Job DescriptionYou will be working on a flexible hybrid schedule as part of Fidelity’s agile working arrangement.Who We AreAt 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.What You’ll DoAs 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 systemsConduct applied research to identify and understand different algorithms and methods for use case developmentCollaborate effectively within agile scrum sessions alongside the Emerging Technology, IS ML Ops teams and business stakeholders to develop and implement high impact business solutionsRapid prototyping of new algorithms/approaches and conducting comparisons with existing algorithms and baselinesModels with unsatisfactory baseline results are constantly revisited to seek improvement – particularly those with a high degree of potential business impactAssist the IS Infrastructure and IS ML Ops teams in designing customized ML environments as neededSupport projects through the documentation, monitoring and version control of modelsWhat We’re Looking ForA completed Master’s Degree in Computer Science, Statistics, Software Engineering or other STEM discipline or equivalent working experienceExperience with data collection, data annotation, and active learningSolid theoretical grounding in core machine learning concepts and techniques2+ years of experience within a data science, artificial intelligence and/or applied machine learning position1+ year of experience with cloud computing is an asset1+ year of experience building production machine learning models, and deploying them to solve inference challenges at scale is an assetStrong understanding of machine learning approaches predictive modelling, supervised and unsupervised learning, genAI, computer vision, etc.AWS Certified Machine Learning and AWS Certified Data Analytics (AWS Certified Data Analytics is an asset)Investment Funds in Canada and/or Canadian Securities Course (CSI)



is an asset1–2 years of experience working with Snowflake, including strong SQL skillsExperience using Git for version control (e.G., GitHub), including branching, pull requests, and code reviewsThe Skills You BringStrong communication skills and the ability to work with diverse stakeholders in team environmentAbility to adapt quickly in the face of change using excellent problem‑solving skills and creativityFamiliarity with popular Python‑based AI/ML libraries (e.G., scikit‑learn, PyTorch, pandas, NumPy, matplotlib) and associated workflowsExperience with deployment of machine learning model pipelines using AWS (e.G., SageMaker)Familiarity with containerization of ML models (Dockers and Kubernetes)SQL skills for querying relational databases (e.G., Oracle, SQL Server, DB2, MySQL)Demonstrated proficiency with deep learning, ensemble‑based methods, NLP, time series analysis, and optimization techniquesCurrent work authorization for Canada is required for all openings.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.Total Rewards That Reflect Your ImpactWe believe exceptional work deserves exceptional recognition. That’s why we offer acompetitive compensation packagedesigned to support your success today—and your financial well‑being tomorrow.Base Salary and Discretionary Performance Bonus – A competitive annual range of $105,000 to $129,000, based on your experience and qualifications.RRSP Contribution – After 6 months of employment, we invest in your future with an RRSP contribution—no employee matching required.We’re proud to offer a compensation package that aligns withprovincial pay transparency requirements .This posting represents anexisting vacancywithin our organization—an opportunity to step into a role where your talents will make a meaningful difference.Some of the ways we’ll help you feel valued and supported as part of our teamFlexible working arrangements – 100% remote, hybrid,



and in‑office optionsCompetitive total compensation, including company contributions to your group RRSP without a matching requirement from youComprehensive health benefits that start on your first day, with 100% employer‑paid premiums, that include up to $5,000 annually for mental health services and therapyParental leave top‑up to 100% of your salary for a period of 25 weeksUp to $650 for home office equipmentGenerous time‑off policy, including 2 paid days annually to volunteer at a charity of your choiceDiversity and inclusion programs, including an active network of Employee Resource GroupsExtensive professional development opportunities, including access to over 11,000 training and development courses, tuition reimbursement, and monetary rewards for completing a required designation.Fidelity Canada is an equal opportunity employerFidelity 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 processFidelity 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 [email protected] .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 followingAwardsCanada’s Top 100 EmployersGreater Toronto’s Top EmployersCanada’s Top Family‑Friendly EmployersCanada’s Top Employers for Young PeopleGreat Place To Work® CertifiedBest Workplaces for InclusionBest Workplaces for Mental WellnessBest Workplaces for Today’s YouthBest Workplaces for WomenBest Workplaces in Financial Services & InsuranceBest Workplaces in OntarioBest Workplaces with Most Trusted Executive TeamsLinkedIn Top Companies in CanadaHuman Resource Director (HRD) – Best Place To WorkHRD – 5‑Star Benefit ProgramHRD – 5‑Star Diversity & Inclusion EmployerDesignationsCanadian Compassionate Companies – CertifiedBenefits Canada’s Workplace Benefits Award – Future of Work StrategyTalentEgg National Recruitment Excellence Award – Special Award for Diversity & Inclusion in RecruitingCanadian HR Reporter’s Most Innovative HR Team#J-18808-Ljbffr

📌 Machine Learning Analyst - C$105,000 - C$129,000 A Year (Toronto)
🏢 Fidelity
📍 Toronto