AD & Actuarial Associate - AC07BEWe’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future. 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. We seek candidates with a strong foundation in statistical modeling and/or machine learning, who have a drive for finding novel and efficient solutions to maximize business value. Our team culture prioritizes flexibility and innovation, so an aptitude and desire to research state-of-the-industry solutions is a must, along with an aptitude to learn new tools and languages as necessary. This role will involve communicating model results to varying business partners so strong communication and presentation skills are required. This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday) Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise.Strong candidate has been identifiedMust be able to work in the US without company sponsorship Responsibilities:
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
Background:
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
CompensationThe 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:$105,680 - $158,520Equal Opportunity Employer/Females/Minorities/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us (https://www.thehartford.com/about-us) | Culture & Employee Insights (https://www.thehartford.com/careers/employee-stories) | Diversity, Equity and Inclusion (https://www.thehartford.com/about-us/corporate-diversity) | Benefits (https://www.thehartford.com/careers/benefits) Human achievement is at the heart of what we do.We believe that with the right encouragement and support, people are capable of achieving amazing things.We put our belief into action by ensuring individuals and businesses are well protected, and by going even further – making an impact in ways that go beyond an insurance policy.Nearly 19,000 employees use their unique talents in careers that span a variety of disciplines – from developing the latest technology to creating and promoting our products to evaluating future financial risks.We’re also committed to programs that drive education and support volunteerism, which put human beings first. We do it because it’s the right thing to do, and because when our customers, communities and employees succeed, we all do.About Us (https://www.thehartford.com/about-us) Culture & Employee Insights Diversity, Equity and Inclusion (https://www.thehartford.com/about-us/corporate-diversity) Benefits Legal Notice (https://www.thehartford.com/legal-notice) Accessibility StatementProducer Compensation (https://www.thehartford.com/producer-compensation) EEO Privacy Policy (https://www.thehartford.com/online-privacy-policy) California Privacy PolicyYour California Privacy Choices (https://www.thehartford.com/data-privacy-opt-out-form) International Privacy PolicyCanadian Privacy Policy (https://www.thehartford.com/canadian-privacy-policy)