Life Insurance Insights from Actuaries
The Society of Actuaries (SOA) is pleased to bring you information about the actuarial career path in life insurance and predictive analytics. We'll continue to share more about actuaries who are tackling some of the industry's biggest challenges and top employers in life insurance.
Be on the lookout for these actuaries working with predictive analytics, and come back here for more information on their stories.
Dorothy Andrews, ASA, MAAA - Consulting Actuary, Merlinos & Associates
Meet Dorothy Andrews. As a consulting actuary at Merlinos & Associates, Dorothy leverages her knowledge in statistical and data analytics, which she acquired through a variety of diverse experiences. The former high school math teacher was fascinated by using statistics to solve real world problems. She learned about IT architectures and protocols by partnering with IT professionals at an insurance company and worked closely with mathematicians, statisticians and economists at a major bank. Her experience building the predictive analytics engine for the USDA's new Public Health Information System provided her with unique perspectives she continues to use today.
As a leader within Merlinos & Associates, Dorothy works with her life insurance clients to build predictive analytics marketing applications to better segment customers. She believes that there are opportunities for actuaries everywhere as long as they are not afraid to venture beyond traditional boundaries.
Dorothy's advice for actuaries looking to become skilled modelers: "A modeler needs to be able to distinguish between statistical noise and true statistical signal in underlying data. They also need developmental questioning skills and an inclusive communication style because models don't build themselves; people do."
Read The Actuary article about Dorothy Andrew's unique predictive analytics experiences.
Steve Fredlund, FSA - Workforce Analytics Manager, Allianz Life
Meet Steve Fredlund. As a trailblazer in workforce analytics, Steve combines his analytical skills, leadership abilities and business experience to predict future outcomes and optimize business results. He works with his team at Allianz Life to establish a road map for the future or workforce analytics, including a foundation built on systems, data and automation.
Prior to this position, Steve spent 16 years as an actuary for a Fortune 500 not-for-profit financial firm where he gained extensive knowledge of business procedures, management and investment expertise to complement his actuarial training. Steve credits his actuarial experience with providing him a unique perspective to see the connections between workforce modeling and the company's long-term goals.
Steve's advice for anyone considering new opportunities using predictive analytics: "Predictive analytics will embed itself in all major technical, social and societal issues-everything from car insurance to security to nonprofit work. So, the question may not be how to get into analytics but how to incorporate analytics into whatever you decide to do."
Read The Actuary article about Steve Fredlund's path to workforce analytics.
Christine Hofbeck, FSA, MAAA
Meet Christine Hofbeck. Christine is pushing the boundaries of traditional life and general insurance by finding problems and fixing them with new technology, modeling methods and sources of data. Most recently, she built a predictive analytics team at one of the world's largest financial services institutions to support the pricing team for a $5 billion portfolio covering life, disability, critical illness and more.
Christine does not back down from challenging problems. Instead, she approaches them from multiple angles to find the most accurate outcomes benefiting both insurers and customers. That means building the best cross-functional team, leveraging business process expertise and activating her actuarial training for the ultimate end goal-pricing risk better.
Christine's advice to employers looking to expand their implementations of predictive analytics:" We need leaders. Predictive analytics within the life space is in dire need of leaders who understand the complete modeling process and can build capabilities and lead teams."
Read The Actuary article about Christine Hofbeck's work with predictive analytics.
Timothy Paris, FSA, MAAA,
CEO of Ruark Consulting, LLC
Meet Timothy Paris. At the start of his career, Tim didn’t plan on taking an actuarial path, but that quickly changed when he signed up for several math courses in college and ultimately decided on a degree in mathematics.
Early on in his career, Tim took a job as an actuarial student at a startup insurance company. As the only actuarial student, supporting the company’s only actuary, Tim gained valuable skills and exposure to every actuarial function within the company. Today Tim is the CEO
of Ruark Consulting, LLC, which aims to be the platform and industry benchmark for principles-based insurance data analytics and risk management.
Tim's advice to actuaries looking for a nontraditional start to their career: “Try not to think of predictive
analytics as something new. We are using newer and better tools, but we are
still using our actuarial skill set to help our companies and clients better
address their business challenges and financial risks, same as ever.”
Nathan Pohle, FSA, CERA, MAAA - Manager, Deloitte Consulting
Meet Nathan Pohle. Nathan is part of a new wave of actuaries bringing diverse perspectives to change the game in life insurance. Armed with an MBA and unique analytics experience in the sports industry, Nathan is harnessing key learnings from Silicon Valley to help life insurance companies tap into the power of predictive analytics in new ways.
As a manager on Deloitte Consulting's predictive modeling and analytics team, Nathan collaborates with data scientists, underwriters, marketers and other professionals to help clients improve existing underwriting, pricing and risk management processes. His team helps insurance companies improve the customer experience while growing their bottom line with fewer screening needle pricks and more data.
Nathan's advice for actuaries seeking new avenues to expand their skills: " Actuaries can step up and be the leaders. Data scientists have the data and know how to interpret it, but actuaries know how to use it to help achieve business goals."