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Pursuant to Company policy, all employees are required to be vaccinated for COVID-19 to access GA facilities. Currently, most of our interviews will occur over video. All offices are currently open, and our employees are back 4 days a week in NY and 3 days a week in all other offices. If you have questions on this policy or the application process, please contact firstname.lastname@example.org.
Global Atlantic Financial Group is a leader in the U.S. life insurance and annuity industry, serving the needs of individuals and institutions. Global Atlantic is a majority-owned subsidiary of KKR, a leading global investment firm that offers alternative asset management across multiple strategies and capital markets solutions. Global Atlantic is looking for a diverse team of talented individuals who reinforce our culture of collaboration and innovation. We are dedicated to the career development of our people because we know they are critical to our long-term success. Join our team and come grow with us.
The Product Risk and Data Analytics group is seeking a data engineer / developer to join our team of data scientists and quants to help enhance our database of policy holder / agent information, transactions, financial products, and other financial and non-financial data, to help model new data assets, and to help design solutions to improve data flow to and from our internally developed suite of machine learning tools. The team uses machine learning techniques to extract competitive advantages from a data set that spans billions of records across millions of individuals and over a decade of time and dozens of financial products and external elements. Our models are used across the enterprise for tasks ranging from Product Design and Pricing, Investment and Hedging, Operations, Risk Management, and Block Reinsurance transactions, to the valuation of the company itself. As part of a larger quant-modeling team that reports through the Chief Risk Officer, the team has unique vantage point into nearly all aspects of the enterprise.
Required skills: Degree in computer science, math, statistics, a physical or biological science, engineering, or related field. Experience programming in Python, data modeling, and SQL databases, Experience (or interest) in C/C++, software development, AWS, machine learning, high performance computing, finance or insurance or related operations are highly desirable. Three years work experience or an advanced degree.
We are looking for a highly curious individual enjoys learning new things, being part of a team, building new things and seeing the things they build have real world impact.
TOTAL REWARDS STATEMENT
Global Atlantic’s total rewards package is reflective of our corporate values, particularly diversity, excellence and innovation, with a focus on inclusion, pay equity, and flexibility. We are proud to support your personal and professional growth and well-being through programs such as educational assistance, virtual physical therapy, remote/onsite fitness reimbursement, a medical second opinion program, pet insurance, military leave, parental leave, adoption assistance, fertility and family planning coverage. We strive to foster a culture of total well-being through community outreach and charitable giving programs.
We are active in our communities-
Social platforms provide an environment to collaborate with others and participate in friendly competitions towards achieving physical, emotional and financial well-being. Our highly competitive health, retirement, life and disability plans can be tailored to best suit your needs and those of your whole family.
Global Atlantic is committed to creating an inclusive environment where everyone can meaningfully contribute to our success. We are proud to be an equal opportunity employer and we do not discriminate in employment on any basis that is prohibited by federal, state or local laws. More than that, we strive to be inclusive of all backgrounds and experiences, which we feel gives us a competitive advantage in the market and within our firm. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status. If you are hired and require an accommodation for any protected status, please email email@example.com.
Global Atlantic Financial Company Employee Candidate Privacy Notice
32 Longview Lane
West Hartford, CT 06107
We encourage qualified applicants from all backgrounds to apply. As such, we are committed to achieving a diverse candidate pool for open positions and that our interview teams are made up of employees from different backgrounds. Sharing your background with us will help us with that focus, although recruiters and hiring managers will not have the ability to see individual responses (only aggregate information).
This information is not used to determine who is selected for interviews or will be hired, but is helpful in identifying resources, sites and groups which add value in increasing our applicant pool and ensures that we attract the best and most diverse workforce. This is purely voluntary but will help our mission to be inclusive.