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The State Manager is responsible for launching auto insurance products in new and existing states, ensuring compliance and profitability, while collaborating with cross-functional teams to drive operational success.

The Compliance Analyst will prepare SEC filings, support audits, review legal documents, and assist management with compliance tasks.

Manage data engineering functions, including the development and deployment of data processing technologies for analytics and machine learning, while leading a team and maintaining system performance.

The Capital Markets Sr Analyst role involves executing funding strategies for auto finance products, managing the commercial paper program, and maintaining relationships with financial institutions.

The Sr Risk Analyst - Portfolio Forecasting designs and maintains portfolio forecasting models, analyzes performance factors, and communicates trends to management while guiding less experienced analysts.

The Manager - IT Disaster Recovery is responsible for establishing and overseeing the Disaster Recovery Program, ensuring compliance, assessing risks, and collaborating on recovery plans and technologies for critical applications.

The Salesforce Analyst II collaborates with business stakeholders to identify inefficiencies, recommend process improvements, and document business requirements. This role includes creating user stories, facilitating development and testing, and ensuring the security of customer data while leveraging Salesforce capabilities.

The AVP Finance oversees departmental personnel, manages general ledger reporting, coordinates monthly closing activities, and supports internal reporting and audits while ensuring compliance with accounting standards.

The Associate Cybersecurity Analyst supports incident response by organizing activities, maintaining documentation, coordinating priorities, and improving workflows. This entry-level role provides exposure to security operations and incident response.

The Lead Site Reliability Engineer will manage and optimize Kubernetes and Spark environments, supporting data processing and machine learning platforms while collaborating with diverse teams to enhance system reliability and performance.