Actuarial Specialist, Actuarial Data Engineer (Remote Consideration)

Alternate Locations: Radnor, PA (Pennsylvania); Charlotte, NC (North Carolina); Fort Wayne, IN (Indiana); Greensboro, NC (North Carolina); Hartford, CT (Connecticut); Omaha, NE (Nebraska); Work from Home

 

 Work Arrangement:

Remote : Work at home employee residing outside of a commutable distance to an office location.

 

Relocation assistance:  is not available for this opportunity.

 

Requisition #: 73873

 

The Role at a Glance

The Actuarial Development Program (ADP) at Lincoln Financial Group is an industry-leading program that demonstrates Lincoln Financial’ s commitment to creating highly qualified business leaders.  As an ADP participant, you’ll be able to explore your unique interests while developing the essential actuarial, technical, management, communication, and leadership skills you need to succeed. The Actuarial Development Program includes a series of rotations, typically every 18-24 months. For each rotation, roles are available in different business areas including Life and Annuities, Retirement and Group Protection. Experience gained will enable participants to become well-rounded actuaries with knowledge that may include Product Development, Pricing, Reinsurance, Inforce Management, Valuation, Financial Projections, Risk Management, Financial Planning & Analysis, Financial Strategy & Management, Appointed Actuary, Experience Studies, Modeling and Data Analytics & Actuarial Transformation.
 
ADP participants are expected to pass the Society of Actuaries’ exams at a prescribed pace. The program is designed to support you as you work towards your FSA and provide the training and resources necessary to become a well-rounded actuarial leader.
 
Additional Program Highlights:

• Highly competitive compensation package with salary increases and bonuses upon successful exam completion
• Social and training opportunities to enhance skills, network with ADP participants and build long-lasting industry relationships 
• Dedicated leaders and mentors to assist with career development
• Work with actuarial and data science software and technologies including MG-ALFA, Axis, Prophet, Dataiku, R, and Tableau
• Generous study time allowances for each exam session
• Payment and/or reimbursement of actuarial exam fees, materials, review courses, and seminars taken during the program
   

What you'll be doing

As an Actuarial Specialist on our Actuarial Data Solutions team you will gain experience in:

• Translate business requests into technical requirements
• Support designing solutions to enhance reporting and analytic capabilities
• Support centralizing and standardizing data from various sources
• Assist with developing automated solutions to streamline processes
• Help transition manual deliverables to automated reports
• Increase transparency, efficiency, and governance of processes
• Maintain robust process and production documentation
• Document changes and follow change management procedures

What we’re looking for

Must-have:

• Undergraduate degree in Actuarial Science, Applied Mathematics, Statistics, Economics, Computer Science, Data Science or Data Analytics or other quantitative major 
• 2+ years of actuarial experience, 3+ actuarial exams passed
• A commitment to continuing the actuarial exam process to obtain the ASA Certification
• Strong analytical and problem-solving skills; Independent, motivated, and collaborative 
• Effective written and verbal communication skills
• Demonstrated commitment to continuous learning and development

 
Nice-to-haves:

• Experience with Life or Annuity products and actuarial modeling strongly preferred
• Experience with Excel VBA and MG-ALFA is ideal. Experience with GGY AXIS, Tableau, and other Actuarial Modeling software or Database Management systems is highly relevant.
• Demonstrates strong interpersonal skills with a collaborative style
• Curiosity and demonstrated capability to quickly learn new concepts

Experience with: 

• Modern Data & Analytics Technology such as Dataiku, Tableau, AWS, Spark 
• Coding with SQL, Hiv