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About the Role
Join one of Canada’s top performing asset managers as a Data Analyst on the Investment Data Management (IDM) team. The IDM team manages data processes and quality supporting the investment management business across a wide range of global assets. This role is a fantastic opportunity to be part of a dynamic strategic team whose scope and importance continues to grow enterprise wide, fostering an entrepreneurial spirit and a culture of success.
Responsibilities
- Maintain and validate accuracy of equity/fixed income/derivative data across multiple systems/databases to enable Investment Manager modeling, trading, and risk monitoring.
- Manage and enable scheduled processes for vendor systems, internal and market data transfers, valuation, and benchmarking data inputs to the investment process.
- Deliver timely data signoffs to investment teams; develop and analyze data-quality exceptions and ensure timely resolution.
- Provide analysis on operational needs and ad-hoc data/data-history requests for business partners to support pre- and post-trade portfolio management functions.
- Identify process/workflow improvements to increase operational efficiency, mitigate risk, improve data-quality, and increase service levels.
- Support other operational or engineering staff, senior or managers on ad-hoc tasks and projects.
Requirements
- Degree in Finance, Commerce, Business Administration, Business Operations, or a related field.
- Relevant designation, such as the MBA, CFA, or FRM is an asset.
- 2-6 years of relevant experience in the investment management industry with exposure to securities data, data quality and process management.
- Hands-on experience working with Bloomberg, FTSE, ICE Bond Edge, Charles River and related financial tools, platforms is an asset.
- Possess an analytical mindset and able to break down complex processes into components to logically deduce the root cause of issues in data and technology.
- Collaborative spirit that helps you to work well with others and communicate effectively to team/cross-team members, and upward to key stakeholders.
- Passion for advancing the quality, scale, and efficiency of data processes.
- Ability to take ownership of multiple processes with keen attention to detail.
- Constantly take a critical eye to processes with the goal of finding improvement opportunities.
- Ability to manage multiple projects.
Skills
- Securities data
- Data quality
- Process management
- Bloomberg
- FTSE
- ICE Bond Edge
- Charles River
- Analytical mindset
- Communication
- Attention to detail
Location
- Canada
Work Type
- Hybrid
- Remote
- In-office
Experience Level
- 2-6 years
Education Level
- Degree in Finance, Commerce, Business Administration, Business Operations, or a related field
- MBA
- CFA
- FRM
Salary/Compensations
- $60,000-$90,000
Benefits
- Annual performance bonus
- Social events
- Volunteering opportunities
- Corporate social responsibility
- Flexible work practices
- Work-life balance
- Continuous learning budgets
- Paid study days
- Support for professional designations
- Retirement savings support
- Wellness credits
- Enhanced parental leave
- Comprehensive health benefits
About the Company
- Connor, Clark & Lunn Financial Group Ltd. (CCLFG) manages a wide range of global assets.
- We place a high value on maintaining an entrepreneurial spirit and creating a culture where each of us has opportunities to succeed.
- We are a solution orientated and collaborative team seeking like-minded individuals who thrive in a challenging and dynamic environment.
- 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, Your growth, Recognizing you.
Equal Opportunity
- 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.
- 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.