Work Location:
Toronto, Ontario, Canada

Hours:
37.5

Line of Business:
Analytics, Insights, & Artificial Intelligence

Pay Details:
$108,800 - $163,200 CAD

This role is eligible for a discretionary variable compensation award that considers business and individual performance.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

• Work closely with business owners to identify opportunities and serve as an ambassador for data science.
• Be familiar with the business context and data infrastructure and can translate business problems to viable data science solutions.
• Use a wide range of programing languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data.
• Visualize insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding.
• Collaborate with other partners, such as data and business analysts, software engineer, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business.
• Provide deep technical leadership and expertise to support and define future direction in one or more specialized areas or lead strategic development efforts on new or emerging data science related projects.
• Play a lead role on cross functional teams of data scientists, data analysts, data engineers, and business process owners to build cutting edge analytic solutions.

• Provide analytical thought leadership and staying current on developments in data mining and the application of data science.
• Provide thought leadership and/or broad industry knowledge across multiple business / functional areas or across the enterprise.
• Apply industry / analytical expertise to provide innovative and sound solutions that increase business results and/or minimizes risk.
• Identify new analytical trends / data needs and repeatable analytic solutions and works with stakeholders to generate hypothesis and create analytical models that help answer impactful business questions.
• Protect the interests of the organization - identify and manage risks, and escalate non-standard, high risk activities as necessary.
• Accountable for creating and implementing processes and systems to extract knowledge or insights from data of various forms either structured or unstructured.
• Employ techniques and theories drawn on many fields within the broad areas of mathematics and statistics.
• Adhere to enterprise frameworks or methodologies that relate to activities for our business area.
• Participate in cross-functional / enterprise / initiatives as a subject matter expert helping to identify risk / provide guidance for complex situations.
• Lead / facilitate and/or implement actions / remediation plans to address performance / risk /governance issues.
• Actively manage relationships within and across various business lines, corporate and/or control functions and ensure alignment with enterprise and/or regulatory requirements.
• Keep abreast of emerging issues, trends, and evolving regulatory requirements and assess potential impacts.
• Maintain a culture of risk management and control, supported by effective processes in alignment with risk appetite.

• Participate fully as a member of the team, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ points of interest.
• Provide thought leadership and/ or industry knowledge for own area of expertise in own area and participate in knowledge transfer within the team and business unit.
• Keep current on emerging trends/ developments and grow knowledge of the business, related tools and techniques.
• Participate in personal performance management and development activities, including cross training within own team.
• Keep others informed and up to date about the status / progress of projects and / or all relevant or useful information related to day-to-day activities.
• Contribute to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
• Lead, motivate and develop relationships with internal and external business partners / stakeholders to develop productive working relationships.
• Contribute to a fair, positive and equitable environment that supports a diverse workforce.
• Act as a brand ambassador for your business area/function and the bank, both internally and/or externally
• Potential of people leadership, overseeing a team of data scientist.

• Deliver advanced analytical capabilities above and beyond existing methods.
• Exceptionally lead and run analytical projects autonomously and create and effectively deliver analytical presentations for executive audiences/stakeholders.
• Showcase advance level peer leadership, impact and influence partner, and may mentor / coach peers.
• Extensive understanding of the business supported and the overall bank with deep expertise and highly specialized knowledge of analytical concepts and techniques.
• Act as a key business partner, guide and collaborate with business leaders to prioritize and identify key business needs and provide impactful analytical insights.

• Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience or
• 7+ year of relevant experience; higher degree education and research tenure can be counted.