A.I. Threat & Data Management Engineer

Work Location:

Canada

Hours:

37.5

Line of Business:

Technology Solutions

Pay Details:

We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.

Job Description:

Responsibilities

• Manage TD's Data assets using AI technology to improve data quality, analysis, and decision-making.
• Leverage advanced analytics methods and technologies—such as machine learning, statistics, optimization, spatial analytics, and AI—to enhance core business processes.

• Contribute to TD's Data science and AI program and deliver advanced analytics services
• maintenance of a central repository of advanced analytics models and solutions.

• Guide the identification, research, selection, and alignment of technology solutions which meet business and technical requirements for data science and AI.
• Review and approve changes to policies, procedures, and practices related to data science and AI.
• Drive the adoption and integration of machine learning and AI use-cases into regular corporate day-to-day business operations and processes.
• Oversee the management of data science projects from inception to completion. Work closely project stakeholders to define project goals, requirements, deliverables and timelines. This includes allocation of resources, monitor project progress, and mitigate risks, ensuring that projects are delivered on time and within budget.

Qualifications

• Education in Statistics, Computer Science, Engineering or related quantitative fields of study.
• Minimum 5+ years in IT
  • 2+ Years in AI
  • 3+ Years Azure Cloud

• 3+ Years experience in Threat & Data Management
• Extensive experience with PowerBI
• Extensive experience in multidimensional data modeling; star schemas, snowflakes, denormalized models, handling - slow-changing- dimensions/attributes.
• Understanding of disciplined approach towards Data Visualization and Reporting.
• Experience in setting up complex ETL processes, involving relational and non-relational data.

• Proficiency in machine learning and AI technologies.

• Working knowledge of Out-of-the-box AI services provided by cloud providers (e.g. Azure AI services) to accelerate use-cases related to areas such as natural language processing and data-driven decision-making.
• Experience in areas including data science, statistics, machine learning, data analysis, data integrations (ETL), systems design, maintenance and /or coding.

#LI-TECH

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
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