Description
A career as a senior data scientist at National Bank is a unique opportunity to join a team of passionate people who want to change the world of banking. We are client-centric and work on high-impact big data and data modeling projects for fraud risk management.
Your job
- Develop fraud risk management business models/strategies/rules
- Integrate strategies into production systems and ensure proper architecture
- Track rules and enhance the analytics underlying strategies to automate and optimize fraud decisions.
- Make recommendations to reduce losses, enhance the customer experience and optimize the operational handling of alerts
- Participate in projects or committees that require a high level of expertise. Be a resource person for the business line and operations.
- Represent the industry and the Bank with various organizations, bodies or stakeholders to ensure coverage of fraud risk management issues and needs
- Participate in the definition of the strategic orientations of the sector
Your team
Within the Financial Crime sector, you are part of a team of 5 colleagues and report to the Director, Fraud Risk Management. Our team stands out for its agility, knowledge of the card fraud field, analytical capacity and exposure within the bank.
Our apprenticeship-in-action training programs allow you to master your craft. Customized training content on topics such as fraud, modeling, and data analytics is available to support your continuous learning. Access to colleagues with different expertise, experiences and diverse profiles enriches your development.
Prerequisite
- Bachelor's degree completed and 6 years of relevant experience or Master's degree completed and 4 years of relevant experience
- Modeling and programming expertise (SAS, Python, SQL PowerBI)
- Knowledge of strategy management systems (FICO or other business rules engine)
- Experience in transformation projects
- Experience in the field of fraud (financial crime)
