Data Scientist III, TD Auto Finance

TD•Toronto, ON

6d•Onsite

About The Position

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.

Requirements

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.

Nice To Haves

Banking or Auto Finance experience is strongly preferred.
University Degree combined with data science education preferred.

Responsibilities

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.
Build visual aids (i.e. charts, tables, trend analysis, etc.) to relay findings to a wide range of audiences.
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.