Actuarial Analyst

The company is an equal opportunity employer. Key Responsibilities As an Associate Actuary, you will develop, review, and communicate actuarial analyses and models to support pricing, profitability tracking, and predictive modeling/analytics for Key Risk. You will proactively identify, recommend, and communicate improvements to actuarial processes and analytical methods in response to evolving market and operational conditions. You will report directly to the Chief Actuary and take a leadership role in analytics at Key Risk. Manage staff in the Actuarial/BI&A team directly as well as other associates indirectly, depending on the project. Engage regularly with senior management teams at the strategic level to execute on goals. Collaborate across the operating functions at Key Risk and within the mono-line WC segment to implement process efficiencies through automation and predictive analytics. Maintain a leadership role in project management and project execution on Actuarial and BI&A related undertakings. Create and deliver presentations to internal stakeholders as needed. Provide subject matter expertise for the Data Science and Analytics Data Engineering team to effectively enhance our data analytics data stores. Pursue ongoing professional development through actively maintaining eligibility in the Actuarial Study Program, continuing education, advanced accreditation in the insurance and analytics fields, and participating on professional advisory boards and committees. Pricing/Profitability/Performance Analytics – Accountable for timeliness and quality of actuarial aspects of product development, pricing, profitability analyses. Data Science/Predictive Modeling – Accountable for the timely execution of high-value data science projects. Education Requirements CAS membership or near attainment of the ACAS credential is preferred. Pursuit of ACAS and/or FCAS designation required. Bachelor’s or advanced degree in mathematics, statistics, actuarial science, or other similar quantitative field (or college degree with significant technical experience in a corporate setting). Knowledge & Experience A minimum of 5 years of actuarial experience, preferably with extensive background in pricing and data science. Advanced knowledge of actuarial ratemaking methodologies. Intermediate to advanced knowledge of predictive analytics techniques and model deployment. Proficiency working with relational databases (e.g., SQL Server), unstructured data and statistical software (e.g., R, Python, SAS) to support analytical objectives. Personal Attributes Excellent listening and interpersonal skills. Customer-focused mindset. Commitment to the highest standards of ethical behavior, honesty, and integrity. Benefits The company offers a competitive compensation plan and robust benefits package for full‑time regular employees. Compensation Salary is determined by scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Sponsorship Sponsorship not offered for this role. #J-18808-Ljbffr