TD Bank

Data Scientist I

Job description

TD Description

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Department Overview

The Insurance Analytics and Modelling team provides analytics and predictive models driven advice and counselling service to internal stakeholders, thereby enabling colleagues to have the right information to make business decisions impacting different stages of the insurance cycle and to improve customer journey.

Reporting to the Manager of the Model Factory team, the Data Scientist will be responsible to perform technical development of the model suite of the team, that is to support efforts to maintain the list of existing machine learning models, and working on development of new models applications, techniques and platform. The candidate will need to prioritize the model developments aligned with strategic pillars and in collaboration with stakeholders' priorities. The candidate will need to support and work on the modelling framework in order to increase the team efficiency and improve the modelling life cycle.


Job Description

  • Calibration and Monitoring of the models owned by the team, including the loss cost and customer behavior models, which are heavily used across the organization.
  • Acting on the models unit's mission and priorities, and making sure the unit delivers on the agreed objectives
  • Work independently as a Data Scientist and may manage activities related to analysis, design and support of technical data.
  • Build a strong relationship with our partners; collaborate with different teams to promote understanding of the models and engagement towards a deployment strategy.
  • Utilize multiple sources of data along with broad range of machine learning techniques in order to improve performance and interpretability of the models.
  • Staying up-to-date on the pricing team's and other partners needs and measure potential benefits of those initiatives
  • Ensuring high quality experiments are developed and tested, and results are replicable by our risk partners
  • Supporting a culture of risk management, compliance and control within modelling and analytics projects.
  • Continuously deepen knowledge of insurance industry practices across multiple disciplines.

Job Requirements

  • 5 or more years of professional experience required
  • Bachelor's degree required
  • Statistics, Mathematics, Actuarial Science, Computer science, predictive models
  • Excellent communication skills, highly adaptable to different stakeholders
  • Excellent programming in different language, including Python, R, Spark
  • Demonstrated experience applying predictive modelling techniques
  • Autonomous and perseverant; demonstrates initiative, creativity and promotes a positive team environment
  • Have strong analytical and problem-solving skills

Inclusiveness

At TD, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. If you require an accommodation for the recruitment/interview process (including alternate formats of materials, or accessible meeting rooms or other accommodation), please let us know and we will work with you to meet your needs.

Job Family

Advanced Analytics & Modelling

Job Category - Primary

Insurance

Job Category(s)

Insurance

Hours

35

Business Line

TD Insurance

Time Type

Full Time

Employment Type

Regular

Country

Canada

**Province/State (Primary)

Quebec

City (Primary)

Montreal

Work Location

320 Front Street Insurance, 50 Boulevard Cremazie West

ProvState 2

Ontario

City(s) 2

Toronto

Job Expires

31-Jan-2022

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