Data Entry / Data Analyst

Data Analyst, Investment Data Management
Connor, Clark & Lunn Financial Group (CCLFG) Toronto, ON 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. CCLFG) manages a wide range of global assets and heavily relies on the output of the DMT for a variety of functions from the front office to the back. Our offices currently operate on a hybrid model with a combination of in-office and remote working days throughout the week.
What You’ll Be Doing This role operates in a unique position, working closely with front office traders, investment managers and a wide range of investment-operation business units in the middle and back office. You will use your financial and technical knowledge to provide critical investment data inputs to the whole investment operations process. 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.
Data Quality Expert: Deliver timely data signoffs to investment teams; develop and analyze data-quality exceptions and ensure timely resolution.
Stakeholder Servicer: 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.
Education – 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.
Industry Knowledge – 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
Problem Solver / Technical – 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.
Collaborative – 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.
Self-Motivated – 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.
Continuous Process Improvement Mindset – You constantly take a critical eye to processes with the goal of finding improvement opportunities and bring an ability to manage multiple projects.
In addition, there is an annual performance bonus which contributes to the total compensation for this position. 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 collectively manage over $167 billion in client assets, providing a diverse range of traditional and alternative investment products and solutions to institutional, high-net-worth and retail clients.
All qualified applicants will receive consideration for employment without regard to gender, ethnicity, religion, sexual orientation or expression, disability, or age.

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.
No telephone calls or recruitment agencies will be accepted. #