Senior Data Scientist

A career as a Senior Data scientist in the commercial financing team at National Bank means serving as a data science, business intelligence and data valorisation specialist. This position allows you to have a positive impact on operational performance, the client experience and strategic decision-making thanks to your expertise in complex data analysis and the development of analytical solutions.

You will contribute to a strategic initiative to better understand and optimise time-to-cash, i.e., the time between the initial financing application from a commercial client and the disbursement of funds.

Your job

• Design and develop a reliable analytical environment to measure and track time-to-cash through the various steps of the commercial financing process.
• Develop performance indicators, analytical models and dashboards to support operational performance and decision-making.
• Analyze the data and the various stages of the financing process to identify factors influencing timeframes and optimisation opportunities.
• Formulate concrete findings and recommendations based on in-depth analyses to help improve processes.
• Produce management reports, analyses and executive presentations that explain complex information clearly and concisely.
• Collaborate with business partners and teams concerned to foster a shared understanding of indicators and contribute to other analytical and strategic initiatives in the sector.

Your team

In the commercial financing sector, you are part of a team specialised in business analytics, performance and data valuation and you report to the Senior Manager – Business Intelligence and Pricing. Our team stands out for the diversity of its expertise, the strategic scope of its mandates and its proximity to business decisions. You work with the Technology and Operations teams, risk teams and the commercial Banking sales force.

You'll join a team where collaboration, mutual support, autonomy and quality deliverables are important. As soon as you arrive, you will contribute to a structuring strategic project that will gradually build the analytical environment and the indicators needed to monitor time-to-cash, then deepen analyses and identify areas for improvement.

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

Prerequisites

• A bachelor’s degree in a relevant quantitative field, including statistics, mathematics, data science, computer science or engineering 5 to 7 years of relevant experience, or have a master's degree in a related field and relevant experience.
• Experience in analysing, manipulating, structuring and valuing complex data as well as developing analytical solutions.
• Proficient at least one data analysis language or technology, including SQL, Python, SAS or R.
• Experience designing performance indicators, developing dashboards and visualising data, particularly with Power BI.
• Experience interpreting data, making findings and making business recommendations
• Experience in the financial or banking sector, particularly in commercial financing or process optimisation, an asset.