Fraud Analyst at Aqua Finance Inc
Wausau, Wisconsin, USA -
Full Time


Start Date

Immediate

Expiry Date

19 Sep, 25

Salary

0.0

Posted On

20 Jun, 25

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Fraud, Sas, R, Cams, Communication Skills, Investigation, Analytics

Industry

Financial Services

Description

The Fraud Analyst will support Aqua’s efforts to identify, analyze, and mitigate fraud risks across the company, with the primary focus on third-party / merchant fraud risk. The role requires working to assist in the development of fraud strategies, leveraging advanced detection tools, and working collaboratively across departments, through monitoring and investigation. Additionally, this role will support the company’s BSA / AML function (detection, scanning, reporting), in conjunction with the company’s BSA Officer.

REQUIRED EDUCATION AND EXPERIENCE

  • Bachelor’s degree in related field, or commensurate work experience required
  • 2 years of financial industry experience required
  • 1 year of fraud risk analytics exposure required
  • CAMS, CFE, and/or CFCS preferred
  • Proficient in performing analytics using Python, R, SAS, or equivalent analytical tool and ability to query large amounts of data and transform the raw data into actionable insights
  • Working knowledge of investigation, detection, and mitigation practices for fraud
  • Attention to detail and accuracy required
  • Excellent verbal and written communication skills required
  • Proficient in the utilization of Microsoft Office Suite
  • Ability to thrive in a fast-paced work environment
Responsibilities
  • Oversee all ad-hoc requests for internal stakeholders including Legal, Compliance, Executive Leaders, and business partners
  • Develop and maintain periodic analytics to provide management with full insight into emerging trends in Fraud; Communicate across teams and at all levels
  • Identify new emerging trends/issues and Partner with key process owners on the related issues/trends to identify process improvement opportunities
  • Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
  • Perform analysis of current and historic data to keep fraud systems and processes at the cutting edge of fraud detection
  • Monitor strategies to identify emerging attacks and trends and make changes to strategies in response
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