We are seeking a credentialed actuary (ACAS or FCAS) who is a proven leader with an entrepreneurial spirit to create a data science practice within the EIA’s existing Actuarial and Data & Analytics (DnA) Departments. The candidate should have deep knowledge of commercial lines, data strategy, analytics and state of the art data science technology. This position offers the opportunity to build a data driven decision making culture and to define strategy for use of both basic and advanced analytics to produce actionable analytics and predictive modeling to support decisions and operational processes. In addition, the position will provide support to the actuarial department. The position is located in Folsom, California.
Set annual project plan based on input from EIA departments and member committees. Projects focus on enhancing profitability and business functions (e.g., claims, pricing, risk selection) but also may be exploratory to answer business questions.
Develop individual project plans, timetables and deliverables. With IT, DnA and other EIA departments, ensure the plans address data collection, model iteration, validation and operationalizing both model and model results. Regularly communicate project status vs plan.
Keep a log/catalogue of projects, code and models.
Work with IT, DnA and other EIA departments to: expand availability and use of internal data (both structured and unstructured); develop strategy for data access for analysis Contribute to decisions made about information value, quality and reliability.
Work with IT, DnA and other EIA departments to expand the availability and use of external data (both structured and unstructured). Participate in research on data available from external sources and support efforts to acquire and make usable.
Keep abreast of latest machine and deep learning tools, methodologies and data sets (open source and proprietary). Test and evaluate.
Based on EIA and member needs, build team of data scientists. Define job roles, recruit candidates and then manage directly or indirectly team of data science professionals.
Education / Experience: Minimum seven years of actuarial experience including at least three as a FCAS or ACAS. Minimum three years of experience building predictive statistical models. An advance degree in Statistics, Mathematics, Computer Science or other related quantitative field is preferred. In-depth insurance industry/business knowledge required.
Certificates and Licenses: Fellow or Associate of the Casualty Actuarial Society. Predictive Modeling accreditation desirable.
Programming: Experience with statistical computer languages (R, S+, etc.) and fluency with “big data” tools (Python, SAS, SQL, etc.) to manipulate data and draw insights from large data sets is required. Experience working with various data architectures.
Math: Highly sophisticated ability to create and use advanced statistical and predictive modeling techniques and concepts (Generalized linear models, Non-linear models, Bayesian methods, Decision trees, Random forests, Machine learning, Neural networks, etc.). Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing and optimization algorithms.
Innovation and Initiative: Exhibits a drive to learn and master new technologies and techniques. Employs sound judgment in determining how innovations will be deployed to produce higher return on investments. Analyzes previously used concepts, processes or trends to devise new efficiencies or approaches not obvious to others. Thinks expansively by combining ideas in unique ways or making connections between disparate ideas.
Reasoning: Ability to propose solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets. Ability to apply common sense understanding to carry out instructions furnished in written, oral, or diagram form.
Communication: Excellent written and verbal communication skills, as well as the ability to effectively present technical concepts to non-technical individuals including both EIA staff and member Underwriting, Claims, Finance and Executive Committees.
Technical: Knowledge of insurance industry, programming, and current technologies used in predictive modeling and statistical analysis.
Telecommuting is allowed.
Additional Salary Information: A generous benefit package is provided including Public Employees Retirement System (PERS) health benefits, dental, vision, long-term disability, life insurance, PERS retirement, deferred compensation program, sick leave, vacation leave, and section 125 cafeteria benefits. EIA employees do not pay into Social Security except for the Medicare portion of the cost.
About CSAC Excess Insurance Authority
The EIA is a joint powers authority of California public entities, which was established in 1979 to provide insurance and risk management services to California’s counties. Since then, our membership has expanded beyond the counties to include numerous other public agencies such as cities, schools, joint powers authorities, fire districts, etc.
The EIA operates various risk-sharing pools, which provide insurance and risk management services to its members for lines of business including workers’ compensation, general liability (including auto), property, medical malpractice, and employee benefits.
Total EIA direct written premium for the 2018-19 fiscal year was $982M including $513M written in property and casualty programs. Our current member count is just over 2,000.
In addition, in 2016 we formed a Utah domiciled captive which carries a reserve balance of $250M as of the most recent year end.