Required Qualifications
5+ years of experience in Data Analytics, Data Analysis, Financial Crime Analytics, Incident Response, Threat Detection, Fraud, AML, Cybersecurity, or a related field.
Strong experience handling, manipulating, and analyzing large and complex datasets.
Advanced proficiency in SQL for data extraction and analysis.
Hands-on experience with Python and/or Spark for data cleaning, transformation, automation, and analysis.
Experience developing analytical logic, detection rules, alerts, or models to identify suspicious or emerging behaviors.
Strong problem-solving and investigative skills with the ability to identify hidden patterns within data.
Ability to work independently while collaborating effectively with business and technical stakeholders.
Excellent attention to detail and a strong focus on data accuracy and quality.

Banking Data Analyst

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