fraud analyst Jobs in miami, fl

Refine Results
1 - 4 of 4 Jobs

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.

Java Developer with Scala Experience Fraud Protection

World Wide Technology

Remote

Contract

Worldwide Technology is looking for a Java Developer with Scala Experience Fraud Protection. This role is part of WWT s Strategic Resourcing services and is a contract role. The candidate will be supporting a WWT customer and will be employed by one of WWT s preferred partners. The partner will provide full compensation and benefit information prior to employment with the partner. Company Overview: Based in St. Louis, WWT works closely with industry leaders such as Cisco, HPE, Dell EMC, NetApp,

Fraud SME

Prodware Solutions

Remote or Malvern, Pennsylvania, USA

Full-time

This is Aishwary fromProdware Solutions LLC. We have a role which closely matches your skill set. Please go through the job description below and let me know if you or anyone who is looking for a good opportunity. You can reach me on. Job Title: Fraud SME Location: Hybrid inMalvern, PA(2 days from home and 3 days in office) Type: Full Time Permanent This is a Hybrid - 3 days Onsite Strong experience working with fraud detection, fraud strategy, and fraud prevention, with hands-on working experi

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