Senior Manager, Everyday Banking Data Science

Key Skills

Apache Hadoop, Apache Hive, Big Data Technology, Framework, Keras software library, MapReduce, Python Programming, PyTorch, R Programming, Scikit-learn, SQL, TensorFlow

Job Description

Our Vision is to be Canadians’ leading choice for all payment and everyday banking activities, extending our market leading position through superior value, innovation, and differentiated experiences that drive acquisition and engagement.

In this role, you will play a pivotal role in shaping the future of consumer banking through cutting-edge Machine Learning solutions. Join us and make a tangible difference in the lives of our customers by developing innovative solutions that deliver personalized client experiences and optimize value.

What will you do?

• Conceptualize, design and implement state-of-the-art ML models for client acquisition, behaviour-based segmentation, portfolio management, product analysis and engagement strategies. This includes experiment design, profitability modelling, clustering modeling, balance forecasting, data mining, and machine learning.

• Develop, implement and deploy machine learning models that leverage unique combination of user behaviours, product ownership, client characteristics and millions or transactional data to improve consumer value from our product.

• Work collaboratively with the Banking and Payments leadership team, and other analytics teams across the organization to enhance business decision-making using advanced models. Ensure solutions align with strategic objectives and deliver real-world impact.

• Create materials to communicate efficiently the purposes, results, use case and limitations of model. Work effectively with key stakeholders throughout the ideation, experiment design, data mining, model selection, model development, results communication, model refresh lifecycle.

• Design, analyze and troubleshoot controlled experiments to validate your solution and measure their effectiveness.

What do you need to succeed?

Must have:

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Behavioral Economics, Engineering, or other quantitative field of study.

• 4+ years of experience building advanced models in a business context, including but not limited to cluster analysis, regression, recommendation system, pattern recognition, data mining, or other ML techniques and frameworks, eg. Data discretization, normalization, sampling, linear regression, decision trees, KNN, K-means.

• Proficient in modeling using SQL, Python or R. Intermediate data engineering skill set with tools, libraries, or frameworks such as MapReduce, Hadoop, Hive and Big Data technologies, scikit-learn, Keras, TensorFlow, Pytorth etc.

Nice to have:

• MBA or other business education

• Strong verbal and written communication skills

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• Ability to make a difference and lasting impact

• Work in a dynamic, collaborative, progressive, and high-performing team

• Opportunities to do challenging work

Job Skills

Commercial Acumen, Critical Thinking, Financial Planning and Analysis (FP&A), Group Problem Solving, Interpersonal Relationship Management, Product Services