Vanguard Canada

www.vanguard.ca

2 Jobs

53 Employees

About the Company

Putting investors first since 1975:

We sell high-quality investment products at the lowest possible price. This is the core of our investment philosophy because we think it's essential to your investment success.

Unique structure:
Vanguard was founded on a simple but revolutionary idea: that an investment company should be run for the sole benefit of its investors.
At Vanguard, we don't have any outside owners, so we don't need to worry about a stock price or about generating profits for outside owners. This helps us keep costs low, so more of your money stays in your pocket--where it belongs.

A pioneer in the industry:
30 million investors worldwide trust us with over $7 trillion of their savings. Together we're changing the way the world invests.

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Terms: https://www.vanguard.ca/en/website-terms-of-use

Listed Jobs

Company Name: Vanguard Canada
Job Title: Machine Learning Engineer, Specialist
Job Description: **Job Title:** Machine Learning Engineer, Specialist **Role Summary:** Develops and deploys AI/ML solutions to drive data-driven business strategies, focusing on scalable analytics pipelines, model optimization, and cross-functional collaboration to enhance sales, client targeting, and operational efficiency. **Expectations:** - 8+ years in machine learning engineering or data science roles. - Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI/ML, or related fields. **Key Responsibilities:** - Design, develop, and optimize end-to-end data pipelines for large-scale analytics and AI-driven solutions. - Build, deploy, and monitor machine learning models in production environments to automate predictive systems. - Conduct advanced statistical analysis and data mining to derive actionable business insights. - Partner with cross-functional teams to define requirements, validate data quality, and integrate ML models into business processes. - Create model monitoring scripts, diagnose performance anomalies, and resolve technical issues. - Apply experimental methodologies and probability theory to improve decision-making frameworks. - Contribute to strategic initiatives by translating business needs into technical specifications and hypotheses. - Stay updated on emerging ML methodologies and Big Data technologies to enhance analytical capabilities. **Required Skills:** - Expertise in data pipeline development, statistical modeling, and machine learning algorithms. - Proficiency in programming languages (e.g., Python/Java) and ML frameworks (e.g., TensorFlow/PyTorch). - Strong understanding of SDLC, model deployment architectures, and cloud computing tools. - Experience with data discovery tools and database systems (SQL/NoSQL). - Stakeholder communication and collaboration skills for requirements analysis and cross-team project execution. **Required Education & Certifications:** - Bachelor’s degree (or Master’s) in Computer Science, Data Engineering, AI/ML, or equivalent technical field. - Demonstrated expertise in AI/ML model development and production deployment.

Company Name: Vanguard Canada
Job Title: Business Development Associate
Job Description: Job Title: Business Development Associate Role Summary: Provide sales support to hybrid and external sales executives in the wealth and asset‑management sector by coordinating meetings, maintaining client data in CRM systems, responding to client inquiries, and conducting research to strengthen advisor relationships. Expectations: Early‑career professional with 1‑2+ years of relevant experience or internships, strong communication and analytical skills, and proficiency in CRM tools. Able to manage administrative tasks, prioritise follow‑ups, and deliver client‑focused solutions in a hybrid work‑setting. Key Responsibilities: • Coordinate sales meetings, events, and related logistics. • Collect and organise metrics for reporting and performance analysis. • Update, audit, and enhance client and prospect data in Microsoft Dynamics or similar CRM. • Respond to routine or moderately complex client inquiries professionally. • Manage administrative tasks, follow‑ups, and client requests to enable sales focus. • Research solutions, analyze performance and market data, prepare summaries or recommendations. • Contribute to special projects, team priorities, and broader sales initiatives. Required Skills: • Excellent written and verbal communication. • Strong organisational and time‑management abilities. • Proficiency with CRM platforms (Microsoft Dynamics preferred). • Analytical and research proficiency. • Customer‑service orientation and ability to work independently in a hybrid environment. Required Education & Certifications: • Undergraduate degree or equivalent combination of training and experience. • 1‑2+ years of relevant work experience (internships and co‑ops acceptable). • Completion of the Canadian Securities Course (preferred). • Knowledge of mutual funds, ETFs, and the Canadian advisor advice channel is advantageous.