Job Summary

Reports To: Sr. Manager, Professional Services

Location: Boise, ID

Kount Inc. is building a fraud analytics team to support a wide variety of customer needs focused on detecting fraudulent electronic events/transactions/usage. Fraud Analysis team members will work collaboratively with the Data Analytics team and data scientists to detect fraud through analytics capability and visualization in support of customers. The Fraud Analyst will assist the customer in strengthening their security posture against fraudulent transactions, through detailed and accurate analysis and reporting. Analysts will work closely with cross-functional Kount professionals in a team environment.

KEY RESPONSIBILITIES INCLUDE, BUT ARE NOT LIMITED TO:

  • Triage and interpret data associated with transactions and events
  • Contribute to the development of processes and reporting mechanisms to regularly assess the performance of the service, tell the story behind the numbers, and provide actionable insights to leadership
  • Perform reviews through the Kount platform to validate efficacy
  • Detect fraud through analytic methodologies
  • Examine decisioned transactions for trials, high value merchants, customers under attack or other assigned customers
  • Perform manual reviews on behalf of our customers
  • Conduct research to validate events/purchases/transactions
  • Conduct follow up research on events/purchases/transactions
  • Suggest/implement policy improvements
  • Solicit feedback from customers, sales and Customer Success Managers (CSM) regarding customer performance
  • Formulate questions and hypothesis for data analytics investigation
  • Provide data, reporting and narrative to customers, sales and CSMs
  • Research active fraud schemes and tools and create educational material for customer’s and internal personnel
  • Recommend improvements for the detection of fraudulent behavior through the analysis of data from many disparate sources
  • Develop visualization dashboards and indicators that identify anomalous activities
  • Understand business processes and synthesize potential fraud scenarios and risk indicators
  • Interact directly with customer project team members and operational staff
  • Possibility of working shifts to cover weekends/holidays for 24/7 operational coverage

QUALIFICATIONS AND MINIMUM REQUIREMENTS:

  • Bachelor’s degree in a technical or quantitative discipline, or equivalent combination of education and/or work experience
  • Experience in Customer Service and experience working with other departments to achieve company goals
  • Experience with deep fraud investigation using various fraud tools, social media verification, and complex analysis to increase approvals and approval rates
  • Experience in identifying false positives
  • Understand network infrastructure; knowledge and understanding of Internet web transactions and associated traffic flows
  • Advanced Microsoft Office Suite skills with a focus on Microsoft Excel
  • Experience with Linux command line and editor
  • Experience with Splunk or other data repository tools
  • Experience with Tableau
  • Ability to make informed analytic judgements and accurately and thoroughly document findings in a written and/or presentation format
  • Desire to help the customer make better business decisions through the analysis of threats, system development and big data
  • Strong analytic and creative problem-solving abilities

DESIRED QUALIFICATIONS:

  • Experience in fraud analysis
  • Ability to perform pattern recognition and analysis
  • Progressive experience in data analytics; focus on internet web transactions is preferred
  • Banking, payment and ecommerce experience along with Card Not Present (CNP) fraud knowledge/methodology
  • Experience with various fraud prevention solutions, identification of fraud risk factors and utilization of 3rd party validation tools
  • Knowledge of different payment types such as PayPal, Apple Pay, credit & debit cards
  • Knowledge of Payment Card Industry Data Security Standard (PCI DSS Compliance)
  • Experience in processing or identifying chargebacks or claims relating to ecommerce transactions
  • 5+ years of previous credit card fraud prevention experience preferred
  • Programming experience
  • Ability to easily communicate complex ideas to senior executives
  • Experience within or directly supporting 24/7 watch function; familiarity with visualization tools, response procedures and key challenges in a watch environment
  • Highly inquisitive and ability to work both independently and in a collaborative setting
  • Strong teamwork, communication and interpersonal skills
  • Strong communication, written, and organizational skills
  • Understanding of the current, insider threat and fraud landscape preferred

WORK ENVIRONMENT:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

  • Job performed at a desk in front of a computer
  • Requires heavy use of keyboard and mouse
  • Requires sitting for long periods of time
  • Casual work environment