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Consultant
Lincoln Financial Group
Boston, MA, United States
Job Details - this job has expired, please see similar jobs below
About the Company
Lincoln Financial Group, a Fortune 250 company with over 10,000 employees, provides advice and solutions that help empower Americans to take charge of their financial lives with confidence. Our core business areas — Life Insurance, Annuities, Retirement Plan Services and Group Protection — focus on supporting, preserving and enhancing over 17 million customer’s lifestyles and retirement outcomes.
Headquartered in Radnor, Pennsylvania, Lincoln Financial Group is the marketing name for Lincoln National Corporation (NYSE: LNC) and its affiliates. The company had $253 billion in assets under management as of December 31, 2017.
Ranked one of the Best Large Employers in America by Forbes magazine, Lincoln Financial Group makes a serious investment in our employees’ futures through a broad range of wealth accumulation and protection plans, health and wellness programs, and career development resources designed to help each individual reach their personal and professional goals.
The Role
Join the high-energy data science and business experts in Lincoln’s Life Solutions Data Analytics group as we build out the new Advanced Analytics and Data Science team and drive business value and innovation through data. As the Consultant – Advanced Analytics & Data Science, you will provide subject matter expertise and direction on complex projects/initiatives for the design, development, and delivery of advanced analytics and predictive modeling that enables the business to make data based decisions. As part of the Advanced Analytics & Data Science team you will research, prototype, architect, and deploy state-of-the-art technology within Lincoln’s Individual Life area to create high-impact business value. In additional to collaboration with other team members, you will have high-profile engagement across the enterprise including Underwriting, IT, Finance, Marketing and others.
Responsibilities
•Identify opportunities to improve operational efficiency across Lincoln’s Life Solutions business and provide data-driven solutions to complex business problems using predictive and statistical models.
•Provide expertise and collaborate with stakeholders to define data collection and analysis requirements and establish adequate business understanding to provide effective analysis.
•Compile and mine data from a wide variety of data repositories. Validate data accuracy, and confirm data quality and consistent use across the business.
•Design and execute analytic plans. Generate insights and inform business decisions using advanced analytical techniques.
•Translate quantitative analyses and findings into accessible visuals for non-technical audiences, clearly interpret the data and effectively communicate findings and insights to senior executives, managers, and key stakeholders.
•Deploy and maintain predictive models. Monitor model performance and update models.
•Work with key stakeholders in different functions to align and consolidate key operational performance metrics.
•Evaluate technologies, vendors, and cloud services that can support the business strategies and goals.
•Develop new modeling techniques and tools for analytics and reporting.
Education
•Masters (Statistics, Econometrics/Economics, Applied Mathematics, Engineering) preferred.
•4 Year Bachelor's degree in Mathematics, Natural Sciences, Economics, Computer Science, Engineering, Statistics, or Information Systems or 4+ years of equivalent work experience required.
Experience
• Proficiency with, or the proven ability to learn, a major programming language appropriate for data science (e.g. R, Python) to manipulate data and draw insights.
• 3 - 5+ years of solid experience working on different data sources and platforms.
• Knowledge and experience applying statistical and machine learning techniques to real business data.
• Ability to define problems, collect data, establish facts and draw valid conclusions.
• Strong relationship management skills with internal clients (e.g. senior management, peers and colleagues); proven ability to develop creative and collaborative approaches.
• Curiosity and demonstrated capability of quick learning on new technical and business knowledge.
• Flexibility and fast adaption to the changing business environment and priorities.
• Strong interpersonal skills with a collaborative style.
• Strong project management leadership skills including, critical ability to coordinate and balance multiple projects in a time-sensitive environment, under pressure, and meeting deadlines.
• Proficiency with Microsoft Office Suite (Word, Excel, PowerPoint, Outlook).
• Actuarial working experience or knowledge and experience in the insurance industry is desirable.