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Lead Data Scientist, Anti-Money Laundering

Toronto, ON
In-person
Full-time
Experienced
Company Benefits
Paid Time Off
Posted today

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$108,800 - $163,200 CADThis 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.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Responsible for collecting data and using wide range of data science techniques, including but not limited to data wrangling, profiling and visualization, statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning.
In addition, Lead Data Scientists provide oversight and consultative advice and guidance to others as the lead or top Data Scientist with enterprise or significant cross business mandate. Role may also evaluate, investigate and identify technical solutions and provide leading-edge techniques and lead innovation to create methodologies to solve a wide array of complex business or enterprise issues.

CUSTOMER

  • 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.

SHAREHOLDER

  • 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.

EMPLOYEE / TEAM

  • 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.

BREADTH & DEPTH:

  • 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.

EXPERIENCE AND / OR EDUCATION

  • 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.

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.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.


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
Competition Number: R_1387858
Company Website: jobs.td.com/

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About TD Bank

About TD Bank

The Toronto-Dominion Bank & its subsidiaries are collectively known as TD Bank Group (TD). TD is the sixth largest bank in North America by branches & serves approximately 22 million customers in a number of locations in key financial centres around the globe. Over 85,000 TD employees represent the strongest team in banking. Delivering legendary customer experiences is who we are & is part of being the Better Bank. Visit our Careers page to learn more about TD & why TD is a great place to work.