Incredible opportunity for an experienced Senior Data Analyst to join a high-performing team within a high-paced environment.
We are looking for a minimum of 5 years of professional experience. Expertise in SQL and Python is essential, along with the ability to utilize advanced analytical techniques in data analytics and predictive modelling.
Key Responsibilities
* Analyze vast datasets to uncover fraud indicators, trends, and emerging threats.
* Apply advanced statistical techniques to enhance fraud detection accuracy.
* Evaluate and refine fraud rules and models to reduce false positives.
* Develop advanced algorithms for linking, clustering, and pattern recognition.
* Rapidly implement new fraud detection methods based on investigative insights.
* Collaborate with data science and tech teams to drive fraud prevention innovations.
Requirements
* 5 years of commercial experience in Data Analyst/Scientist role is essential
* Advanced SQL skills including advanced queries and stored procedures
* Advanced skills in Python
* Extensive use of data visualization tools like Power BI or Tableau
* Strong Data Modeling skills
* Some experience in Fraud would be very advantageous
* Outstanding communication skills necessary
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