Quantitative Developer, Fixed Income

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About Global Atlantic

About Global Atlantic

Global Atlantic is a leading provider of retirement security and investment solutions with operations in the U.S., Bermuda, and Japan. As a wholly-owned subsidiary of KKR (NYSE: KKR), a leading global investment firm, Global Atlantic combines deep insurance expertise with KKR’s powerful investment capabilities to deliver long-term financial security for millions of individuals worldwide. With a broad suite of annuity, preneed life insurance, reinsurance, and investment solutions, Global Atlantic, through its issuing companies, helps people achieve their financial goals with confidence. For more information, please visit

POSITION OVERVIEW

Global Atlantic’s Core Analytics group works on portfolio valuation, and risk management specifically focused on Asset Allocation (AA) and Asset Liability Management (ALM). We are looking for individuals to support, modify and enhance the next generation of risk systems built on AWS. This position is for our New York office

POSITION OVERVIEW

Global Atlantic’s Core Analytics group works on portfolio valuation and risk management. We are looking for individuals to support, modify and enhance the risk systems built on top of Beacon/AWS. This position is for our New York office.

RESPONSIBILITIES:

• Spend majority of your time enhancing and improving the calculation of risk metrics on our fixed income portfolio.
• Help the portfolio and asset management team understand and attribute day-to-day changes in portfolio duration and yields
• Take an idea from inception, through to detailed research, coding, and testing, and ultimately to production.

QUALIFICATIONS

• BS/MS degree in Computer Science/Financial Engineering, similar technical field of study or equivalent practical experience.
• 2-3 years of experience at a financial services firm in a quantitative development role
• Experience with risk metrics fixed income instruments such as corporate bonds, CMBS, RMBS, and other structured credit instruments.
• Experience programming in Python and familiarity in data analysis using the python data analysis eco- system. ( e.g. pandas, numpy, scipy )
• Strong problem-solving skills

This role 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 has offices in Atlanta, Batesville, Bermuda, Boston, Des Moines, Hartford, Indianapolis, and New York City. The base salary range posted below is inclusive of the lowest cost of living geography to the highest in which we have a Global Atlantic office.

Global Atlantic’s base salary range is determined through an analysis of similar positions in the external labor market. Base pay is just one component of Global Atlantic’s total compensation package for employees and at times we hire outside the boundaries of the salary range. Other rewards may include annual cash bonuses, long-term incentives (equity), generous benefits (including immediate vesting on employee contributions to a 401(k), as well as a company match on your contributions), and sales incentives. Actual compensation for all roles will be based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Compensation for our more senior positions have a larger component of short-term cash bonus and long-term incentives.

The base salary range for this role is

$125,000 — $140,000 USD

Privacy Statement

Our employees are in the office 5 days per week in New York and 4 days per week in all other offices. If you have questions on this policy or the application process, please reach out to View email address on click.appcast.io

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Finance and Sales

• Industries

  Insurance

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