You desire impactful work. You’re RGA ready RGA is a purpose-driven organization working to solve today’s challenges through innovation and collaboration. A Fortune 200 Company and listed among its World’s Most Admired Companies, we’re the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all. Support the senior data scientist engineers to implement and deploy predictive modeling solutions and commercial applications for both RGA internal and external clients across the globe. Work with IT to investigate and debug data pipeline and model issues and performance. Work on data understanding, manipulating, and cleaning to ensure the data quality and integrity for effective modeling. Communicate critical findings from analyses to the predictive team members and division's senior management team. Principle Duties - Implementation: Assist in the preparation of data science models for access by external clients. This includes restructuring R, JavaScript, Scala, and Python code for API and web access and developing the actual API interface/protocol.Modeling: Develop and enhance statistical and machine learning models for the applications in the insurance industry, including mortality, morbidity, persistency, fraud, consumer response, etc., for use internally or externally. Provide internal and external clients with an expert review of vendor and client-generated models.Commercial Applications: Assist/support in developing commercial applications of predictive models for use in underwriting, claims, experience study, risk management, and/or projections. - Data Understanding: When presented with specialist datasets, carry out the full spectrum of data analysis, from the development of statistical analysis plans and design of the database schema, through data cleansing and into the creation of new insights and knowledge based on a thorough and deep statistical analysis of the data; - Subject Matter Expertise / Client Contact: Develop subject matter expertise in predictive modeling and advanced data analytics in the insurance application. Support clients as needed. - Collaboration / Communication: Collaborate with local offices in support of various predictive modeling projects. Develop verbal and oral communication skills whenever possible. - Actively participate in other research-related initiatives Education - Master’s degree in Arts/Sciences (MA/MS) in Statistics, Computer Science, Information Systems, Business, Finance, Economics, Information Systems, Computer Science, or related field - Required - Master’s degree in Arts/Sciences (MA/MS) or Ph.D. in Statistics, Computer Science, Information Systems, Business, Finance, Economics, Information Systems, Computer Science, or related field - Preferred Work Experience - 1+ years of software development experience. 1+ year experience with statistical and machine learning modeling (GLM, Decision Trees, Time Series, Regression, NLP, etc.) - Required - 1+ years of experience with statistical modeling or relevant experience in insurance or related industry - Required Skills and Abilities Required: Advanced PC and technical skills, including statistical programs (ex.: R, SAS, MATLAB, or Python), spreadsheets (VBA), and database applications (Access, Oracle, SQL or equivalent technology). - Familiarity with R or Python for predictive modeling and automation. - Knowledge of R-shiny. - Knowledge of SQL, JavaScript, XML, JSON, and HTML. - Knowledge of AWS technologies, such as EC2, S3, and Dynamo. - Basic familiarity with Linux/UNIX command line access. - Knowledge in econometrics, statistics, math and/or computational finance. - Ability to quickly adapt to new methods, work under tight deadlines and stressful conditions - Ability to work well within a team environment, participate in department/team projects and balance detail with departmental objectives - Strong oral and written communication skills, demonstrating the ability to convey business terminology that is meaningful and well-received - Strong ability to handle multiple projects simultaneously - Ability to liaise with individuals across a wide variety of operational, functional and technical disciplines Preferred: - Ability to translate business needs and problems into viable/accepted solutions - Investigative, analytical and problem-solving skills - Knowledge of actuarial concepts including mortality, morbidity, and persistency studies. - Knowledge of life, health, and/or annuity products. - Knowledge of life insurance underwriting - Solid experience with Java or C#. - Solid experience with R or Python for predictive modeling - Familiarity with Domino Data Lab - Knowledge of insurance risk analysis. #LI-CW1 What you can expect from RGA: - Gain valuable knowledge from and experience with diverse, caring colleagues around the world. - Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought. - Join the bright and creative minds of RGA, and experience vast, endless career potential. We’re excited to get to know you and connect your unique skills with our global opportunities. To create a modern and seamless experience, we use artificial intelligence (AI) in parts of our preliminary screening process. This technology helps us personalize job recommendations, automate interview scheduling, evaluate candidates based solely on experience—without considering name, gender, or other personal details—and provide real-time answers through our chatbot. AI is used only during early screening and never makes hiring decisions. Your RGA recruiter will work closely with you every step of the way to ensure the process feels personal, thoughtful, and focused on you. Compensation Range: $78,080.00 - $110,860.00 Annual Base pay varies depending on job-related knowledge, skills, experience and market location. In addition, RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan. RGA also maintains a full range of health, retirement, and other employee benefits. RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable equal employment opportunity laws.

