Senior Data Scientist

Job description

Description A career as a senior data scientist within the Financial Crime team at National Bank means contributing to the evolution of analytical capabilities and fraud risk management strategies through advanced expertise in data science. This role gives you the opportunity to make a tangible impact on the prevention and detection of banking fraud by developing models, analytical approaches and innovative solutions that support decision-making and reduce financial losses.

Your role

- Develop, maintain and optimize statistical and machine learning models aimed at improving fraud prevention and detection.

- Conduct complex analyses and interpret data to identify emerging trends and risks, and support decision-making in fraud risk management.

- Develop and optimize fraud prevention and detection strategies, and recommend analytical approaches to improve their effectiveness.

- Collaborate with operational teams and various partners to deliver high-impact analytics and modelling initiatives and address their business needs.

- Contribute to the sector’s strategic direction by anticipating evolving fraud risks and proposing new approaches to mitigate them.

- Ensure compliance with standards related to model development, monitoring and documentation, and contribute to projects or initiatives requiring advanced data science expertise.

Your team Within the Financial Crime sector, you’ll be part of a team of four colleagues and report to the Senior Manager, Analytics – Fraud Risk Management. Our team stands out for its strong analytical capabilities and key role in preventing risks to the Bank. We aim to offer you maximum flexibility to support your quality of life, including a hybrid work model and flexible schedules. The Bank values continuous development and internal mobility. Our personalized training programs, based on learning through experience, help you master your role and develop new areas of expertise. Resources such as the Data Academy, language training, Harvard Learning Center, as well as coaching and mentoring support, are available to you at all times.

Prerequisites

- Bachelor’s degree or master degree and 4 to 6 years of relevant experience

- Experience in financial crime prevention or fraud risk management.

- Proficiency in data modelling and visualization techniques (SAS, SQL, Python and Power BI).

- Strong analytical and problem-solving skills.

Artificial Intelligence

Communication

Data Structures

Data Visualization

Diversity & Inclusion

Performance Analysis

Problem Solving

Statistics

Teamwork

Business Acumen

Data-Driven Decision-Making

Detail-oriented

Initiative

Learning Agility

Resiliency

Your benefits In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as:

* Health and wellness program, including many options * Flexible group insurance * Generous pension plan * Employee Share Ownership Plan * Employee and family assistance program * Preferential banking services * Involvement in community initiatives * Telemedicine service * Virtual sleep clinic

We have an offer that keeps up with trends as well as your needs and those of your family.

Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are encouraged.

Making a bold move in a people-first environment We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people’s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees.

We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates! What can you bring to our team?

Join us!