Senior Reinsurance Business & Data Analyst

Reporting to the VP, Claims & Operations, this senior individual contributor role is responsible for reinsurance operations, data management, business analysis, and operational systems support. The position ensures the accuracy and integrity of client and reinsurance data, drives process improvements, supports system enhancements, and provides analytical expertise to improve operational performance. Acting as a trusted subject matter expert, the incumbent partners with Operations, Finance, Actuarial, IT, and external stakeholders to deliver effective business solutions and operational excellence.

• Bachelor’s degree in business, Finance, Accounting, Information Systems, Computer Science, Data Analytics, Mathematics, Actuarial Science, or a related discipline.
• Relevant insurance, reinsurance, analytics, or technology certifications are considered an asset.
• Minimum 5 years of experience in life insurance, reinsurance operations, data management, business analysis, or a related field.
• Strong knowledge of life insurance products, reinsurance treaties, operational processes, and data management practices.
• Demonstrated experience in complex data analysis, business requirements analysis, problem solving, and process improvement.
• Experience collaborating with cross-functional stakeholders and supporting operational systems, reporting environments, audits, business implementations, or operational enhancement initiatives.
• Advanced Microsoft Excel skills, including Pivot Tables, Power Query, advanced formulas, reconciliations, and reporting.
• Strong SQL and data analysis capabilities, including experience with reporting and visualization tools such as Tableau or Power BI.
• Experience with data mapping, ETL processes, data quality controls, and database technologies.
• Experience with VBA, Python, automation tools, secure file transfer platforms, Omega administration, or BO/WEBI reporting is considered an asset.
• Knowledge of actuarial, finance, claims, or valuation data processes is considered an asset.
• Strong analytical, organizational, communication, and stakeholder management skills, with the ability to translate complex business and technical concepts into practical solutions.
• High attention to detail, sound judgment, and a commitment to quality, continuous improvement, and operational excellence.
• Ability to manage multiple priorities and work effectively both independently and within a collaborative team environment.
• Knowledge of French is highly desirable for supporting clients and stakeholders in bilingual environments; we encourage candidates with the required technical expertise to apply regardless of their French proficiency.

You may not meet every requirement listed in the job description. If you bring broad expertise and alignment to the role and resonate with our core values, we encourage you to apply.

SCOR welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.

Hybrid Work Policy:

SCOR is committed to an “in-office” culture where people can collaborate, exchange ideas, and establish stronger working relationships while ll providing flexibility. To support employee work-life balance and increase opportunities for employees to excel every day, SCOR operates with a hybrid working arrangement. SCOR employees work 3 days per week in an office with the flexibility to work 2 days per week remotely.

At SCOR, we CARE about clients, people, and societies, and we are committed to placing them at the center of everything we do. Providing great benefit choices to you and your family is just one of the ways we support the physical, financial, and emotional well-being of the people who make our company successful – you.

Pay Range for roles performed in Toronto: $87,000-$106,000 base salary per year. Actual salaries may vary based on various factors including but not limited to location, experience, role and performance. The range listed is just one component of SCOR's total compensation package for employees. Other rewards may include annual bonuses, short- and long term incentives. In addition, we provide a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement saving plan, paid holidays and paid time off.
 

Data Management, Validation and Quality Support

• Manage, validate, reconcile, and administer client and reinsurance data to ensure accuracy and
• compliance.
• Investigate and resolve complex data issues through analysis and root cause identification.
• Develop controls, validations, and reporting processes to strengthen data quality and governance.
• Partner with stakeholders to identify and mitigate data-related risks.

Reinsurance Administration and Business Analysis

• Analyze reinsurance treaties, products, operational requirements, and data to support accurate administration and reporting.
• Support configuration, testing, and maintenance of reinsurance systems and business rules.
• Provide subject matter expertise for reinsurance operations, system enhancements, and transformation initiatives.

• Support retrocession billing and claims processing activities. 

Operational Support and Stakeholder Management

• Collaborate with business partners to resolve operational, reporting, and process-related issues.
• Communicate findings, recommendations, and solutions to stakeholders.
• Support audit activities and maintain strong internal and external relationships. 

Reporting, Analytics and Process Improvement

• Perform advanced data analysis and develop reporting solutions to support business decisions.
• Identify opportunities to improve efficiency, controls, reporting accuracy, and operational performance.
• Translate business requirements into practical operational and system solutions. 

Systems and Technical Support

• Serve as the primary Canadian business SME for Omega supporting users, coordinating testing activities, communicating system changes, and supporting reporting requirements and related operational systems.
• Support data integrations, file transfer processes, system testing, and reporting enhancements.
• Assist with implementation and optimization of operational technologies and controls. 

Knowledge Sharing and Leadership

• Provide technical guidance and mentorship on reinsurance operations, data quality, and systems.
• Support training, documentation, and best practice development.
• Contribute to departmental projects and continuous improvement initiatives.