Sr. Associate, Data Solutions Engineering
About The Position
Fortitude Reinsurance Company Ltd. (Fortitude Re) 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. Fortitude Re 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, Fortitude Re’s roots in the insurance industry and the experience of their leadership go back many decades. Fortitude Re’s leadership team has an average industry tenure of over 20 years, and an impressive track record of successfully managing the most complex 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. Fortitude Re continues to strengthen its ability to pursue further growth and provide innovative solutions for the global insurance industry. The Senior Associate, Data Solutions Engineering will be responsible for developing robust data pipelines, implementing data transformations and providing operational support, runbooks and documentation. This role will contribute to well-governed data solutions that automate application and data flows while enabling end-to-end processing on modern data platforms. This role places greater emphasis on independently designing solutions, proactively identifying optimizations, and mentoring junior team members. This role will report to the VP or AVP, Data Solutions Engineering. This role will be based remotely.
Requirements
- Bachelor's degree in Math, Computer Science, Engineering or similar field.
- Understanding of ETL/ELT, cloud, data operations.
- Minimum experience of four years in programming (Python, Julia and/or R) and proficient in SQL.
- Robust knowledge of data lakes, data governance and modern data quality techniques.
- Detail-oriented debugging and troubleshooting.
- Excellent analytical, problem solving and conceptual skills.
- Strong verbal and written communication skills.
Nice To Haves
- Domain knowledge of Actuarial, Investment, or Finance within Insurance/Reinsurance industry is a plus.
Responsibilities
- Design and deliver strategic data solutions using modern data engineering principles per business requirements.
- Independently implement and optimize data ingestion/transformation jobs and deliver incremental datasets for downstream consumption.
- Champion automation and operate in an agile development environment while applying DevOps principles.
- Evaluate and improve existing data pipelines, recommending future-state architectures that increase scalability, performance, and maintainability.
- Collaborate across the function- partnering with data platform engineers, data governance, data science, and data analytics/visualization peers, to ensure solutions are robust, compliant, and reusable.
- Support and mentor early career professionals by sharing best practices and contributing to team knowledge.
Benefits
- annual bonus based on company and individual performance
- generous benefits package
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
