Intern, Retail Portfolio Operations

Connor, Clark & Lunn Financial Group Ltd.; Toronto; Vor Ort; CAD 50.000 - 60.000; Vollzeit

Benefits dieser Stelle

Flexible work practices

Professional development support

Competitive compensation and benefits

Zusammenfassung

Connor, Clark & Lunn Financial Group Ltd. in Toronto is seeking a Retail Portfolio Operations Intern for an 8-month term (January-August 2027) to support portfolio data, system maintenance, and operational reporting.

The role offers hands-on experience in investment operations within a collaborative, entrepreneurial environment. You will engage in process improvement, data analysis, and technology-driven initiatives, including AI-enabled tools, with a focus on accuracy and timely delivery in a

Qualifikationen

• Currently pursuing or recently completed an undergraduate degree in Business, Finance, Economics, Accounting, Data Analytics, Computer Science, or a related field.
• Completion of the Canadian Securities Course is considered an asset.
• Strong attention to detail and ability to work with large data sets while maintaining accuracy.
• Demonstrated problem-solving skills and an interest in understanding business processes.
• Ability to learn quickly, prioritize competing tasks, and work in a fast-paced environment.
• Proficiency with Microsoft Office applications, particularly Excel.
• Interest in leveraging technology to improve operational processes.
• Familiarity with AI tools (such as Microsoft Copilot, ChatGPT, Power Automate, or similar technologies) is considered an asset.
• Experience with data analysis, visualization, process mapping, or automation tools is considered an asset.
• Demonstrated willingness to learn new concepts, systems, and processes.
• Interest in continuous improvement and operational excellence
• Strong interpersonal and communication skills.
• Ability to work effectively both independently and as part of a team
• Previous internship, co-op, volunteer, academic project, or work experience in financial services, operations, technology, or data analysis is considered an asset but is not required.
• We welcome candidates who are eager to learn and develop their careers in investment management.
• We are curious about emerging technologies and motivated to explore how artificial intelligence, automation, and data-driven insights can improve operational processes and client experiences.

Aufgaben

• Assist with maintaining and reconciling client portfolio data.
• Support the maintenance of operational systems and data used across portfolio administration, trade management, and reporting platforms.
• Assist with quarter-end fee processing and related operational activities.
• Respond to routine inquiries from custodians and internal business partners under guidance from team members.
• Prepare recurring and ad hoc reports for operational and management purposes.
• Support account transfer processing and documentation activities.
• Participate in operational improvement initiatives and special projects.
• Assist with process documentation and workflow reviews.
• Contribute ideas for improving efficiency through technology, automation, and AI-enabled tools.

Kenntnisse

Data analysis

Automation tools

AI tools

Excel proficiency

Communication skills

Teamwork

Attention to detail

Problem solving

Learning agility

Financial services knowledge

Ausbildung

Undergraduate degree in Business or related field

Canadian Securities Course (asset)

Tools

Power BI

CRM systems

Data visualization tools

Automation platforms

Jobbeschreibung

We are looking for a Retail Portfolio Operations Intern to join our Toronto-based Investment Resource Group for an 8-month term (January-August 2027). This role offers an excellent opportunity for a student or recent graduate interested in investment operations, financial services, process improvement, and technology. The successful candidate will gain hands-on experience supporting retail portfolio operations while working alongside experienced professionals in a collaborative and entrepreneurial environment

What You Will Do

• Assist with maintaining and reconciling client portfolio data.
• Support the maintenance of operational systems and data used across portfolio administration, trade management, and reporting platforms.
• Assist with quarter-end fee processing and related operational activities.
• Respond to routine inquiries from custodians and internal business partners under guidance from team members.
• Prepare recurring and ad hoc reports for operational and management purposes.
• Support account transfer processing and documentation activities.
• Participate in operational improvement initiatives and special projects.
• Assist with process documentation and workflow reviews.
• Contribute ideas for improving efficiency through technology, automation, and AI-enabled tools.

What You Bring

• Currently pursuing or recently completed an undergraduate degree in Business, Finance, Economics, Accounting, Data Analytics, Computer Science, or a related field.
• Completion of the Canadian Securities Course is considered an asset.
• Strong attention to detail and ability to work with large data sets while maintaining accuracy.
• Demonstrated problem-solving skills and an interest in understanding business processes.
• Ability to learn quickly, prioritize competing tasks, and work in a fast-paced environment.
• Proficiency with Microsoft Office applications, particularly Excel.
• Interest in leveraging technology to improve operational processes.
• Familiarity with AI tools (such as Microsoft Copilot, ChatGPT, Power Automate, or similar technologies) is considered an asset.
• Experience with data analysis, visualization, process mapping, or automation tools is considered an asset.
• Demonstrated willingness to learn new concepts, systems, and processes.
• Interest in continuous improvement and operational excellence
• Strong interpersonal and communication skills.
• Ability to work effectively both independently and as part of a team
• Previous internship, co-op, volunteer, academic project, or work experience in financial services, operations, technology, or data analysis is considered an asset but is not required. We welcome candidates who are eager to learn and develop their careers in investment management.
• We are looking for individuals who are curious about emerging technologies and motivated to explore how artificial intelligence, automation, and data-driven insights can improve operational processes and client experiences.

The salary range for this position is $50,000 - $60,000 CDN annualized. The salary range provided reflects the base salary range for this position as required by legislation. Further questions may be directed to the HR team during the interview process.

What We Offer

At Connor, Clark & Lunn Financial Group, we’re "invested in our greatest asset, you". Our shared goals reflect what matters most to our people:

• Your community: we foster belonging through collaboration, inclusion and flexibility. Enjoy social events, volunteering and a strong commitment to corporate social responsibility. Our flexible work practices are designed to support work-life balance and provide employees with flexibility in where and how they work
• Your growth: we prioritize your development with meaningful work, continuous learning budgets, paid study days and support for professional designations.
• Recognizing you: your contributions are rewarded with competitive total compensation, retirement savings support, wellness credits, enhanced parental leave, and comprehensive health benefits.

For a closer look at how you can build your career with us, we invite you to explore cclgroup.com.

We are committed to providing an inclusive, accessible recruitment and selection process. We welcome and encourage applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process. Please contact [e-mail] if you require accommodation.

AI may be used to support certain stages of our screening & recruitment process. These tools support, but do not replace, human judgment and decision-making.