Full job description This position will be critical in achieving our vision of establishing predictive analytics as a competitive advantage of MAPFRE USA. Work has strategic impact on potentially all functional areas including marketing, product, actuary, operations, and claims. Responsible for research and development of predictive models and analytical techniques for subjects involving insurance pure premiums, customer life time value, customer buying behaviors, retention and other related topics utilizing internal and external data. The analysis and modeling will be tested via implementation both broadly and on a pilot basis to allow us to learn and refine our approaches in rapid succession.
Apply predictive models, leveraging your strong analytical skills and medium insurance knowledge to design & develop analytic solutions for multiple business areas. Apply cutting-edge Generative AI techniques including but not limited to prompt engineering, LLM fine-tuning, RAG, and Agents, to solve complex business problems in the insurance domain. Knowledge, Skills and Abilities:
Education and Experience
Degree in Statistics, Economics, Mathematics, Finance, Engineering, Science, or a related quantitative analytical field.
Technical Skills
Knowledge of statistical techniques including GLM – multiple regression, logistic regression, log-linear regression, and variable selection, machine learning techniques Multivariate analysis - Clustering, factor, principal component, etc. Forecasting – time series, etc. Basic programming skills in SQL, SAS, PYTHON or R
Competencies
Ability to meet deadlines
Preferred Qualifications:
Experience in insurance, banking, credit card or other financial industries, or comparable consulting experience Experience building predictive models on very large datasets Experience applying advanced predictive analytics to develop solutions for areas such as marketing, underwriting, pricing, product, product development, risk management, operational optimization, retention, fraud detection, and claim management Good understanding of the business of P&C insurance and insurance data Good verbal and written communication skills; Be able to explain technical results to technical and non-technical audiences Knowledge of survival analysis, Bayesian analysis, discriminant, correspondence, multi-dimensional scaling, decision trees, GAM, neural networks, text mining and geospatial analysis Proficient in data modeling, merge/purge, query, and reporting in SAS, DBMS (e.g. Oracle, DB2, ACCESS), and other systems VBA, EXCEL, ACCESS, SQL Server, Teradata, UNIX, LINUX, MVS, R, SAS Enterprise Miner, Congos, C, C++, JAVA, or other programming If you require an accommodation for a disability so that you may participate in the selection process, you are encouraged to contact the MAPFRE Insurance Talent Acquisition team at .
We are proud to be an equal opportunity employer.
