Overview
Hybrid
$50 - $60
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Skills
Fraud Analyst
Python
SQL
LexisNexis
Lexis
Nexis
Job Details
Job Title: Fraud Data Analyst
Location: Hybrid in Charlotte, North Carolina/Malvern, Pennsylvania (2 days from home and 3 days in office)
Duration: 12+ Months Contract
Job Description:
Core Responsibilities
1. Lead development of fraud strategies in fraud prevention systems. Independently perform sophisticated data analytics using structured and unstructured data.
2. Oversees and leads the divisional strategy for fraud strategy, including governance frameworks, data structures, and deliverables. Leverages deep analytics and statistics knowledge to determine risk, and develop plans for success.
3. Collects, analyzes, and communicates statistics related to daily fraud mitigation operations to stakeholders.
4. Leads and analyzes processes, products and reviews the validation of scalable analyses. Ensures products meet stakeholders' needs for information and insights. Develops a technology strategy and manages vendor relationships supporting the delivery of analytical capabilities.
5. Ensures alignment between department or team deliverables and enterprise goals and strategies.
5. Engages with strategic business and stakeholder relationships to understand and probe business processes in order to develop risk mitigation processes. Brings structure to requests and translates requirements into an analytic approach. Makes recommendations to key business partners or senior management as needed.
6. Continually develops understanding of industry trends and provides updates to the team to build business acumen. Champions change management efforts and advocates to ensure implementation of governance practices.
7. Participates in special projects and performs other duties as assigned.
Qualifications
Minimum of eight years related work experience in fraud strategy or fraud data science field.
Understanding of statistical methods, including classical statistics, probability theory, econometrics, and time-series analysis.
Strong familiarity with data extraction in environments like SQL. Working knowledge of Python, Hive, Spark, AWS Sagemaker.
Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
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