Chief Data Analyst

A career in data analysis, particularly in fraud risk management, gives you the opportunity to combine your passion for analytics with a meaningful impact on the banking industry.

You’ll be part of a team that leverages big data and advanced modeling to protect the Bank and its clients. By joining a group of passionate professionals, you’ll help shape the future of fraud prevention through data-driven strategies and insights.

Your job

• Conduct complex analyses and interpret data to provide insights that support decision-making in fraud risk management activities
• Develop, optimize and monitor fraud prevention models and strategies
• Support operational fraud prevention teams with data-driven recommendations
• Contribute to defining the strategic direction of the Risk Management sector
• Make recommendations to reduce fraud losses and measure their impact
• Participate in committees or special projects requiring a high level of expertise, and represent the Bank with various organizations, stakeholders, or authorities to ensure fraud risk management needs are proactively addressed  
  
  

Your team

You will be part of a team of 5 colleagues in the financial crime sector and will report to the Analytics Manager – Fraud risk Management. Our team stands out for its strong analytical capacity and its key role in preventing risks for the Bank. Our goal is to offer you maximum flexibility to promote your quality of life, particularly through a hybrid work environment and flexible work schedules.

The Bank values continuous development and internal mobility. Our personalized training programs, based on on-the-job learning, help you master your profession and develop new fields of expertise. Tools such as the Data Academy, Language Training, Harvard Learning Centre and coaching and mentoring support are available to you at any time.

Prerequisites

• Bachelor’s degree and 6 years of relevant experience
  OR Master's degree and 4 years of relevant experience
• Experience in fighting financial crime
• Mastery of data modelling and visualization techniques (SAS, SQL, Python, PowerBI)
• Client-centric approach and solutions