This role will be part of a multidisciplinary actuarial/data science team designing and delivering powerful, analytical tools utilizing statistical modeling, machine learning, and advanced data engineering techniques to enhance and overhaul core actuarial processes. Our team is a cross-functional team of data scientists, engineers, and actuaries working in a collaborative environment which involves heavy interaction with partner-customers across actuarial, product, and data science. For this role, we are seeking a Data Scientist or an Actuary skilled in data science techniques to assist in the building, monitoring, maintenance, enhancement, and communication of loss models and analytical tools across both personal and commercial lines of business.
- Use predictive modeling and data science techniques to enhance traditional actuarial processes and assumptions
- Think creatively to develop new solutions to actuarial problems and envision how we can enhance long-standing methodology using newer data science techniques
- Use R and/or Python to build, maintain, and support loss models across different lines of business
- Work with business partners to effectively communicate model results and implement findings to impact the business
- Develop deep knowledge of The Hartford's formal and informal structures, business processes, and data sources
- Develop improved methods of detecting and communicating changes in model performance
- Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function
- Identify opportunities to reuse strategic components and create synergies across modeling teams
- 3+ years of experience in the P&C insurance industry OR 1+ years of modeling experience in relevant field
- Preference for at least one of:
- Master’s in Statistics, Applied Mathematics, Data Science, Computer Science, Actuarial Science, or a similar analytical field
- Progress towards relevant professional credentials (e.g. FCAS, FSA, CSPA)
- Programming experience in R and/or Python required
- Application programming experience in Shiny and R Markdown is highly desired
- Additional SQL, Spark, Hadoop, Java, or web programming experience is a plus
- Attends to detail and manages multiple priorities in a fast-paced environment
- High level of independence, but is also a team player that demonstrates a high level of ownership
- Results driven with commitment to meeting deadlines
- Note: Position can provide actuarial exam support