AVP, Head of Risk Data Analytics

New York, NY

Applications have closed

Global Atlantic Financial Group

We offer a broad range of annuity and life insurance options designed to help our customers address financial challenges with confidence.

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COMPANY OVERVIEW

Global Atlantic Financial Group is a leading insurance company meeting the retirement and life insurance needs of individuals and institutions. With a strong financial foundation and risk and investment management expertise, the company delivers tailored solutions to create more secure financial futures. The company's performance has been driven by its culture and core values focused on integrity, teamwork, and the importance of building long-term client relationships. Global Atlantic is a wholly-owned subsidiary of KKR, a leading global investment firm. Through its relationship, the company leverages KKR's investment capabilities, scale and access to capital markets to enhance the value it offers clients. KKR's parent company is KKR & Co. Inc. (NYSE: KKR).

The Global Atlantic & KKR Partnership Story

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POSITION OVERVIEW

Global Atlantic Financial Company (a subsidiary of Global Atlantic Financial Group Limited) is seeking a candidate for the position of AVP, Head of Risk Data Analytics. Responsibilities include:

  • AVP, Head of Risk Data Analytics within the Risk Data Analytics group.
  • Design solutions for experience studies problems.
  • Manage a team of quantitative analysts, data scientist, and data engineers, performing quality control on their experience studies.
  • Train and manage junior data scientists and quants in the team, and provide technical guidance on all data analysis, statistical modeling, and software development projects.
  • Enhance Global Atlantic's experience studies by coming up with strategies to model new data assets and design solutions to improve data flow from raw data to internally developed statistical learning tools using SQL database and data management skills.
  • Develop models that will be used across the enterprise for tasks ranging from Product Design and Pricing, Risk Management and Block Reinsurance transactions, to the valuation of the company itself.
  • Leverage knowledge of statistics and machine learning to understand and quantify complex systems and utilize statistical techniques to extract insights and 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.
  • Design the architecture for scalable data analysis, optimization, and statistical learning tools on AWS to work with big datasets and to improve work efficiency by drawing upon knowledge of computing and optimization tools used to manage information and develop business strategies.
  • Design process for automated model performance monitors and reporting infrastructure to enhance experience studies and assist decision making in risk management, hedging, product pricing, and investment.
  • 40 hours/wk; Monday-Friday; 9am-5pm; The expected annual base salary for this New York, New York, United States-based position is $104,500 to $199,500.

QUALIFICATIONS

  • Bachelor’s degree (U.S. or foreign equivalent) in Operations Research, Financial Mathematics, or a related financial quantitative or analytical field plus four (4) years of experience as a Data Scientist or related role.
  • Prior experience must include four (4) years in each of the following:
    • Working with machine learning, statistical modeling, data analysis, and data modeling;
    • Programming in Python, SQL databases, and other natively built parallel computing frameworks; and
    • Working in software development, Amazon Web Services (AWS), and high-performance computing applied to finance or insurance or related operations.
  • Prior experience must include three (3) years in each of the following:
    • Building infrastructure to work with larger, novel data sets, and to help deploy these tools in new ways; and
    • Developing predictive models for policyholder behavior at an insurance company.
  • Prior experience must include one (1) year in each of the following:
    • Managing data scientists; and
    • Completing assumption review projects at an insurance company.

Global Atlantic is an equal opportunity employer, does not discriminate in employment on any basis that is prohibited by federal, state or local laws.

 

TOTAL REWARDS STATEMENT 

Global Atlantic’s employees thrive in a fast-paced, high-performing culture with strong benefit options and wellbeing resources that support innovation, accountability and stewardship. At Global Atlantic, being an employer of choice means we are committed to offering employees a customizable and comprehensive benefits package. 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 strive to foster a culture of total well-being through community outreach and charitable giving programs. Click HERE to learn more about our charitable giving programs.

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 was proudly named: Best in Perks & Benefits, Best Company Work-Life Balance, Best Company Happiness and Best Company Compensation. Learn more about our Benefits offerings.

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. Find out more about GA’s commitment to creating a culture of belonging: DE&I and Strategic Pillars

Employees who require an accommodation to perform the essential functions of their job will participate in an interactive process which may include providing documentation. If you require an accommodation during the hiring process or after you are hired for any protected status under the ADA, please email benefits@gafg.com.

Discover more about Global Atlantic below:

2023 Corporate Responsibility Report

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Global Atlantic Privacy Statement

Our employees are in the office 4 - 5 days per week in Hudson Yards, NY and 3 - 4 days per week in all other offices. If you have questions on this policy or the application process, please reach out to benefits@gafg.com

Global Atlantic reserves the right to modify the qualifications and requirements for this position to accommodate business needs and regulatory changes. Future adjustments may include obtaining specific licenses or certifications to comply with operational needs and conform to applicable industry-specific regulatory requirements, state and federal laws. 

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Tags: Architecture AWS Data analysis Data Analytics Data management Finance Machine Learning Mathematics Privacy Python Research SQL Statistical modeling Statistics

Perks/benefits: Career development Competitive pay Equity / stock options Health care Insurance

Region: North America
Country: United States

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