Enterprise Fraud Technologies - Senior Fraud Systems Analyst

TITLE: SR FRAUD SYSTEMS ANALYST
STATUS: EXEMPT
REPORTS TO: DIRECTOR - FRAUD TECHNOLOGIES
DEPARTMENT: ENTERPRISE FRAUD TECHNOLOGIES
JOB CODE: 11734

PAY RANGE: $107,300.00 - $130,000.00 ANNUALLY

GENERAL DESCRIPTION:

As a Senior Fraud Technologies Analyst, you will be responsible for developing, implementing, and maintaining fraud detection and prevention solutions using advanced data analysis and machine learning techniques. You will work closely with business stakeholders, fraud investigators, and IT teams to identify fraud patterns, trends, and risks, and provide actionable insights and recommendations. You will also design, test, and monitor fraud rules and models, and ensure their accuracy, efficiency, and compliance with regulatory requirements.

TASKS, DUTIES, FUNCTIONS:

• Analyze large and complex datasets using SQL, Python, or other programming languages and tools to identify fraud scenarios and root causes.
• Develop, deploy, and maintain fraud detection and prevention models using machine learning, statistical analysis, and data mining techniques.
• Optimize fraud rules and models to balance fraud losses, operational costs, and customer experience.
• Monitor and evaluate the performance and effectiveness of fraud solutions and provide regular reports and feedback.
• Research and stay updated on the latest fraud trends, technologies, and best practices in the industry.
• Collaborate with cross-functional teams and stakeholders to understand business needs, provide fraud expertise, and deliver solutions.

PHYSICAL SKILLS, ABILITIES, AND EXERTION UTILIZED IN THE PERFORMANCE OF THESE TASKS:

1. Effective oral and written communication skills required to interpret, resolve, and document networking problems.
2. Must possess sufficient manual dexterity to skillfully operate applicable computer hardware, a variety of hand tools and standard office equipment.

ORGANIZATIONAL CONTACTS & RELATIONSHIPS:

1. INTERNAL:  All levels of staff and management
2. EXTERNAL:  Vendors.

QUALIFICATIONS:

EDUCATION: Bachelor’s degree in Computer Science, Information Systems, or a related field or equivalent work experience.

EXPERIENCE:

• At least 7 years or more experience in financial or health services, including technical business analysis, product development and process improvement with fraud detection and prevention processes.
• Proficient in SQL, Python, or other programming languages and tools for data manipulation and analysis.
• Experience in developing, testing, and deploying fraud detection and prevention models using machine learning, statistical analysis, and data mining techniques.
• Knowledge of fraud typologies, risk management, and regulatory compliance in the financial services industry.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a fast-paced and dynamic environment.

PHYSICAL REQUIREMENTS:

1. Prolonged sitting throughout the workday to accomplish tasks.
2. Availability for emergency and on call duty 24 hours a day, 7 days a week, as needed.
3. Occasional travel may be required.
4. Hearing within normal range.
5. May work additional work hours to accomplish tasks.

LICENSES/CERTIFICATIONS:

1. A valid state issues driver’s license is required.
2. Certifications are desired, such as Certified Fraud Examiner (CFE)

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THIS JOB DESCRIPTION IN NO WAY STATES OR IMPLIES THAT THESE ARE THE ONLY DUTIES TO BE PERFORMED BY THIS EMPLOYEE. HE OR SHE WILL BE REQUIRED TO FOLLOW OTHER INSTRUCTIONS AND TO PERFORM OTHER DUTIES REQUESTED BY HIS OR HER SUPERVISOR THAT ARE WITHIN HIS / HER KNOWLEDGE, SKILL AND ABILITY AS WELL AS HIS / HER MENTAL AND PHYSICAL ABILITIES.

REV. 9/12/2024