Applied Machine Learning Scientist II

TD; Ontario; On-site; CAD 125,000 - 154,000; Full time

Job summary

TD is seeking an Applied Machine Learning Scientist II to develop models that bolster fraud detection efforts. This role requires collaboration with various partners and a strong capability in machine learning, statistical analysis, and communication skills, contributing significantly to the organization’s fraud prevention strategies.

Benefits

Health and well-being benefits

Paid time off

Career development programs

Qualifications

• 5+ years of relevant experience preferred.
• Proficient in Python and SQL.
• Experience in fraud modeling preferred.

Responsibilities

• Develop and maintain ML models for fraud detection.
• Collaborate with Model Risk Management for model effectiveness.
• Explore new data features to enhance fraud detection.

Skills

Communication

Analytical skills

Problem-solving

Relationship management

Machine Learning

Statistical modeling

Python

SQL

Technical writing

Education

Undergraduate degree in Science, Technology, Engineering, or Math

Graduate degree (considered an asset)

Tools

Azure Cloud

Azure ML Services

Job description

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Work Location:

Toronto, Ontario, Canada

Hours

37.5

Line Of Business

Analytics, Insights, & Artificial Intelligence

Pay Details

$125,500 - $154,000 CAD

The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description

As an Applied Machine Learning Scientist II you will contribute towards ML evolution at TD. You will be responsible for developing and managing statistical and ML models used to help detect and prevent Fraud at TD.

This role offers an excellent opportunity to apply your technical skills to real world challenges and see your work positively impact colleague and customer experience. You will be expected to work with multiple business partners to advance the use of Machine Learning and AI for Fraud detection at TD.

Key Accountabilities

• Develop, and maintain Machine Learning models to support fraud detection capabilities of TD Bank
• Collaborate with Model Risk Management and other control partners to ensure developed models are effective, stable, and unbiased.
• Explore new data features that can help enrich TD's fraud detection capability
• Develop and support ongoing model monitoring work for the existing model inventory to ensure sustained performance.
• Participate in management committees, employee recognition and volunteer events.
  
  

Job Requirements

Communication & relationship skills:

• Excellent written and verbal communication.
• Comfortable and effective when interacting with wide range of business partners and stakeholders.
• Ability to develop and maintain strong internal relationships with several stakeholders.
• Ability to translate complex/technical terms and concepts into easy-to-understand business language.
  
  

Strategic Thinking & Judgment

• Creative, out-of-the-box thinker, with strong conceptual and problem-solving skills.
• Motivated to constantly strive to find innovative ways to enhance processes and analytical solutions.
• Capable of quickly uncovering potential drivers for model performance variation to inform life-cycle management decisions.
  
  

Technical Competencies

• Demonstrated experience of developing classical and ML-oriented models like Logistic Regression, Lasso and Ridge regularization, bagging and boosting models, and advanced modeling algorithms including neural networks.
• Well-developed analytical abilities: must be comfortable with data and statistics.
• Proficient with Python coding
• Experience with SQL, Azure Cloud and Azure ML Services is an asset
• Fraud modelling experience strongly preferred
  
  

Education & Experience

• Undergraduate degree in Science, Technology, Engineering, Math, or modeling related discipline such as Economics or Finance.
• Graduate degree is considered an asset.
• 5+ years of relevant experience preferred.
  
  

Who We Are

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we deliver legendary customer experiences to over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to the Bank, those we serve, and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers, communities and colleagues.

TD is deeply committed to being a leader in customer experience, that is why we believe that all colleagues, no matter where they work, are customer facing. As we build our business and deliver on our strategy, we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether you’ve got years of banking experience or are just starting your career in financial services, we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs, we’re here to support you towards your goals. As an organization, we keep growing – and so will you.

Our Total Rewards Package

Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information

We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.

Training & Onboarding

We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process

We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation

Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec Only)

Sans Objet

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Other

• Industries

  Banking

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