Fraud Data Analytics

Overview

On Site
Depends on Experience
Full Time

Skills

Python
SQL
Fraud
Data Analytics
Financial

Job Details

Job Description:

Job Title: Fraud Analytics - Advisor

Location: Berkeley Heights, NJ (Onsite 5 days, M-F)
Type: Full Time/W2

The primary responsibility of the Fraud Analytics - Advisor 1 is to manage analytical support required for the development and implementation of fraud and credit risk models used to control financial risks associated with online bill payment activities. The Fraud Analytics - Advisor 1 is to provide a comprehensive and thorough analysis of any project undertaken. Projects range from simple requests for data analysis to complex undertakings that have a high impact to the overall operations. This position will need to effectively lead projects and introduce change into the work environment.

Roles and Responsibility:

  • Develop programs in SAS/R/Python/SQL to track key risk metrics for clients and upper management
  • Provide ad hoc analytical support for risk payment strategies and return/write-off mitigation strategies
  • Collaborate with internal business owners and vendors to evaluate existing processes and identify/analyze issues and improvements where applicable
  • Ability to understand and calculate financial impacts of projects and initiatives
  • Meet internal and external customer expectations by providing documentation, communication and/or presentations to customers as required
  • Lead high impact initiatives with multiple tracks of work toward corporate goals. May involve organizing and leading a small team of associates to meet the initiative goal

Basic Qualifications for Consideration:

  • Four-year college degree in Business or Technical related field such as Finance, Computer Science, Statistics, or equivalent experience.
  • Proficient with SAS, R, or Python
  • Proficient with SQL
  • 5 or more years of related experience in analytics, process improvements, and/or statistics.
  • Client facing or consulting experience.
  • Self-motivation with the ability to manage multiple tasks.
  • Good communication, organizational, and decision-making skills.

Preferred Skills, Experience, and Education:

    • Certified Fraud Examiner (CFE) designation
    • Experience with SSRS or Cognos.
    • Experience working with Credit Risk models and Fraud Detection models
    • Experience in a similar position in banking or credit card industry.
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