Connor, Clark & Lunn Financial Group Ltd.
Data Analyst, Investment Data Management
Interested in joining one of Canada’s top performing asset managers? We are looking for a Data Analyst for an existing vacancy on our Investment Data Management (IDM) team. The IDM Team resides within the middle office and is responsible for managing data centric processes and data quality that supports the investment management business. Connor, Clark & Lunn Financial Group Ltd. (CCLFG) manages a wide range of global assets and heavily relies on the output of the Data Management Team for a variety of functions from the front office to the back. This is a fantastic opportunity to be part of a dynamic strategic team whose scope and importance continues to grow enterprise wide. 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. Our offices currently operate on a hybrid model with a combination of in-office and remote working days throughout the week.
What You Will Do
- 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 a myriad of 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, ad-hoc data/data-history requests for multiple 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 provided to stakeholders.
- Supporter of other operational or engineering staff, senior or managers on a variety of ad-hoc tasks and projects.
- You have a 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
- You 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.
- You have a collaborative spirit that helps you to work well with others and you communicate effectively to team/cross-team members, and upward to key stakeholders.
- You have a passion for advancing the quality, scale, and efficiency of data processes and can take ownership of multiple processes with keen attention to detail.
- You constantly take a critical eye to processes with the goal of finding improvement opportunities and bring an ability to manage multiple projects.
For a closer look at how you can build your career with us, we invite you to explore cclgroup.com.
CC&L Financial Group is committed to creating a diverse and inclusive environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age. 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 [email protected] if you require accommodation.
Your application will be reviewed by a member of the hiring team - AI is not used in the screening, assessment or selection of applications at this time.
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