Machine Learning Analyst

Job Description

Please note:

Current work authorization for Canada is required for all openings.

You will be working on a flexible hybrid schedule as part of Fidelity’s 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, we’ve 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 we’re 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 you'll be part of a diverse and dedicated group of people who make a real difference for our clients and communities every day. You'll have a wide range of opportunities to grow and develop your career in an inclusive environment where you'll 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 role’s success will be the individual's 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 You’ll 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…