Data Science Actuary
Position Overview The Data Science Actuary is a qualified actuary with advanced analytics capabilities.
Lead projects to develop and implement predictive modeling solutions for US Mortality Markets division.
Develops out new capabilities including research into USMM experience and emerging topics of interest, enabling experience studies, defining data science roadmap, and driving forward future state analytical capabilities within USMM.
Responsibilities Serve as an expert in statistical modeling, insurance applications / implementation of predictive modeling and advanced data analytics to both internal stakeholders and external clients.
Lead projects to design, develop, refine, interpret and implement end-to-end statistical models to support the development or enhancements of actuarial assumptions for the US Mortality Markets division at RGA.
Develops, maintains and reviews data analysis/modeling roadmap, procedures, and systems.
Leads development and enhancement of underlying processes and recommends improvements in data analysis /modeling best practice standards including supporting the expansion of the USMM analytics ecosystem into cloud-based architecture.
Enhance RGA's image as the data analytics expert in the industry.
Present work products through various outlets including internal meetings, client visits, industry meetings, and internal or external publications.
Actively participate in other research-related initiatives.
Actively pursues a broader understanding of US Mortality Markets business.
Requirements Education and ExperienceRequired:
Bachelor's degree in Mathematics, Finance, Statistics, Actuarial Science, or related fieldFSA Accreditation7
years of actuarial experience3
years statistical modeling experience for insurance or related applications (GLM, Decision Trees, Time Series, Regression, etc.
)Preferred:
Master's degree or PhD in Statistics, Actuarial Science, Business, Finance, Economics, or related field7
years of experience with statistical modeling for insuranceSkills and AbilitiesRequired:
Advanced technical and analytical skills, including statistical programs (ex.
:
R, Python, SAS, MATLAB, Gauss), spreadsheets (VBA) and database applications (Snowflake, Oracle, SQL or equivalent technology).
Highly advanced traditional actuarial analysis skills, including multivariate analysis and experience studies.
Strong ability to apply advanced analytics techniques to traditional actuarial problems.
Advanced ability to compile, analyze, refine, model and interpret very large data sets.
Advanced knowledge in econometrics, statistics, math and/or computational finance.
Advanced oral and written communication skills demonstrating the ability to share insights and explain technical topics clearly and concisely.
Advanced ability to liaise with individuals across a wide variety of operational, functional and technical disciplinesStrong collaboration skills, including the ability to mentor less experienced colleagues.
Advanced ability to establish and maintain best practices for statistical modeling within actuarial functionsActs as a resource for colleagues with less experience; may lead small projects with manageable risks and resource requirementsAdvanced ability to take ownership in projects and drive them to completion with minimal guidanceAdvanced ability to set goals and handle multiple projects simultaneously through appropriately balancing priorities, deadlines, and deliverablesStrong curiosity and a self-motivated desire to learn new skills and techniques and apply those to traditional life insurance problemsAbility to incorporate expert judgment into statistical modeling techniquesPreferred:
Ability to apply machine learning techniques to solve life insurance problemsAdvanced experience in computational finance, econometrics, statistics and math.
Company Overview Reinsurance Group of America, Incorporated (NYSE:
RGA) is one of the largest global providers of life reinsurance, with offices around the world.
RGA delivers expert solutions in individual life reinsurance, individual living benefits reinsurance, group reinsurance, financial solutions, facultative underwriting and product development.
Our mission is to enhance our clients' prosperity by supporting their financial and risk management capabilities.
The general pay range for this position is $129,200 to $197,515 per year.
Base pay varies depending on job-related knowledge, skills, experience and market location.
In addition, RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan.
RGA also maintains a full range of health, retirement and other employee benefits.
#LI-TS1#LI-REMOTEJob DetailReference numberUS08333Date posted07/07/2023writePostingDate(postingDate_posting_start_date, 2023-07-07 05:
00:
00, US/Central)Closing date12/07/2024writePostingDate(postingDate_posting_end_date, 2024-07-13 04:
59:
59, US/Central)LocationRemoteJob FunctionsActuarialWork LocationRemote Recommended Skills Actuarial Science Architecture Big Data Communication Curiosity Data Analysis Estimated Salary: $20 to $28 per hour based on qualifications.
