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About the Role

This role is within the Investment Data Architecture (IDArch) team, which resides within the middle office and focuses on enabling the organization to derive more value from its investment data. The team leads Modern Data Platform (MDP) enablement, sets standards and governance for data products, and manages the Investment Data Management platform. This is a strategic opportunity with growing enterprise-wide influence.

Responsibilities

Partner with investment and operations stakeholders to understand their data needs and translate them into clear business requirements, data definitions, business rules, and acceptance criteria for the technical team.
Support business data owners in defining and preparing trusted, reusable investment datasets (data products) through intake, definition, and readiness using agreed standards.
Contribute to ongoing stewardship and lifecycle reviews of investment datasets.
Develop conceptual and logical investment data models with business owners and technical partners.
Explain data models clearly to technical and non-technical stakeholders.
Collaborate with data engineers and business teams to define and validate business transformation rules and source-to-target mappings.
Confirm that delivered data meets business expectations.
Work with data owners and stewards to define data quality rules and critical data elements.
Analyze data-quality exceptions and reconciliation breaks.
Act as a subject-matter resource on security master, pricing, holdings, and reference data across equity, fixed income, and derivatives.
Ensure consistency of data across systems.
Document data models, mappings, data flows, and business processes.
Contribute business glossary terms, data definitions, and lineage information to support transparency and governance.
Contribute to strategic data projects, including requirements, testing, and release validation, in collaboration with operations, engineering, and senior management.
Identify opportunities to improve investment data usability, consistency, and operational efficiency.

Requirements

A degree in Finance, Commerce, Business Analysis, or a related field.
3–5 years of experience in investment management or financial services, ideally in investment data management, investment operations, or business analysis.
Hands-on knowledge of equity, fixed income, or derivative data is required.
Experience with security master, pricing, or an Enterprise Data Management (EDM) platform is a plus.
Proven ability to elicit requirements, run working sessions, and turn ambiguous business needs into clear, documented requirements and acceptance criteria.
SQL is an asset.
Familiarity with Python, PySpark, Lakehouse architecture, Microsoft Fabric or similar data platforms is a plus.
Exposure to conceptual or logical data modeling, or experience defining data entities, relationships, and business rules, is an asset.
Understanding of data quality, data ownership, data governance, and metadata concepts.
Excellent written and verbal communication skills.
Ability to explain data concepts to business users and business needs to technical teams.
A curious, detail-oriented self-starter who takes initiative and delivers outcomes with measurable results.
Progress toward a designation such as the CFA or FRM is an asset.

Skills

Investment Data Management
Investment Operations
Business Analysis
Equity Data
Fixed Income Data
Derivative Data
Security Master Data
Pricing Data
Enterprise Data Management (EDM) platform
Requirements Elicitation
SQL
Python
PySpark
Lakehouse architecture
Microsoft Fabric
Conceptual Data Modeling
Logical Data Modeling
Data Quality
Data Ownership
Data Governance
Metadata Concepts
Communication Skills

Location

Canada

Work Type

Hybrid

Experience Level

3-5 years

Education Level

Degree in Finance, Commerce, Business Analysis, or related field
CFA or FRM designation (asset)

Salary/Compensations

$85,000–$120,000

Benefits

Meaningful work
Continuous learning budgets
Paid study days
Support for professional designations
Competitive total compensation
Retirement savings support
Wellness credits
Enhanced parental leave
Comprehensive health benefits
Social events
Volunteering opportunities
Commitment to corporate social responsibility
Flexible work practices

About the Company

Connor, Clark & Lunn Financial Group is one of Canada’s top-performing asset managers.
They foster belonging through collaboration, inclusion, and flexibility.
They are invested in their employees' growth and well-being.

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.