Description

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 Bachelor or Master's 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 Graduating in December of 2023 or May of 2024 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 This position is not eligible for visa sponsorship now or in the future Various jurisdictions have passed pay transparency laws that require companies provide salary ranges for any positions for which they are accepting applications. Global Atlantic’s Intern Salary is determined through an analysis of similar positions in the external labor market. The Intern Salary is based on yearly compensation and will be paid for 10 weeks during the program. Intern Salary is just one component of Global Atlantic’s total compensation package for interns. Other rewards may include an intern cash stipend, employee contributions to a 401(k), as well as a company match on your contributions, and branded gifts. The Intern Salary for this role is $105,000. 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 you during your internship with a 401k match program with immediate vesting (with the exception of Bermuda), competitive compensation, and a stipend to support your experience. Over the 10 weeks you will be immersed in an inclusive environment with opportunities to participate in: Days of Inclusion DE&I Challenge National Intern Day Celebration Weekly Business Overviews and fireside chats with leaders Social events and more! 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.

Role and 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