A.I. Threat & Data Management Engineer

740 Progress Avenue

TD

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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:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Colleague Development
If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.
 

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process 
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.


Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Sans Objet
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* Salary range is an estimate based on our InfoSec / Cybersecurity Salary Index 💰

Job stats:  1  0  0

Tags: Analytics Azure Banking Cloud Computer Science Machine Learning NLP SANS Strategy

Perks/benefits: Career development Competitive pay Health care

Region: North America
Country: United States

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