Data Steward

Sydney, NSW
Permanent
Full-time

20 hours ago

Job Category: DataJob Description:We are hiring for a detail-oriented Data Steward to support APAC Operations in processing and managing bordereaux data. This role ensures data quality and integrity across underwriting, actuarial, and finance functions, enabling accurate and timely data that underpins key business decisions. The role offers hands-on experience in insurance data analytics and the opportunity to grow with our evolving data architecture and strategic goals.Responsibilities:Main Responsibilities:Bordereaux Ingestion and Management

Track bordereaux files from Brokers, Coverholders, and third parties.
Validate file formats and ensure completeness prior to processing, with a strong emphasis on data quality
Process bordereaux files to ensure complete and accurate data capture, validation and quality checks across internal systems, including using excel and Databricks
Clean, map, organise and maintain data used by our underwriting, claims and finance teams, primarily across the delegated authority distribution channel.
Collaborate with other data analysts and system architects to refine mapping rules and assist with system reconciliation.
Support preparation of regular reports and dashboards.

Stakeholder Collaboration

Work closely with underwriting, claims, actuarial, and finance teams to understand data requirements.
Identify and communicate data issues and remediation plans clearly and promptly.

Continuous Improvement

Contribute to the enhancement of bordereaux processing tools and workflows.
Identify opportunities for automation and efficiency gains.
Stay current with market standards (e.g. Lloyd's Core Data Record, ACORD) and internal data governance policies.

Qualifications:Skills and Experience

Bachelor's degree in Data Analytics, Actuarial Studies, Business, Information Systems, or a related field.
Strong Excel and Power Query skills
Strong Python programming skills
Familiarity with PowerBI and Databricks.
Experience with SQL or other coding languages for data analysis
Data governance, management and personal data protection experience preferable
Strong analytical mindset and attention to detail
Enthusiasm for problem solving and curiosity to learn
Solid foundation and understanding in data cleaning and transformation.
Good communication skills and proactive attitude.

About Us: Our benefitsWe offer all employees a comprehensive benefits package that focuses on their whole wellbeing. This includes hybrid working, a competitive base salary, pension contributions, flexible benefits, discretionary bonus, insurances including health (family) cover, and many other benefits to enhance financial, physical, social and psychological health.About CanopiusCanopius is a global specialty lines (re)insurer. We are one of the leading insurers in the Lloyd's of London insurance market with offices in the UK, US, Singapore, Australia and Bermuda.At Canopius we foster a distinctive, positive culture which enables us to bring our whole selves to work to flourish as people, and build a business which delivers profitable, sustainable results.Canopius operates a flexible, hybrid working model and is committed to providing an environment that challenges employees to be their best and where everyone's unique contributions are recognised, valued and respected.We are fully committed to equal employment opportunities for all applicants and providing employees with a work environment free of discrimination and harassment. All employment decisions are made regardless of age, sex, gender identity, ethnicity, disability, sexual orientation, socio-economic background, religion or beliefs, marital or caring status, or any other status protected by the laws or regulations in the locations where we operate. We encourage and welcome applicants from all diverse backgrounds.We make reasonable adjustments throughout the recruitment process and during employment. Please let us know if you require any information in an alternate format or any other reasonable adjustments.

Canopius

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