Machine Learning Analyst

Please note:

• Current work authorization for Canada is required for all openings.
• You will be working on a flexible hybrid schedule as part of Fidelitys dynamic working arrangement.
• This is a full-time regular opportunity.
• The work location for this role is 483 Bay Street in Toronto until approximately late 2026 when the work location will change to the new Mississauga office at 3 Robert Speck Parkway

Who We Are

At Fidelity weve been helping Canadian investors build better financial futures for over 35 years. We offer individuals and institutions a range of trusted investment portfolios and services - and were constantly seeking to find new and better ways to help our clients. As a privately owned company we boldly embrace innovation in all areas as we continue to grow our business into the future.

Working with us means youll be part of a diverse and dedicated group of people who make a real difference for our clients and communities every day. Youll have a wide range of opportunities to grow and develop your career in an inclusive environment where youll feel valued and supported to be your best - both personally and professionally.

Fidelity Investments Canada is looking for a highly motivated and creative Machine Learning Analyst to Fidelity Investments Canada is looking for a highly motivated and creative Machine Learning Analyst to develop innovative AI/ML solutions to complex business challenges. Critical to the roles success will be the individuals penchant for continuous learning and a laser focus on delivering practical applications in a quickly evolving technical environment. As an ML Analyst you will be collaborating with an interdisciplinary team that leverages large datasets using highly scalable computational resources to deliver end-to-end AI/ML based projects. You will be responsible for conducting exploratory data analysis data pre-processing and transformation developing ML algorithms and assisting with deployment using both on-premise and cloud-based platforms.

What Youll Do

As an ML Analyst you will be collaborating with an interdisciplinary team that leverages large datasets using highly scalable computational resources to deliver end-to-end AI/ML based solutions. You will be responsible for conducting exploratory data analysis data pre-processing and transformation developing ML algorithms and assisting with deployment using both on-premise and cloud-based platforms.

• Develop machine learning-based software solutions using open source and proprietary software systems.
• Conduct applied research to identify and understand different algorithms and methods for use case development.
• Collaborate effectively within agile scrum sessions alongside the Emerging Technology IS ML Ops teams and business stakeholders to develop and implement high-impact business solutions.
• Rapid prototyping of new algorithms/approaches and conducting comparisons with existing algorithms and baselines.
• Iterate on model performance through error analysis benchmarking feature refinement prompt evaluation and comparison against baseline approaches.
• Assist the IS Infrastructure and IS ML Ops teams in designing customized ML environments as needed.
• Support projects through the documentation monitoring and version control of models.
• Develop and evaluate Generative AI and Large Language Model solutions including prompt engineering retrieval-augmented generation document intelligence summarization classification and conversational AI use cases.
• Work with enterprise data platforms such as Snowflake to prepare query transform and analyze structured and unstructured data for AI/ML and Generative AI use cases.
• Explore and prototype solutions using Snowflake Cortex and related cloud AI services where appropriate.

What Were Looking For

• A completed Masters Degree in Computer Science Statistics Software Engineering or other STEM discipline or equivalent working experience.
• Experience with data collection data annotation and active learning.
• Solid theoretical grounding in core machine learning concepts and techniques.
• 2 years of experience within a data science artificial intelligence and/or applied machine learning position.
• 1 year of experience with cloud computing is an asset.
• 1 year of experience building production machine learning models and deploying them to solve inference challenges at scale is an asset.
• Strong understanding of machine learning approaches including predictive modelling supervised and unsupervised learning NLP Generative AI / Large Language Models and model evaluation.
• AWS Certified Machine Learning and AWS Certified Data Analytics are assets.
• Investment Funds in Canada and/or Canadian Securities Course (CSI) is an asset.
• 12 years of experience working with Snowflake including strong SQL skills data transformation query optimization and familiarity with Snowflake Cortex or other native AI/ML capabilities.
  Expands the existing Snowflake requirement.
• Experience using Git for version control including GitHub branching pull requests and code reviews.
• Practical experience with Generative AI / Large Language Model workflows such as prompt engineering retrieval-augmented generation embeddings vector search model evaluation or orchestration frameworks such as LangChain LlamaIndex or similar tools.
• Familiarity with responsible AI practices including model governance privacy explainability hallucination mitigation and secure handling of enterprise data.

