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Data Scientist I

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TD

Aug 20, 2024

  • Job
    Full-time
    Entry, Junior & Mid Level
  • Toronto
  • Quick Apply

AI generated summary

  • You must have data science expertise, knowledge of model explainability, strong collaboration skills, excellent communication, a relevant postgraduate degree, and experience in model development and fairness issues.
  • You will review model development practices, assess regulatory compliance, create training materials, and collaborate with business units to manage modeling risks and compliance throughout the lifecycle.

Requirements

  • Hands-on data science expertise including, but not limited to, machine learning, statistics, and data visualization
  • Experience with/knowledge of methods, techniques and tools to support model explainability and bias/fairness assessments
  • The ability to stay abreast of developments in advanced modeling
  • The ability to effectively collaborate with technical and non-technical stakeholders (e.g., business partners and control partners) across the model development lifecycle and as part of enterprise initiatives
  • Excellent verbal and written communication skills
  • Work effectively as a team to peer review other team member model reviews and share knowledge
  • Establish strong relationships with Business Units, Control Partners, Compliance Units, acting as a primary Compliance contact for model compliance risks
  • Assist with response to regulatory inquiries, examinations and investigations as applicable
  • Quick learner who constantly works on improving skills and expertise
  • Good time management and multitasking skills with minimal supervision
  • Postgraduate degree (preferably in computer science, math, statistics, engineering, or related quantitative field)
  • Relevant experience with model development
  • Demonstrable engagement with the issues of explainability and/or fairness in the context of advanced analytics and modeling

Responsibilities

  • Conduct literature reviews on how to identify, assess, and address modeling risks and associated concerns
  • Evaluate model development procedures and practices
  • Develop training materials and guidelines to help businesses address regulatory compliance throughout the model lifecycle
  • Maintain up-to-date knowledge of techniques and developments in the field of advanced modeling and share knowledge with business partners and senior management
  • Review use cases across TD, and build a close working relationship with business units across the Enterprise. Objectives include:
  • Supporting compliance risk management associated with models used by TD, and
  • Supporting the business in monitoring regulatory compliance and risk mitigation throughout the model lifecycles
  • Assessing models for regulatory compliance
  • Providing oversight and independent challenge to approaches used to identify, assess, and address regulatory compliance risk
  • Supporting the business in monitoring regulatory compliance and removing or mitigating risk throughout the model lifecycle

FAQs

What is the job title for this position?

The job title for this position is Data Scientist I.

Where is this job located?

This job is located in Canada.

What are the working hours for this position?

The working hours for this position are 37.5 hours per week.

What department will the successful candidate be working in?

The successful candidate will be working in the Compliance Oversight of Models Office (COMO) within the Global Compliance Department.

What is the focus of the Compliance Oversight of Models Office?

The focus of the Compliance Oversight of Models Office is to provide regulatory compliance oversight for models, ensuring their fair and transparent application throughout the model lifecycle.

What qualifications are required for this role?

A postgraduate degree in computer science, math, statistics, engineering, or a related quantitative field is required, along with relevant experience in model development.

What skills are essential for this position?

Essential skills include hands-on data science expertise, the ability to collaborate with both technical and non-technical stakeholders, excellent communication skills, and knowledge of model explainability and fairness assessments.

Will there be training provided for this role?

Yes, there will be training and onboarding sessions provided to ensure that new hires have everything they need to succeed in their role.

How does the company support professional development?

The company supports professional development through regular career conversations, training programs, access to an online learning platform, and various mentoring programs.

How does the organization ensure a culture of integrity and compliance?

The organization fosters a culture of integrity and compliance by independently assessing regulatory compliance management programs, providing guidance, and managing regulatory changes.

Can candidates expect to collaborate with other departments?

Yes, candidates can expect to collaborate with various business units and control partners throughout the model development lifecycle.

Is there an opportunity to address ethical concerns in this role?

Yes, this role involves tackling issues related to fairness, ethics, and transparency in the context of advanced modeling and AI.

What can candidates expect in terms of compensation discussions?

Candidates are encouraged to have open discussions with a member of the HR Team regarding compensation details related to this role.

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Mission & Purpose

The Toronto-Dominion Bank & its subsidiaries are collectively known as TD Bank Group (TD). TD is the sixth largest bank in North America by branches & serves approximately 22 million customers in a number of locations in key financial centres around the globe. Over 85,000 TD employees represent the strongest team in banking. Delivering legendary customer experiences is who we are & is part of being the Better Bank. Visit our Careers page to learn more about TD & why TD is a great place to work.