- Assess fraud trends and provide real-time recommendations to mitigate potential fraud.
- Perform complex analysis and modeling to identify patterns of fraudulent transactions and create prevention methods.
- Create, test, and implement rule criteria in applicable detection systems.
- Balance fraud prevention recommendations with member experience considerations.
- Analyze loss data to recommend and implement appropriate loss-prevention strategies.
- Evaluate fraud cases and losses holistically to identify areas of improvement.
- Create and deliver BI reporting to develop thorough reporting for senior leadership.
- Maintain knowledge and understanding of current trends, laws, and issues affecting the area of expertise.