Data Scientist I

2 weeks ago

Toronto, Ontario, Canada TD Bank Full time
398169BR

Risk Management

Toronto, ON

February 2, 2023

Company Overview

Department Overview

Company Overview

Department Overview


The group is hiring a full-time Data Scientist to develop, enhance, and implement state-of-the-art machine learning (ML) models with a focus on credit risk modeling.


Detailed responsibilities are as follows:

  • You use various machine learning algorithms combined with big data techniques to create robust, high performance, and scalable models.
  • You play a key role in project activities and deliverables that require collaboration and communication with a variety of stakeholders and team members.
  • You provide technical leadership on the projects you work on and offer mentorship to more junior members of the team.

Requirements:

Post graduate degree in a quantitative field, such as Computer Science, Physics, and Mathematics with strong publication records.

  • A deep knowledge of machine learning and statistical learning algorithms, supervised learning, and unsupervised learning dealing with heavily imbalanced datasets.
  • Have a deep understanding of treebased techniques such as XGBoost and be familiar with the concepts of model explainability.
  • Strong programming skills in Python, PyTorch, and PySpark.
  • Comfortable in version control tools such as Git and knowledge of cloud environments such as Microsoft Azure.
  • Experienced in working in Big Data Analytical environments/technologies (Hadoop, HIVE, Spark), with a deep understanding of data mining and analytical techniques.
  • Experienced in working with relational databases.
  • Strong knowledge of economics, financial services, and banking products. Working knowledge of capital and/or retail credit risk is preferred.
  • Outofthebox thinker who seek out innovative solutions and embrace evolving technologies.
Additional Information

LI-Hybrid

Hours

37.5

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.

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