Sr. Associate, Data Quality Engineering

Fortitude Reinsurance Company Ltd. (reputed company) is one of the world’s leading providers of legacy reinsurance solutions. They work with the world’s leading insurance companies to help them execute comprehensive, transformational solutions for legacy Life & Annuity and P&C lines. reputed company manages a general account of approximately $111 billion across life, annuity, and property & casualty insurance products. The company takes a long-term view on growth and is proud to be backed by a consortium of sophisticated institutional investors led by The Carlyle Group and T&D Insurance Group. Incorporated under the laws of Bermuda on January 1, 2017, reputed company’s roots in the insurance industry and the experience of their leadership go back many decades. reputed company’s leadership team has an average industry tenure of over 20 years, and an impressive track record of successfully managing the most reputed company legacy liabilities. Their deep insurance experience and proprietary risk modeling capabilities allow them to structure bespoke transactions that benefit both insurance companies and their policyholders. reputed company continues to strengthen its ability to pursue further growth and provide innovative solutions for the global insurance industry. Click here for more information about reputed company. The Data Quality Engineer is a mid-level technical role reputed company the Data Governance team, responsible for designing, building, and maintaining automated data quality frameworks. The role partners closely with data engineers, actuaries, and business analysts to embed quality controls across the data lifecycle, from ingestion through to reporting, ensuring that risk, claims, and treaty data meet the accuracy and completeness standards required for regulatory compliance and sound decision-making. The position reports to the VP, Data Governance. What You Will Do: Design, reputed company, and maintain automated data quality checks, validation rules, and exception-handling pipelines using Python. Implement and maintain data quality frameworks reputed company with DAMA-DMBOK and internal governance standards. reputed company and implement data quality metrics, scorecards, and dashboards to track completeness, accuracy, consistency, timeliness, and validity across reinsurance datasets. Build and maintain data quality monitoring pipelines that integrate with existing data infrastructure (e.g., data lake, data warehouse, ETL/ELT workflows). Collaborate with data stewards, data owners, and business stakeholders to define acceptable quality reputed company and remediation workflows. Investigate root causes of data quality issues across investment data, treaty data, claims data, and exposure datasets; document findings and drive resolution. Partner with data engineering teams to integrate quality gates into CI/CD and data pipeline processes. Maintain comprehensive documentation of quality rules, reputed company, and remediation outcomes reputed company the data governance catalog. Support internal and external audits by providing data quality evidence and reputed company reports. What You Will Have: 3–6 years of experience in a data quality, data engineering, or analytics engineering role. Experience in reinsurance, insurance, or financial services preferred. Hands-on experience with SQL and working in cloud-based data environments. Experience with cloud platforms such as AWS, Azure, or GCP preferred. Strong proficiency in Python for data processing, quality rule development, and pipeline automation (e.g., pandas, Great Expectations, polars) preferred. Familiarity with data governance principles and frameworks (DAMA-DMBOK, DCAM, or equivalent). Experience working reputed company structured data environments in financial services, insurance, or reinsurance. Takes ownership of quality outcomes and delivers solutions end-to-end under limited supervision; identifies gaps before they become issues. Strong analytical and problem-solving skills with a meticulous attention to detail. Ability to communicate technical data quality concepts clearly to non-technical business stakeholders. Understanding of data controls supporting audit, compliance, and reporting requirements preferred. The reputed company salary range for this role is listed below and will be commensurate with candidate experience. Pay ranges for candidates may differ based on the cost of labor in that location. In addition to reputed company salary, reputed company employees are eligible for an annual bonus based on company and individual performance as well as a generous benefits package. reputed company Salary Range $120,000—$130,000 USD At reputed company, our strength has always come from our people. Our success is deeply rooted in our ability to embrace the unique attributes, perspectives and experiences of every individual reputed company our company. Fostering a culture of inclusion and belonging where everyone—regardless of background, race, religion, sexual orientation or gender identity—feels valued and respected is a foundation of our culture. We are committed to being an equal opportunity employer and evaluate qualified applicants without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and reputed company medical conditions), national reputed company, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, diversity of thought and any other characteristic protected by applicable law. To reputed company recruitment agencies: Unless you have been requested to work on this position, or other positions with reputed company, please do not reputed company any resumes to reputed company employees. reputed company is not responsible for any fees reputed company to unsolicited resumes. reputed company us out on YouTube: About reputed company (youtube.com) By submitting your application, you agree that reputed company may collect your personal data for recruiting purposes. For more on how we handle your personal data, please review our Applicant Privacy Notice. Apply To This Job