General Purpose

The Fraud Data Analyst performs day to day monitoring of fraud systems, rule tuning, and report analytics. Analyst must use statistical data modeling, and machine learning techniques to detect unusual transactions or behaviors.

Essential Duties/Responsibilities

• Performs day-to-day analysis for Fraud Department and recommends rule tuning based on fraud trends.
• Creates various reports, charts, and other materials from multiple layers of fraud monitoring.
• Monitors and stays up to date on current fraud trends.
• Monitor losses and analyze key factors on a continuous basis for manage losses.
• Develop monitoring tools and execute them periodically to efficiently track and monitor performance and losses.
• Analyzes and blocks threats using a variety of tools and methods.
• Create and execute early warning alerts to notify out of pattern behaviors, fraud attacks and system anomalies pertaining to all fraud software tools.
• Perform proactive deep dive analytics on a regular basis and produce actionable results.
• Build machine learning algorithms to drive efficiency and capture fraud patterns using large and unstructured data sets.
• Works closely with Fraud Officer and Fraud Supervisor.
• Works closely with other Information Security Analyst, the entire IT department, multiple outside departments, Alpine employees, and software vendors.
• Work closely with vendors' support personnel to resolve issues in a timely and professional manner.
• Analyst will work directly with internal staff only.
• Regular and reliable on-site attendance is an essential function of this job.

Other Duties/Responsibilities:

• Works closely with training and location staff for fraud awareness.
• Performs other duties as assigned.

Employees are held accountable for all dutes of this job.

Job Qualifications

Knowledge, Skills, and Ability:

• Strong background converting data insights into strategies.
• Ability and comfortable making independent decisions and practices solid judgement.
• Deeper knowledge of fraud vectors in the financial services industry.
• Detail oriented, able to prioritize tasks effectively, and able to multi-task.
• Solid analytical background and hands on experience analyzing large volume of data.
• Strong knowledge of standard banking concepts, practices, and regulations regarding possible fraud scenarios.
• Strong oral and written communication skills.
• Advanced skills in research and problem solving.
• Strong background converting data to insights and insights into strategy.
• Exhibits a positive attitude.

Education or Formal Training:

• High School Diploma or General Education Degree (GED) required.
• Bachelor's Degree in Data Analytics or related field preferred.
• Fraud Certification (CFE), or (CFS) within 6-18 months upon hire.
• SQL Experience or training preferred.
• Possession of, or ability to obtain, a valid State of Colorado Driver's License required.

Experience:

• Five (5) to Seven (7) years of fraud detection/investigation experience preferably in a banking environment.
• Other relevant banking industry experience may be considered on a year-to-year basis.
• Data analysis or an equivalent combination and experience may be substituted on a year-to year basis.

Working Conditions

Working Environment:

This job operates in a professional office environment and routinely uses standard office equipment such as computers, phones, and photocopiers. Travel to conferences, meetings and branch locations on a regular basis may be necessary. Additional requirements include occasional application updates on weekends or evenings.

Physical Activities:

These are representative of those which must be met to successfully perform the essential functions of this job.

This is largely a sedentary role. While performing the duties of this job, the employee is regularly required to talk or hear. Specific vision abilities required by this job include close vision, distance vision, color vision, and ability to adjust focus. Employee also may have to lift up to 25 lbs.

Note: This job description is not intended to be an exhaustive list of all duties, responsibilities, or qualifications associated with the job.

Starting Rate of Pay is from $31.25 to $36.25 per hour, depending on experience.

For an overview of our employee benefits please visit:

Position anticipated to close on May 08, 2024, or until filled.