Investments, Data Analyst
Alternate Locations: Greensboro, NC (North Carolina); Radnor, PA (Pennsylvania)
Relocation assistance is not available for this opportunity.
Requisition #65863About 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 customers 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 $238 billion in assets under management as of December 31, 2018.
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.
General Purpose of Job
The Investment Data and Analytics team is responsible for providing advanced analytics on Lincolns investments, financial markets and the economy.
The team is also responsible for driving technology innovations, quantitative modeling and process improvements.
The Investment Data Analyst will work in a highly collaborative environment to develop, maintain and monitor the data and technology platform used for investment analysis, reporting and oversight.
ResponsibilitiesMonitor current data processes for completeness and accuracy.
Leverage data science tools like Dataiku Data Science Studio, Python/R and Spark(SQL) to develop new or enhance existing analysis that will help drive investment and business decisions.
Perform analysis of existing processes to improve performance or create efficiencies.
Research and identify new structured and unstructured data and verify its quality, accuracy and reasonableness.
Collaborate with team members within the Investment Department to automate the execution of analytical models.
Assist with the design of e
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