Senior Reference Data Analyst

CanDeal Group is a leading provider of electronic marketplaces and data services for Canadian dollar fixed income securities and derivatives. CanDeal’s Markets Division, provides access to a deep pool of liquidity for Canadian government, agency, provincial and corporate bonds, as well as money market instruments and interest rate swaps. CanDeal Data & Analytics (DNA) delivers data and analytics products and other services that support business, trading and technology needs for participants in the Canadian capital markets.
CanDeal Group is a growing and entrepreneurial organization with a solid foundation in the Canadian fixed income markets and an ownership group which includes: BMO Nesbitt Burns Inc., CIBC World Markets Inc., National Bank Financial Inc., RBC Dominion Securities Inc., Scotia Capital Inc., TD Securities Inc. and TMX Group.
This is an exciting time to join a growing organization led by visionary leaders who are helping to shape their industry’s future.
Job PurposeThe Senior Reference Data Analyst is responsible for independently ensuring the accuracy, completeness, and integrity of fixed income reference data within Security Master systems. This role plays a critical part in supporting business operations by proactively identifying data issues, improving processes, and delivering high-quality data to internal and external stakeholders. This position requires close collaboration with operations, technology, and product teams to resolve complex data challenges, onboard new securities efficiently, and drive continuous enhancements to data quality and operational workflows.
Key Responsibilities
Proactively and independently identify inefficiencies or gaps in processes and take initiative to improve operational workflows and data quality
Manage and respond to client (internal and external) queries and escalations in a timely and professional manner, maintaining strong relationships
Liaise with stakeholders across operations, technology, and product to ensure effective communication and issue resolution
Research, validate, and onboard newly issued fixed income securities into the database on a timely basis, ensuring completeness and accuracy
Maintain and oversee the integrity of reference data within Security Master products, ensuring adherence to established data standards and controls
Identify, investigate, and resolve data discrepancies, performing root-cause analysis and ensuring issues are addressed in a sustainable manner
Work closely with development teams to document issues clearly, support testing, and ensure effective implementation of fixes
Knowledge, Skills, and Abilities
5 years+ of relevant business experience in fixed income markets
Strong understanding of fixed income instruments and associated reference data attributes, vendor data use cases, dealers and client’s integration
Deep knowledge of security master data models, governance, and quality frameworks
Proven ability to independently analyze complex data issues, perform root-cause analysis, and implement scalable solutions
Excellent stakeholder management and communication skills, with the ability to translate technical issues into business language
Demonstrated ability to multitask, prioritize competing demands, and maintain accuracy and composure under pressure in a high-volume, fast-paced environment
Proficiency with data tools (e.G., SQL, Excel, data quality platforms) and experience working with large datasets
Prior experience with Bloomberg, DataScope, Workspace, or similar financial data products, particularly within Fixed Income or Security Master environments, would be an asset
Bilingualism (French/English) is an asset
Key Qualities for Success
Highly proactive and self-driven, with a continuous improvement mindset
Strong attention to detail and commitment to data accuracy and integrity
Resilient under pressure, with the ability to handle escalations calmly and effectively
Collaborative team player who builds strong relationships across functions
Curious and analytical thinker with a passion for solving complex data problems
Education
University degree in a related discipline. (Business and/or Finance focus).
Please inform us if you require any accommodation during the hiring process.
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