Jobs at Venerable

Work on an Agile team to design, develop, deploy, and support enterprise microservices, web apps, and ML models using AWS. Support full application lifecycle, CI/CD/DevSecOps, data preprocessing, model training/deployment (SageMaker, Step Functions), monitoring, documentation, and Level 2+ support while collaborating with engineers, data scientists, and stakeholders.

Support derivative portfolio managers by monitoring listed and OTC interest-rate and equity derivatives, researching hedging strategies, building quantitative tools and risk reports, conducting market and P&L analysis, and contributing to quantitative projects to manage Variable Annuity and other risk exposures.

Develop and maintain HR reports, dashboards, and Workday data extracts; ensure data governance and integrity; provide Workday system administration, security, testing, troubleshooting, integrations, and end-user training; support HR operations like open enrollment and compensation cycles; document processes and partner with stakeholders and vendors for improvements.

Lead capital-markets risk strategy for equities, fixed income and derivatives. Design, implement and monitor hedging and investing strategies, drive strategic growth projects, develop quantitative tools and valuation models, advise senior management, manage vendor/bank relationships, and attract and develop quantitative talent.

Lead and mentor QA team members, oversee offshore testing, design and present test strategies, drive automation and BDD frameworks in cloud environments, manage defect triage, and improve QA processes and metrics across projects.

Design, implement, test, and maintain enterprise microservices, web apps, and DevOps pipelines. Collaborate with stakeholders to define user stories, lead design/code reviews, create automated unit and BDD tests, maintain documentation, support L2+ operations, and mentor team members.

Advance investment data, reporting, and technology capabilities by designing scalable data pipelines, monitoring and resolving data exceptions, building reports and dashboards, supporting product management and UAT, improving automation and governance, and partnering cross-functionally to maintain data quality and documentation.

Lead QA/Test efforts for complex IT initiatives: define QA strategy and test plans, drive automation roadmaps, mentor testers, oversee offshore teams, consult with IT and business stakeholders, and ensure compliance with quality and risk requirements.