Data Scientist, TD Auto Finance

Job Description

Reporting to the Senior Manager – Analytics & Information Management – the Data Scientist will engage with all levels of the TD Auto Finance team and utilize their skills to provide value added information to business stakeholders.

• Work with business partners on initiatives and projects. Provide consultation and recommendations by highlighting impacts from a quantitative point of view.
• Pro-actively identify opportunities for the business to maximize shareholder value through provisioning of analytics discovery and business insights.
• Support a positive work environment that promotes service to the business, quality, innovation, and teamwork; ensure timely communication of issues/ points of interest.
• Manage, update, and maintain financial models and profitability reports for consumption of product partners. Liaison with a variety of teams (TBSM, Capital, Risk, Finance) to understand changes to financial variables and their impact to the model's output.
• Ensure integrity of data, reconciling data sources, and developing quality checks. Continually optimize, improve, and strengthen business analytical process and framework.
• Pro-actively identify opportunities for the business to maximize shareholder value through provisioning of analytics discovery and business insights.
• Provide consultation and recommendations by highlighting impacts from a quantitative point of view. Build visual aids (i.e. charts, tables, trend analysis, etc.) to relay findings to a wide range of audiences.
• Support a positive work environment that promotes service to the business, quality, innovation, and teamwork; ensure timely communication of issues/ points of interest.
• Provide ad hoc support to Senior Manager in strategic and tactical initiatives as required.
• Establish and maintain productive working relations with all stakeholders.
• Continuously acquire and enhance knowledge of auto lending business, market insights and advanced analytical tools to best provide business solutions to product partner

Experience & Qualifications

• The ideal candidate would have extensive work experience building predictive models with machine learning methods in Python or R.
• Experience combining data from different databases. Experience discovering and understanding new data elements by utilizing metadata and testing.
• Strong relationship building skills, ability to collaborate effectively with teams across TDAF and the Bank.
• Experience in data mining, financial models and data visualization tools (SQL, Tableau, and Excel).
• Experience building presentations and presenting the findings to upper management.
• Minimum 5 years in an analytical/data science role.
• Demonstrated experience of developing and implementing statistical models (predictive & descriptive)
• Demonstrated experience in delivering high quality, high impact analytical solutions to business problems
• Banking or Auto Finance experience is strongly preferred.
• University Degree combined with data science education preferred.

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!

Key skills/competency

• Predictive Modeling
• Machine Learning (Python/R)
• Data Integration
• SQL
• Tableau
• Excel
• Financial Modeling
• Data Visualization
• Business Insights
• Stakeholder Management