You are a driven and motivated problem solver ready to pursue meaningful work. You strive to make an impact every day & not only at work, but in your personal life and community too. If that sounds like you, then you've landed in the right place.

The Hartford has invested in and has been successfully executing on a multi-year strategy to create a sustained culture of process excellence and continuous improvement, enabling achievement of our vision of being an exceptional company celebrated for financial performance, character, and customer value.

This role will be part of a dedicated hybrid actuarial/data science team designing and delivering powerful analytical tools utilizing statistical modeling, machine learning, and big data platforms to enhance or overhaul core actuarial processes. The role involves partnering with data scientists, data engineers, and actuaries in a highly collaborative development environment. This includes close interaction with, and training of, partner-customers in actuarial. We are seeking a candidate who can apply predictive modeling and data science techniques to create innovative solutions to traditional actuarial problems and processes. The ideal candidate will be an actuarial student with modeling and coding experience or a data scientist with experience working in insurance.  Candidates without a background in data science or insurance must have strong aptitude to quickly pick up the required skills.

*This position be a part of our Actuarial Student Program where students receive fantastic support and benefits including generous study time, structured rotations, study material, rewards and a very large community of students working to become credentialed actuaries.

The primary objective of the role is to support the development and rollout of our modeled rate indications’ initiative.  Candidates will work closely with key stakeholders and customers on deployment and adoption, so strong communication and analytical skills are a must.  Lastly, candidates will also be involved in advancing other areas of actuarial science.  The role calls for candidates to be empowered to think creatively and innovate in the actuarial space to advance longstanding actuarial methodologies.  Examples include developing new approaches to incorporate loss development, trend, and range-estimates in our modeled indications and other actuarial processes.

Responsibilities:

• Use predictive modeling along with data science tools and techniques to enhance and innovate traditional actuarial processes and assumptions (ratemaking; reserving; trend; loss development; ranges around our point-estimates)
• Partner with business stakeholders to continue enhancing existing assets and processes
• Think creatively to develop innovative and novel solutions for how we can enhance long-standing actuarial methodology and processes using newer data science techniques
• Show a high level of independence and ownership while also being a team player
• Drive results with commitment to meeting deadlines
• Attend to detail and manages multiple priorities in a fast-paced environment

Skills and Qualifications:

· Programming experience in R and/or Python and SQL required

· Experience using statistical models and/or machine learning approaches is a plus

· 1-3+ years of experience in the P&C insurance industry

Compensation

The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford’s total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:

Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age

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