stage · Boston; Des Moines
Skills: Python, AWS
COMPANY OVERVIEW KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries. POSITION OVERVIEW This position, located in the Boston, MA or Des Moines, IA office, is a permanent role within the Model production team supporting the execution, testing and end-to-end production lifecycle of actuarial models for the Annuity and Life Insurance businesses. The candidate will execute and test models, prepare model inputs, review and analyze results within the control financial reporting processes. In addition to core Model Production responsibilities, this role will serve as a hands-on technical resource for Python/PySpark-based data transformation, model-input generation, automation, data validation, and production controls. The role will help migrate and maintain production processes on modern actuarial data and workflow technology while improving reliability, transparency, and efficiency. The candidate will work closely with Model Development, Valuation, Data, Transformation, and technology teams. KEY RESPONSIBILITIES Model Production Lead and perform accurate monthly and quarterly production runs using Integrate and MG-ALFA models to calculate US Statutory, Tax, US GAAP reserves, and other related actuarial balances. Prepare and validate model input files, including asset, liability, and scenario inputs. Review and analyze…
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