AD & Actuarial Associate - EB Pricing Modeling

The Hartford-posted 2 months ago

$108,800 - $163,200/Yr

Full-time • Entry Level

Hybrid • Hartford, CT

5,001-10,000 employees

Insurance Carriers and Related Activities

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We'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. The Hartford seeks an Actuarial Associate within Employee Benefits to join a team of Data Scientists developing statistical models & machine learning solutions to support actuarial pricing and reserving modeling within Employee Benefits. As an Actuarial Associate on this team, you will contribute to the entire model lifecycle while partnering with cross-functional business and technical partners to understand business strategies and design, develop, implement, and evolve modeling solutions. We use the latest data technologies, machine learning methods, MLOps, and Agile delivery frameworks to build innovative and efficient solutions that maximize business value. This cutting edge and forward focused organization presents the opportunity for collaboration, self-organization within the team, influencing decision-making, and visibility as we focus on continuous business data delivery.

Create statistical models, algorithms, and machine learning techniques to achieve financial objectives, solve business problems, and identify long-term opportunities that improve customer journey
Collaborate and partner with business stakeholders in a way that supports the vision and sustains a culture that treats analytics as a corporate asset
Lead execution of modeling and machine learning projects that focus on internal team collaboration with Data Scientists, Data Engineers, and Product Owners
Assist in identifying and assessing the value of new data sources and analytical techniques to ensure ongoing competitive advantage
Contribute to successful implementation of strategies to achieve targeted business objectives
Develop knowledge of The Hartford's formal and informal structures, business processes, and data sources in your area of expertise
Remain current on research techniques and become familiar with state-of-the-art tools applicable to your function
Provide economic, qualitative, and statistical support to ensure accuracy of characteristics and metrics being applied to business decisions
Learning best practices to guide the direction of our Data Science and Data Engineering workflows

3+ years of relevant experience recommended
Progress toward ACAS/FCAS or ASA/FSA preferred but not required. We will consider filling this role as part of our actuarial student program for a qualified candidate meeting requirements for entry into the program.
Proficiency in statistical modeling, inference, and building machine learning algorithms in Python preferred.
Proficiency in SQL and navigating databases to extract relevant attributes
Proficiency in Unix and Git
Exposure to the end-to-end modeling lifecycle, from requirements gathering to monitoring and validation
Exposure to building modeling solutions in cloud-native environments, such as Sagemaker, a plus
Able to communicate effectively with both technical and non-technical teams
Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution
Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques

Short-term or annual bonuses
Long-term incentives
On-the-spot recognition

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