2022 Quant Risk Intern

at Global Atlantic Financial Group
New York, New York, United States

COMPANY OVERVIEW

Global Atlantic Financial Group is a leader in the U.S. life insurance and annuity industry, serving the needs of individuals and institutions. With differentiated investment and risk management capabilities, deep client relationships, and a strong financial foundation, the company has established a track record of delivering proven, value-added solutions and long-term growth. Global Atlantic is a majority-owned subsidiary of KKR, a leading global investment firm that offers asset management and capital markets solutions across multiple strategies.

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.

 

POSITION OVERVIEW

The Risk Data Analytics group reports through the Chief Risk Officer and uses machine learning techniques to develop predictive models for policy-level transactions. The models are used to develop and price retail products and institutional reinsurance deals, monitor related risk, and to assist in forecasting and financial reporting. The group has a unique vantage point into nearly all aspects of the enterprise and is actively enhancing its capacity, continuing to grow with the whole company. The successful candidate will have an opportunity to work on a variety of projects depending on skill set, interest, and personal goals, and to collaborate with the broader Risk team (about 20 people), which includes a the Risk Modeling Team, Hedging and Liquidity Risk Management, Enterprise and Financial Risk Management, and Product and Insurance Risk Management.

RESPONSIBILITIES

  • Implementing machine learning and optimization tools
  • Developing supervised and unsupervised machine learning models
  • Assisting with ad hoc data analytics projects
  • Assisting the team on developing automated data pipeline

QUALIFICATIONS

  • Strong academic record in pursuit of a four-year degree in top universities with concentrations and/or interests in Finance, Mathematics, Computer Science, Engineering, Economics, or other quantitative field (minimum 3.3 GPA); preference towards students currently in their senior years
  • Background in a technical or scientific field and at least one year/two semesters of programming experience (any language)
  • Knowledge of Python, statistics, regression, machine learning, data structure, algorithm, or high-performance computing are preferable but not required.
  • Strong analytical, organizational, and communication (written and verbal) skills
  • Pro-active, detail oriented, and deadline driven; possess excellent documentation and analysis skills
  • Results oriented, flexible, self-motivated, and able to work in a team environment with limited direct supervision 

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.

Global Atlantic is committed to creating an inclusive environment where everyone feels like they 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. We encourage qualified applicants from all demographics to apply. 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.

This position is not eligible for visa sponsorship now or in the future.

 

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