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
#LI-LDM
