Data Scientist I - Toronto, Canada - TD Bank

TD Bank

Verified Company

Toronto, Canada

1 week ago

Posted by:

Sophia Lee

beBee Recruiter

Description

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.