Actuary

Job Summary

Seeking a highly skilled and motivated Actuary to join a team. This is a full-time, permanent position that offers an exciting opportunity to contribute to the development and implementation of actuarial strategies across multiple product lines of insurance. The successful candidate will play a key role in pricing, reserving, and financial analysis, while collaborating with various departments and external stakeholders to ensure the company's financial success and compliance with regulatory requirements.

Compensation Package

• Competitive annual salary: $115,000 - $125,000
• Discretionary annual bonus
• Comprehensive benefits package

Responsibilities

• Oversee and manage projects related to pricing and reserving.
• Lead the ratemaking process and develop pricing indications to achieve underwriting profitability.
• Conduct quarterly rate adequacy reviews, internal rate indications, and analysis of internal and external data.
• Support and enhance pricing tools and methodologies for data capture and analysis.
• Manage the rate filing process and interact with regulatory authorities, including testifying as required.
• Review and implement new product strategies, designs, and rate changes.
• Perform reserve analysis, including quarterly reserve reviews and monthly IBNR roll forwards.
• Collaborate with accounting, external actuaries, and auditors to ensure accurate financial statements and reconciliations.
• Provide data and insights to support actuarial, product, underwriting, and reserving initiatives.
• Perform data manipulation, analysis, and automation, ensuring data accuracy and consistency.
• Present findings and recommendations to senior management and other departments.
• Stay updated on industry trends, regulatory changes, and advancements in actuarial and data methods.
• Lead special projects related to ratemaking, reserving, and financial analysis.

Qualifications/Requirements

• Bachelor’s degree in actuarial science, mathematics, risk management, or a related field.
• Minimum of 4 years of actuarial experience, with a preference for homeowners and commercial lines experience.
• Advanced proficiency in Microsoft Access, Excel, Word, and PowerPoint.
• Strong data and programming experience in an insurance environment.
• Proficient knowledge of SQL, MySQL, Oracle, or similar database languages.
• Proficient knowledge of R, Python, VBA, or similar programming languages.
• Excellent communication skills, both written and oral.
• Advanced analytical, problem-solving, and research skills.
• Strong work ethic and ability to work independently and as part of a team.
• Project management skills, with the ability to lead teams and manage multiple priorities.
• Associate of the Casualty Actuarial Society (ACAS) highly desired.
• Commitment to attaining Fellowship in the Casualty Actuarial Society (FCAS) is preferred but not required.

Senior Data Engineer

Job Summary

Seeking an experienced Data Engineer to support enterprise-level data initiatives within the insurance and financial services sector. This role focuses on designing and maintaining scalable data pipelines using Azure Data Factory (ADF) and SQL Server Integration Services (SSIS), while ensuring data accuracy, performance, and reliability across hybrid environments. Experience with AWS and Databricks is highly desirable, as the organization continues to expand into multi-cloud and modern analytics platforms.

Key Responsibilities

• Design, build, and maintain end-to-end data pipelines and ETL processes using Azure Data Factory and SSIS.
• Develop and optimize complex SQL Server stored procedures, queries, and database schema designs for large-scale data processing.
• Integrate data from multiple sources (cloud and on-premises) to support reporting, analytics, and operational systems.
• Collaborate with analysts, product teams, and business stakeholders to define data requirements and deliver accurate, efficient solutions.
• Implement and monitor data quality, validation, and performance-tuning processes.
• Troubleshoot and resolve production data issues, ensuring reliability and minimal downtime.
• Support modernization initiatives by migrating or refactoring legacy workflows into cloud-based architectures.
• Maintain detailed documentation of data flows, pipelines, and integrations.
• Stay current on emerging data technologies and recommend enhancements to improve existing systems.

Qualifications / Requirements

• Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent experience).
• Minimum of 7 years of hands-on experience in data engineering or related disciplines.
• Proven expertise with Azure Data Factory and SSIS for ETL/ELT pipeline development.
• Strong proficiency in SQL Server, including stored procedures, schema design, and performance tuning.
• Solid understanding of data modeling, relational databases, and integration best practices.
• Experience within highly regulated industries such as insurance, financial services, or healthcare is a plus.
• Excellent analytical, troubleshooting, and communication skills.

Preferred Qualifications

• Experience with AWS data services (e.g., Redshift, Glue, S3) and/or Databricks.
• Familiarity with Python for scripting and pipeline automation.
• Knowledge of Power BI or Tableau for reporting and visualization.
• Exposure to version control (Git) and CI/CD pipelines for data operations.

Disclaimer: Please note that this job description may not cover all duties, responsibilities, or aspects of the role, and it is subject to modification at the employer’s discretion.

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Senior Data Engineer

Job Summary

Seeking a highly skilled and experienced Senior Data Engineer to join a team. In this role, you will play a pivotal part in designing, building, and optimizing an enterprise data environment. You will work on transforming raw data into actionable insights, ensuring that internal teams have access to clean, scalable, and well-structured datasets. This is a hands-on position that requires technical expertise in data warehousing, pipeline development, and cloud-based data architectures.

Compensation Package

• A market-leading salary based on experience and expertise.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and holiday schedule.
• Professional development opportunities and training programs.

Responsibilities

As a Senior Data Engineer, your key responsibilities will include:

• Data Platform Development: Designing, implementing, and maintaining scalable data environments, including data warehouses, lakes, and marts, with robust governance and security controls.
• Pipeline Engineering: Building and managing automated data pipelines for efficient ingestion and transformation of large datasets.
• Data Quality & Monitoring: Establishing validation frameworks and monitoring systems to ensure data accuracy, consistency, and reliability.
• Architecture & Optimization: Modernizing existing data workflows, eliminating technical debt, and improving performance through systematic refactoring.
• Reporting & Analytics Support: Developing and maintaining dashboards and reports using modern BI tools such as Power BI or Metabase.
• Cross-Functional Collaboration: Partnering with business and technology teams to define data requirements and deliver impactful solutions in an agile environment.
• Automation & Efficiency: Streamlining recurring processes and identifying opportunities for automation across data workflows.
• Production Support: Monitoring and resolving data pipeline issues while continuously improving system stability and performance.

Qualifications/Requirements

To be successful in this role, you should possess the following qualifications:

Required Qualifications

• Experience: Minimum of 5 years in data engineering, with expertise in Snowflake, SQL, and modern ELT/ETL frameworks.
• Technical Expertise:
  • Advanced SQL development and query optimization.
  • Strong understanding of dimensional modeling and data architecture principles.
  • Familiarity with Azure or comparable cloud environments.
  • Experience with BI/reporting tools such as Power BI or Metabase.
  • Knowledge of Agile/Scrum methodologies.
• Soft Skills:
  • Excellent communication and documentation skills.
  • Strong analytical and troubleshooting abilities.
  • High attention to detail and commitment to data integrity.

Disclaimer: Please note that this job description may not cover all duties, responsibilities, or aspects of the role, and it is subject to modification at the employer's discretion. 

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