The Skills You Bring

• Strong communication skills and the ability to work with diverse stakeholders in a team environment.
• Ability to adapt quickly in the face of change using excellent problem-solving skills and creativity.
• Familiarity with popular Python-based AI/ML libraries such as scikit-learn PyTorch pandas NumPy matplotlib and associated workflows.
• Experience with deployment of machine learning model pipelines using AWS such as SageMaker.
• Familiarity with containerization of ML models including Docker and Kubernetes.
• Strong SQL skills for querying and transforming data across cloud data platforms and relational databases including Snowflake and traditional platforms such as Oracle SQL Server DB2 or MySQL.
  Replaces: SQL skills for querying relational databases
• Demonstrated proficiency with deep learning ensemble-based methods NLP time series analysis and optimization techniques.
• Familiarity with LLM application development patterns including prompt design retrieval pipelines embeddings semantic search and evaluation of generated outputs.
• Ability to translate business problems into practical AI/ML or Generative AI solutions while balancing technical feasibility business value and risk considerations.

Total Rewards That Reflect Your Impact We believe exceptional work deserves exceptional recognition. Thats why we offer a competitive compensation package designed to support your success todayand your financial well-being tomorrow.

For this role your total rewards include

• Base Salary and Discretionary Performance Bonus: A competitive annual wage range of $105000 to $129000 based on your experience and qualifications.
• RRSP Contribution After 6 months of employment we invest in your future with an RRSP contributionno employee matching required.

Were proud to offer a compensation package that aligns with provincial pay transparency requirements.

Some of the ways well help you feel valued and supported as part of our team:

• Flexible working arrangements - 100% remote hybrid and in office options
• Competitive total compensation including company contributions to your group RRSP without a matching requirement from you
• Comprehensive health benefits that start on your first day with 100% employer-paid premiums that include up to $6000 annually for mental health services and therapy
• Parental leave top-up to 100% of your salary for a period of 25 weeks
• Up to $650 for home office equipment
• Generous time off policy including 2 paid days annually to volunteer at a charity of your choice
• Diversity and inclusion programs including an active network of Employee Resource Groups
• Extensive professional development opportunities including access to over 11000 training and development courses tuition reimbursement and monetary rewards for completing a required designation

We care a lot about fostering a compassionate people-centric culture and are proud to have been named one of Canadas Top 100 employers for the last five years.

We use AI-enabled LinkedIn Hiring Assistant to support parts of our sourcing process. Every hiring decision is reviewed and finalized by our recruiters. If you choose to ask questions to the LinkedIn HR Hiring Assistant please be mindful that the responses are not official and must be confirmed for accuracy and completeness by Fidelity. If you are selected for an interview the recruiter who contacts you can best answer your questions.

Fidelity Canada is an equal opportunity employer

Fidelity Canada is committed to fostering a diverse and inclusive workplace. We will consider all qualified applicants for employment regardless of race color religion sex sexual orientation gender identity or expression national or ethnic origin age disability family status protected veterans status Aboriginal/Native American status or any other legally-protected ground.

Accommodation during the application process

Fidelity Canada welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in the selection process. If you require an accommodation please email us at .

No telephone inquiries or agencies please. We thank all applicants for their interest please be advised that only those selected for an interview will be contacted.

Why Work at Fidelity

We are proud to be recipients of the following:

Awards

Canadas Top 100 Employers
o Greater Torontos Top Employers
o Canadas Top Family-Friendly Employers
o Canadas Top Employers for Young People

Great Place To Work Certified
o Best Workplaces for Inclusion
o Best Workplaces for Mental Wellness
o Best Workplaces for Todays Youth
o Best Workplaces for Women
o Best Workplaces in Financial Services & Insurance
o Best Workplaces in Ontario
o Best Workplaces with Most Trusted Executive Teams

LinkedIn Top Companies in Canada

Human Resource Director (HRD) - Best Place To Work
o HRD - 5-Star Benefit Program
o HRD - 5-Star Diversity & Inclusion Employer

Designations
Canadian Compassionate Companies Certified
Benefits Canadas Workplace Benefits Award - Future of Work Strategy
TalentEgg National Recruitment Excellence Award - Special Award for Diversity & Inclusion in Recruiting
Canadian HR Reporters Most Innovative HR Team