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Connor, Clark & Lunn Financial Group (CC&L)

Verified Job Source

Creating Conditions for Success

Toronto, Ontario

Financial Services
1,001–5,000 people

About

At Connor, Clark & Lunn Financial Group, we understand the value of opportunity for both our clients and our team. Independent and employee-owned, we partner with investment professionals to grow successful asset management businesses, giving them the space to innovate and truly make an impact. With more than 40 years of history and offices across Canada and in the US, the UK and India, CC&L Financial Group and our multi-boutique family of affiliate firms manage over C$222 billion in assets and offer a diverse range of traditional and alternative investment products and solutions to institutional, high-net-worth and retail clients. A career here can look different for everyone, but every path is rooted in our commitment to invest in our greatest asset – you. We prioritize community, personal growth and recognition to create an environment where you can thrive. For more information on building your career with us, visit our website.

Open positions

Data Analyst

Hybrid · Vancouver

The Data Analyst will build integrated, scalable data solutions and collaborate with stakeholders to analyze data across enterprise systems. They are responsible for supporting system integrations, improving data quality, and documenting technical processes to drive business decision-making.

Data Analyst, Investment Data Management

Hybrid · Vancouver

The Data Analyst will maintain and validate equity, fixed income, and derivative data across multiple systems to support investment modeling and trading. They are also responsible for managing data-quality exceptions, resolving operational issues, and identifying process improvements to increase efficiency.

Data Analyst, Investment Data Management

Hybrid · Toronto

The Data Analyst will maintain and validate equity, fixed income, and derivative data across multiple systems to support investment modeling and trading. They are also responsible for managing data-quality exceptions, resolving operational issues, and identifying process improvements to increase efficiency.