fraud analyst Jobs in pennsylvania

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Fraud Analyst - Hybrid Role - Charlotte, North Carolina/Malvern, Pennsylvania

Prodware Solutions

Malvern, Pennsylvania, USA

Contract

Job Title: Fraud Data AnalystLocation: Hybrid in Charlotte, North Carolina/Malvern, Pennsylvania (2 days from home and 3 days in office)Duration: 12+ Months ContractJob Description:Core Responsibilities1. 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. Lever

Data Analyst / Data Engineer (Anti-Money Laundering / Fraud background) - W2 Candidate only

Maven Companies

Remote

Contract

Data Analytics Engineer, Remote Must have AML/Fraud, and SQL/Python experience. Must work PST Hours. The role is a combo Data Analyst / Data Engineer; someone who is super strong in SQL and Python. They also need someone with Anti-Money Laundering / Fraud backgroundfrom the banking/finance industry. A huge bonus would be someone with Link Analytics experience.

Fulltime Role - Fraud Data Science Lead

Bottech

Malvern, Pennsylvania, USA

Full-time

Fraud Data Science Lead Fulltime Malvern, PA/TX/NC Salary Range - $120-160K/Annum Required: 7+ years related work experience in fraud strategy or fraud data science field with building strategies or models in banking industry.Experience in leading fraud strategy mandate in retail banks and consumer cards with thought leadership to drive client priorities successfully.Understanding of statistical methods, including classical statistics, probability theory, econometrics, and time-series analysis.

Sr Data Scientist - Financial Crimes & Fraud Prevention, VP (Hybrid)

Citi

Remote or San Antonio, Texas, USA

Full-time

The Business Analytics Lead Analyst is a member of the Fusion Analytics Team under FFC. This role will be tasked with creating analytical solutions across all LOB's utilizing statistical and advanced analytical techniques and drive strategic insights and decision making. An ideal candidate will have strong expertise in machine learning, predictive modeling and financial data analysis. Experience in digital fraud detection and cybersecurity will be a strong advantage. You will need to collaborate