making, enhance customer experience, and drive innovation in banking products and services. Develop, deploy, and maintain machine learning models and statistical algorithms for banking applications such as credit risk, frauddetection, customer segmentation, churn prediction, and personalization. Work with large structured and unstructured datasets; clean, transform, and analyze data using SQL, Python, R, or similar tools. More ❯
for clients through survey data. THE ROLE: As a MI/BI Developer, your responsibilities will include: Creating and owning a brand-new suite of MI reporting for the fraud team. Migrating existing reports from Grafana to Power BI, with a focus on best practice and usability. Reviewing and rebuilding existing reporting structures from scratch. Liaising with engineering, analytics … and research teams to ensure data is being used effectively. Ensuring data quality standards are met. YOUR SKILLS AND EXPERIENCE: Strong background in data analysis, ideally within market research, fraud, or banking. Experience building MI/BI reporting functions from scratch. Comfortable with Power BI and SQL Knowledge of frauddetection and pattern identification within large datasets. More ❯
