Job Description

TD Description

Tell us your story. Don't go unnoticed. Explain why you're a winning candidate. Think "TD" if you crave meaningful work and embrace change like we do. We are a trusted North American leader that cares about people and inspires them to grow and move forward.

Stay current and competitive. Carve out a career for yourself. Grow with us. Here's our story:

Department Overview

What does TD stand for? For starters, we believe in visionary leadership and insights. We believe in using every resource at our disposal to better serve our clients, and for almost every department, that begins with data.

As part of our Data and Analytics team, you'll be a fundamental part of crafting business processes enterprise-wide by analyzing vast amounts of past and present data.

TD's vision for the future? Tailored, customized banking products, services and experiences for every single customer. If you've been in business as long as we have, you know there's no such thing as one size fits all, and a diverse, inclusive Data Analytics team is a massive part of that future achievement.

Job Requirements

What can you bring to TD? Tell us about your most relevant experience, credentials and knowledge for this role, as well as these essential requirements and attributes:

• Ability to translate business requirements into technical and analytical tasks
• Demonstrated track record of leading major data science projects [or demonstrate ability]
• Technical understanding and critical thinking to challenge status quo
• Strong problem-solving skills, mathematical and data literacy
• Flexibility to adapt and run with contending priorities and the ability to shift focus as dynamic business needs evolve
• Strong interpersonal and communication skills, both written and verbal ability to tell a compelling story which can be consumed by business partners/executives
• Demonstrated experience in data transformation and data manipulation.
• Aspirations to build in-depth industry and retail banking knowledge including current trends in data, analytics and technology
• Master's degree or PhD in relevant fields; Mathematics, Physics, Biotech, Computer Engineering, Electrical Engineering, Geomatics
• Expert proficiency with industry data tools; python/Ruby, R, SQL and Scala, cloud architecture
• Strong understanding of data manipulation and visualization techniques, with preference to Esri - ArcGIS, Alteryx, SQL and Excel
• Experience with big data tools, such as SCALA, SPARK, HADOOP, HDFS, HIVE, etc.
• Experience with machine learning including supervised and unsupervised models.

Hours

37.5



Delivery

• Broad technical skills in all facets of data science: advanced analytics, statistical modelling, machine learning & data engineering
• Build complex statistical models that learn from and scale to petabytes of data.
• Parse vast data, identify needs and analytics trends, employs industry leading techniques and theories to improve business practices across the enterprise
• Provide insight into leading analytic practices, designs and leads iterative learning and development cycles, and ultimately produce new and creative analytic solutions that will become core deliverables
• Accountable to lead & deliver complex, Agile, cross-functional projects that range widely in design, size, scale, scope and techniques
• Self-directed with the ability to progress strategic opportunities in down times and effectively prioritize in busy times

Expertise & Leadership

• Analytical thought leadership and stay current on developments in data mining and the application of data science
• Serve as an authority on a given business domain and provide business expertise to place context around analytics discovery
• A champion in the D&A community for TD's platforms and strategies, scanning for cutting edge solutions, and proactively identifying opportunities to advance tools, techniques and approaches
• Communication and Stakeholder Management
• Work closely with stakeholders to identify opportunities, implement solutions, and serve as an ambassador for data science across the enterprise
• Advanced communication, business acumen and stakeholder management competencies
• Collaborate with support functions such as risk, technology, model validation, OCDO etc. to increase the velocity of data science by enhancing policies, protocols & procedures within TD's risk appetite
• Exceptional collaborator in a high-interaction environment
• Foresee needs from business partners to prescribe effective solutions
• Leverage empirical evidence and facts to influence/support decision making
• Collaborate with business partners to inform analytics output, support strategic planning, and prioritize key initiatives
• Take ownership of team targets and strategies such as value generation and contribute to the overall management and culture of the team

Inclusiveness

At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

Additional Information

#datascientist #LI-Hybrid

Locations:
Toronto
Montreal
Markham
London
Ottawa

• L7- L10

Business Line

Corporate

Job Category - Primary

Enterprise Data & Analytics

Job Category(s)

Enterprise Data & Analytics

Job Family

Advanced Analytics & Modelling

Time Type

Full Time

Employment Type

Regular