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The Account Manager facilitates insurance placements for small businesses, managing relationships with brokers, providing policy advice, and achieving sales goals.

The Assistant Director, Financial Analysis & Reporting oversees monthly financial reporting, manages team activities, and ensures governance of financial reporting processes while coordinating across various financial departments.

Lead the Personal Insurance modeling team, driving innovation in predictive modeling, machine learning, and actuarial analytics, while managing team performance and collaboration with cross-functional teams.

In this role, the Data Scientist will create and enhance statistical models and machine learning techniques for actuarial processes, collaborating with business partners to translate model results and drive business value.

The Sr. Consultant Risk Engineering role involves assessing risks, implementing mitigation strategies, advising clients, using data-driven insights, and collaborating with internal teams. Travel is required for client interactions.

Manage and develop E&S Liability product suite (General & Excess Liability) through form and guideline maintenance, pricing, market analysis, program management, and cross-functional collaboration to drive growth and profitability. Support product implementation, competitive intelligence, reporting, and partner engagement while leveraging analytics and underwriting insight to optimize product offerings.

Design, build, and operationalize production-grade ML and generative AI solutions and MLOps services. Collaborate with data, product, cloud, and architecture teams to deploy and monitor models in AWS and GCP. Implement CI/CD, IaC, workflow automation, and API services to ensure scalable, repeatable model deployments and observability.

Design, build, and operationalize production-grade AI/Machine Learning solutions and MLOps services. Deploy models and API services to AWS and GCP using CI/CD and IaC, implement workflow automation, monitor post-production performance, research generative/ML techniques, and mentor junior engineers while collaborating with cross-functional data, cloud, and architecture teams.

Join an Agile Scrum team to define, scope, and certify domain-level data products (quote, policy, premium, loss). Perform end-to-end business/data analysis, stakeholder liaison, data stewardship, use GenAI and Big Data tools for mapping and profiling, ensure data quality and governance, and support delivery of analytics and the product (data asset) roadmap.

Design and implement automated, data-driven compliance monitoring, analytics, and reporting solutions. Lead process improvements, AI-enabled detection, metric governance (EPIs/KRIs/KPIs), and produce defensible reports for senior management and regulators. Partner with Legal, ERM, Audit, Technology, and business stakeholders to ensure data governance, controls, and regulatory adherence.