Description
A career as a Senior Data Analyst in the Financial Crime sector at National Bank means combining your passion for data with a meaningful impact on protecting clients and the Bank. This job allows you to contribute to the prevention of financial crime through advanced analytics and innovative fraud detection strategies.
Your job
- Conduct complex analyses and interpret data to provide insights that guide fraud risk management decisions.
- Develop, optimize, and monitor models and strategies that prevent and detect fraudulent activity.
- Support operational teams with data-driven recommendations to improve prevention processes.
- Contribute to defining the strategic direction of the Risk Management sector through analytical insights.
- Make recommendations to reduce fraud losses and evaluate their impact.
- Participate in committees or strategic projects requiring advanced expertise in fraud analytics.
Your team
You’ll join a team of five colleagues in the Financial Crime sector, reporting to the Analytics Manager - Fraud Risk Management. Our team stands out for its strong analytical skills and its central role in safeguarding the Bank from risks. We aim to offer you maximum flexibility to promote your quality of life through a hybrid work model and flexible hours.
The Bank values continuous development and internal mobility. Our personalized training programs, based on learning in action, allow you to master your craft and develop new areas of expertise. Tools such as the Data Academy, language training, the Harvard Learning Center, and coaching and mentoring support are available to you at all times.
Prerequisites
- Bachelor’s degree and 6 years of relevant experience OR Master’s degree and 4 years of relevant experience.
- Experience in financial crime or fraud risk management.
- Mastery of data modeling and visualization tools (SQL, Python, SAS and Power BI).
- Strong analytical thinking and problem-solving skills.
- Client-centric mindset and solution-oriented approach.