Data Scientist II

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Hours:

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Pay Details:

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:

About this Role

Are you passionate about analytics and working with big data? Want to drive change and become a subject matter expert in fraud management? If so, join the Canadian Fraud Performance Management Team.

You would be responsible for mining big data to discover actionable fraud insights, and to develop and implement fraud strategies in a fast paced environment. You would manage evolving fraud threats while taking into consideration TD risk appetite, Customer and operational experience. With strong technical, analytics background you would join the team to learn and manage 1st and 3rd party fraud.

Accountabilities

Fraud Management

• Develop and deploy product and channel-specific fraud strategies to reduce fraud risk balancing loss, Customer experience and operational capacity

• Identify new fraud vectors and optimize existing rules using SQL, Python, and fraud authentication solutions

• Conduct intra-day and weekly monitoring across products, channels, and risk segments

• Provide ad-hoc analysis to support decision-making at the executive level

• Continually optimize, improve, and strengthen fraud strategy and analytics capabilities

• Independently investigate new, high-risk fraud threats under tight timelines

Job Requirements

• Advanced proficiency in SQL, Python for data analysis, automation, and reporting

• 2+ years of hands-on experience in an analytical capacity

• Motivated to constantly strive to find innovative data-informed ways to enhance capabilities

• In-depth knowledge of data science tools such as NumPy, pandas, matplotlib or R equivalent

• Ability to communicate strategy analysis to both technical and non-technical team members

• Passion and drive to take initiative and work independently under tight timelines

• Ability to effectively manage multiple work streams and tasks at the same time

• Undergraduate degree from a technical domain (e.g. computer science, engineering, mathematics, or statistics)

Preferable

• Experience in fraud management is an asset

• Machine learning development and deployment is an asset

• Automation experience is an asset

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 strive to make every interaction, product, and experience remarkably human and refreshingly simple for 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 foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

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.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

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):