Data Scientist III, TD Auto Finance

Job summary

The Data Scientist will develop predictive models and financial reports to provide quantitative insights and value-added information to business stakeholders. They will collaborate with various teams to optimize analytical processes and communicate findings through visual aids and presentations.

Job details

Work Location: Toronto, Ontario, Canada Hours 37.5 Line Of Business Analytics, Insights, & Artificial Intelligence Pay Details $96,900 - $136,800 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. Job Description 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! Language Requirement (Quebec Only) Sans Objet

What you’ll do

The Data Scientist will develop predictive models and financial reports to provide quantitative insights and value-added information to business stakeholders. They will collaborate with various teams to optimize analytical processes and communicate findings through visual aids and presentations.

Requirements

Candidates need at least 5 years of experience in data science, specifically building machine learning models in Python or R. A university degree and experience in banking or auto finance are strongly preferred.

Benefits

• Health And Well-being Benefits • Savings And Retirement Programs • Paid Time Off • Banking Benefits And Discounts • Career Development • Reward And Recognition Programs

Listed skills

• Data visualization · Preferred
• SQL · Preferred
• Tableau · Preferred
• Microsoft Excel · Preferred
• Machine learning · Preferred
• Relationship Building · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Predictive Modeling
• Machine Learning
• Python
• R
• SQL
• Tableau
• Excel
• Data Mining
• Data Visualization
• Financial Modeling
• Statistical Modeling
• Relationship Building
• Presentation Skills
• Data Reconciliation
• Quantitative Analysis

Job areas

• Data & Analytics
• Finance & Accounting
• Technology
• Science & Research
• Engineering