Lead projects to develop and implement predictive modeling solutions for US Mortality Markets division.
Develops out new capabilities including research into USMM experience and emerging topics of interest, enabling experience studies, defining data science roadmap, and driving forward future state analytical capabilities within USMM.
Responsibilities Serve as an expert in statistical modeling, insurance applications / implementation of predictive modeling and advanced data analytics to both internal stakeholders and external clients.
Lead projects to design, develop, refine, interpret and implement end-to-end statistical models to support the development or enhancements of actuarial assumptions for the US Mortality Markets division at RGA.
Develops, maintains and reviews data analysis/modeling roadmap, procedures, and systems.
Leads development and enhancement of underlying processes and recommends improvements in data analysis /modeling best practice standards including supporting the expansion of the USMM analytics ecosystem into cloud-based architecture.
Enhance RGA's image as the data analytics expert in the industry.
Present work products through various outlets including internal meetings, client visits, industry meetings, and internal or external publications.
Actively participate in other research-related initiatives.
Actively pursues a broader understanding of US Mortality Markets business.
Requirements Education and ExperienceRequired:
Bachelor's degree in Mathematics, Finance, Statistics, Actuarial Science, or related fieldFSA Accreditation7
years of actuarial experience3
years statistical modeling experience for insurance or related applications (GLM, Decision Trees, Time Series, Regression, etc.
)Preferred:
Master's degree or PhD in Statistics, Actuarial Science, Business, Finance, Economics, or related field7
years of experience with statistical modeling for insuranceSkills and AbilitiesRequired:
Advanced technical and analytical skills, including statistical programs (ex.
:
R, Python, SAS, MATLAB, Gauss), spreadsheets (VBA) and database applications (Snowflake, Oracle, SQL or equivalent technology).
Highly advanced traditional actuarial analysis skills, including multivariate analysis and experience studies.
Strong ability to apply advanced analytics techniques to traditional actuarial problems.
Advanced ability to compile, analyze, refine, model and interpret very large data sets.
Advanced knowledge in econometrics, statistics, math and/or computational finance.
Advanced oral and written communication skills demonstrating the ability to share insights and explain technical topics clearly and concisely.
Advanced ability to liaise with individuals across a wide variety of operational, functional and technical disciplinesStrong collaboration skills, including the ability to mentor less experienced colleagues.
Advanced ability to establish and maintain best practices for statistical modeling within actuarial functionsActs as a resource for colleagues with less experience; may lead small projects with manageable risks and resource requirementsAdvanced ability to take ownership in projects and drive them to completion with minimal guidanceAdvanced ability to set goals and handle multiple projects simultaneously through appropriately balancing priorities, deadlines, and deliverablesStrong curiosity and a self-motivated desire to learn new skills and techniques and apply those to traditional life insurance problemsAbility to incorporate expert judgment into statistical modeling techniquesPreferred:
Ability to apply machine learning techniques to solve life insurance problemsAdvanced experience in computational finance, econometrics, statistics and math.
Company Overview Reinsurance Group of America, Incorporated (NYSE:
RGA) is one of the largest global providers of life reinsurance, with offices around the world.
RGA delivers expert solutions in individual life reinsurance, individual living benefits reinsurance, group reinsurance, financial solutions, facultative underwriting and product development.
Our mission is to enhance our clients' prosperity by supporting their financial and risk management capabilities.
The general pay range for this position is $129,200 to $197,515 per year.
Base pay varies depending on job-related knowledge, skills, experience and market location.
In addition, RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan.
RGA also maintains a full range of health, retirement and other employee benefits.
#LI-TS1#LI-REMOTEJob DetailReference numberUS08333Date posted07/07/2023writePostingDate(postingDate_posting_start_date, 2023-07-07 05:
00:
00, US/Central)Closing date12/07/2024writePostingDate(postingDate_posting_end_date, 2024-07-13 04:
59:
59, US/Central)LocationRemoteJob FunctionsActuarialWork LocationRemote Recommended Skills Actuarial Science Architecture Big Data Communication Curiosity Data Analysis Estimated Salary: $20 to $28 per hour based on qualifications.
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