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TD Bank

Data Scientist II

  • Office
  • 0-3 years

Salary

Not stated

Similar roles pay $90K - 110K a year · our estimate

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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 1 st and 3 rd 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.

Conditions

Toronto, Ontario, Canada

Hours:

5

Line of Business:

Analytics, Insights, & Artificial Intelligence

$81,600 - $115,200 CAD

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.

Where you’d work

From the office

About the company

TD Bank

  • Industry: FinTech

Offices in Toronto, Canada, Canada

Also hiring in New York, United States, Charlotte, United States, United States and 5 more places

2 of their 118 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

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  • 1 red flag

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1 red flag

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  • Must-haves
Details11 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • SQL
Type
Full-time
Industry
FinTech
Specialty
Data Science
Region
Canada
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Science
Experience
2+ years
Tech stack
  • Python
  • SQL

Location

Work model
Office
Region
Canada
Offices
  • Toronto, Canada
  • Canada

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
FinTech

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