Senior Fraud Risk Analyst

5 days ago


Singapore SHIELD AI TECHNOLOGIES PTE. LTD. Full time

Company Overview

SHIELD AI TECHNOLOGIES PTE. LTD. is a cutting-edge technology firm that specializes in developing innovative solutions to combat fraud and protect our clients' interests.

Salary

$120,000 - $180,000 per annum, depending on experience.

Job Description

As a Senior Fraud Risk Analyst at SHIELD AI TECHNOLOGIES PTE. LTD., you will play a crucial role in supporting our risk operations by conducting data analysis of risk cases to discover risk trends and behavior patterns from big data sets.

Your key responsibilities will include:

  • Analysis of rich user and transaction data to uncover device, user, transaction, etc. trends that help alert SHIELD's risk systems and contribute to fraud prevention mechanisms
  • Optimize fraud detection by rapidly identifying emerging fraud trends through data-driven analysis and developing strategic fraud rules to address them
  • Perform data/statistical analysis to keep processes at the forefront of fraud detection by identifying areas of potential fraud risk and/or potential opportunities to improve current fraud mechanisms
  • Develop and communicate insights and recommended actions to stakeholders to manage risk by contributing toward machine learning models, and risk management principles to help clients trust their users by staying ahead of new and unknown fraud
  • Build and maintain dashboards for all stakeholders to provide visibility of key metrics, fraud patterns, and detection efficiency

Required Skills and Qualifications

To be successful in this role, you will need:

  • 3-5 years of experience as a hands-on analyst in a high-tech company
  • Minimum Bachelor Degree in Computer Science, Data Sciences, Statistics, Math, or other related fields
  • Strong experience in handling large-scale unstructured data
  • Experience in SQL or other data handling tools, as well as the ability to learn more advanced data tools
  • Business intelligence experience using tools such as Tableau, Qlik Sense, and Excel
  • Working experience with any of the data analysis tools such as R, Python, SPSS, SAS, etc.
  • Experience with the application of experimentation and statistical techniques (i.e. hypothesis testing, probability distributions, regression, decision trees, etc.)

Benefits

In addition to a competitive salary, you can expect:

  • A comprehensive benefits package including medical, dental, and vision insurance
  • A retirement plan with employer matching contributions
  • A generous paid time off policy
  • Opportunities for professional development and growth

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