Team: Data Services Role type: Temporary, 3-month contract Package: Pension, flexible working, healthcare cash plan Location: Remote Salary: £50,000 pro-rated About Corndel: Corndel is a unique, multi award-winning UK management and technology training provider that focuses on delivering the highest quality programmes throughout an employee’s career. We partner with some of the UK’s largest and most exciting businesses to help drive organisational and personal performance through transformational learning. Our vision is to shape a world where everyone is empowered to be their professional best. We are one of the fastest growing companies in the UK and provide a great platform for proactive and motivated individuals to take the next exciting step in their career. You will be joining an organisation with a fun, entrepreneurial and supportive environment, providing fulfilling work and an open, informal culture. The role: We are seeking an experienced Data Engineer (Contract/Temporary) to support the design, development, and optimisation of our data integration and data management solutions. This role will play a key part in building and maintaining scalable data pipelines as well as improving data quality, with a strong focus on Boomi, particularly Data Hub, and advanced SQL development. This is a hands-on technical role suited to someone who thrives in a fast-paced environment and can quickly add value across integration, data transformation, and platform optimisation initiatives. Responsibilities include: - Build and optimise SQL queries, stored procedures, and data models - Develop and maintain scalable ETL/ELT processes - Collaborate with business stakeholders and technical teams to gather and translate requirements into robust data solutions - Ensure high standards of data quality, governance, and documentation - Support data migration, cleansing, and transformation initiatives - Monitor and troubleshoot data pipelines and integration workflows - Contribute to best practices in data engineering, architecture, and DevOps - Design, develop, and maintain data integration solutions using Boomi, with a strong emphasis on Data Hub About You: - Proven experience as a Data Engineer in a contract or project-based environment - Ability to work independently and manage deliverables within tight timelines - Strong problem-solving and analytical skills Experience and Skills: Essential: - Advanced SQL skills (query optimisation, indexing, performance tuning) - Experience building and maintaining data integration pipelines - Strong understanding of data modelling and data warehousing concepts - Experience working with structured and semi-structured data Desirable: - Strong hands-on experience with Boomi, specifically Data Hub - Exposure to Power BI or other data visualisation tools. Why join Corndel? - We're committed to having a fully inclusive, welcoming and safe culture and always striving to improve. - We provide an environment that is truly flexible and supportive, somewhere you will have autonomy over your role. - We're a leader in our field, with quality and excellence at the heart of what we do. We welcome applications from candidates of all backgrounds. However, please note that we’re currently unable to offer visa sponsorship, so you’ll need to have existing right to work in the UK to be considered for this role. As part of our commitment to create an inclusive workplace where all colleagues can be their true selves, excel in their roles and progress in their careers, we recognise the importance of embracing the diversity in the working population and making Corndel a fully accessible employer. As Corndel is a Disability Confident Employer, we make sure that a fair and proportionate number of disabled applicants who meet the minimum criteria for a job will be offered an interview. If you would like to be considered under this scheme, when submitting your application, please select the appropriate option to let us know that you have a disability. Please note this does not mean that all disabled people are entitled to an interview, in some recruitment situations such as peak times, we might need to limit the overall numbers of interviews we offer. If you have a disability that might affect any stage of the recruitment process, please let us know about any help or reasonable adjustments you need before any interview or assessment. We’ll work with you to make sure any appropriate support is in place and make the application process a more positive experience. Corndel is committed to safeguarding and safer recruitment practices and will undertake pre-employment checks on the successful candidate, including Standard DBS Disclosure. #LI-Remote

• Own the data and analytics support queue: pipeline failures, ETL/ELT errors, Power BI dashboard issues • Monitor and remediate data pipelines across Azure and AWS environments • Write and execute SQL scripts for data fixes, record corrections, and diagnostic queries • Support Snowflake and Databricks: query optimization, job failure diagnosis, cluster management • Maintain CI/CD pipelines supporting data operations (Tier 1 monitoring, Tier 2 remediation) • Handle SQL-heavy overflow tickets from application support queues (HUB-Report, data corrections) • Coordinate with client data team on schema changes, pipeline updates, and capacity planning • Perform minor data platform enhancements as assigned (up to 80 engineering hours) • Support vehicle telematics data infrastructure and related ingestion pipelines

• Design and build scalable data pipelines • Optimize data workflows for performance & reliability • Handle large-scale structured & unstructured data • Collaborate with cross-functional teams • Ensure data quality, governance & security • Implement best practices in data engineering