Job description

Data Scientist – Catastrophe Risk & Portfolio Analytics : American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty insurance leader that delivers products and services for residential property – such as manufactured homes and specialty dwellings – and the recreational market, including boats, personal watercraft, classic cars, and more. We provide specialty product solutions that cover what the competition often can’t. We write admitted products in all 50 states and have a premium volume of $2.2 billion. Headquartered in Amelia, Ohio, and with associates located across the United States, we are part of Munich Re’s Global Specialty Insurance division. Our employees receive boundless opportunity to grow their careers and make a difference every day - all in a flexible environment that helps them succeed both at work and at home. American Modern Insurance Group is seeking a Data Scientist to join our Portfolio Management and Reinsurance team to help deliver high-quality data and analytics that inform risk and portfolio decisions across the organization. This role focuses on exposure data management, data quality, catastrophe modeling support, and portfolio analytics. The ideal candidate enjoys working with complex datasets, solving data challenges, and contributing to business-critical risk management activities. Roles & Responsibilities: • Support catastrophe modeling, portfolio management, and risk analytics activities through data preparation, validation, and analysis. • Perform exposure data management activities, including data collection, validation, cleansing, transformation, and enrichment to support catastrophe modeling and portfolio optimization efforts. • Identify data quality issues, anomalies, and inconsistencies across multiple internal and external data sources, and recommend appropriate remediation actions. • Develop, maintain, and enhance recurring management reports, dashboards, and analytical tools that provide insights into portfolio risk and catastrophe exposure. • Collaborate with catastrophe modelers, portfolio managers, underwriting, actuarial, and data teams to ensure accurate and consistent exposure data. • Support companywide studies and analyses aimed at identifying, measuring, and monitoring catastrophe risk accumulations and key portfolio risk drivers. • Establish and maintain efficient, repeatable processes for sourcing, integrating, and validating data from multiple systems and vendors. • Assist with catastrophe modeling workflows, including data preparation, model input validation, results review, and reconciliation of outputs. • Support portfolio optimization analyses by providing high-quality exposure data, risk metrics, and analytical insights. • Document data processes, validation procedures, and analytical methodologies to promote consistency, transparency, and operational efficiency. • Continuously expand knowledge of catastrophe risk management, portfolio analytics, and relevant data technologies and tools. Required Technical Skills: • Strong analytical and problem-solving skills, with the ability to translate complex data into actionable business insights. • Experience working with large, complex datasets and performing data validation, quality assessment, cleansing, and transformation. • Proficiency in data wrangling and preparation techniques to support analytical and modeling applications. • Strong programming skills in Python and SQL; experience with Databricks is a plus. • Experience developing reports, dashboards, and data-driven analyses for business stakeholders; experience with Power BI is a plus. • Understanding of data structures, relational databases, and data integration concepts. • Ability to identify data anomalies, investigate root causes, and implement sustainable data quality solutions. • Strong attention to detail and commitment to data accuracy and integrity. • Excellent communication and collaboration skills, with the ability to work effectively across technical and business teams. Education, Certifications & Designations: • 2 years of data science experience in (re) insurance or another relevant industry . • Bachelor’s or Master’s degree in Business Analytics, Statistics, Actuarial Science, Economics, Finance, Mathematics or Computer Science or pursuing a relevant certification • Familiarity with insurance exposure data and catastrophe risk concepts. • Experience with catastrophe modeling platforms such as Moody’s RMS or Verisk/AIR is a plus. We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits: • Two options for your health insurance plan (PPO or High Deductible) • Prescription drug coverage (included in your health insurance plan) • Vision and dental insurance plans • Short and Long Term Disability coverage • Supplemental Life and AD&D plans that you can purchase for yourself and dependents (includes spouse/domestic partner and children) • Voluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity) In addition to the above insurance offerings, our employees also enjoy: • A robust 401k plan with up to a 5% employer match • A retirement savings plan that is 100% company funded • Paid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries • Eligibility to receive a yearly bonus as a Munich Re employee • A variety of health and wellness programs provided at no cost • A hybrid environment that gives you a choice in where and how you get work done • A corporately subsidized on-site cafeteria as well as a We Proudly Serve coffee shop • An on-site complimentary workout facility as well as walking trails on campus grounds • On-site wellness center complete with nurse practitioner • Financial assistance for adoptions and infertility treatment • Paid time off for eligible family care needs • Tuition assistance and educational achievement bonuses • Free parking • A corporate matching gifts program that further enhances your charitable donation • Paid time off to volunteer in your community At American Modern, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Applicants requiring employer sponsorship of a visa will not be considered for this position.

Requirements

Must-haves

Data Scientist – Catastrophe Risk & Portfolio Analytics :
Support catastrophe modeling, portfolio management, and risk analytics activities through data preparation, validation, and analysis.
Perform exposure data management activities, including data collection, validation, cleansing, transformation, and enrichment to support catastrophe modeling and portfolio optimization efforts.
Identify data quality issues, anomalies, and inconsistencies across multiple internal and external data sources, and recommend appropriate remediation actions.
Develop, maintain, and enhance recurring management reports, dashboards, and analytical tools that provide insights into portfolio risk and catastrophe exposure.
Collaborate with catastrophe modelers, portfolio managers, underwriting, actuarial, and data teams to ensure accurate and consistent exposure data.
Support companywide studies and analyses aimed at identifying, measuring, and monitoring catastrophe risk accumulations and key portfolio risk drivers.
Establish and maintain efficient, repeatable processes for sourcing, integrating, and validating data from multiple systems and vendors.
Assist with catastrophe modeling workflows, including data preparation, model input validation, results review, and reconciliation of outputs.
Support portfolio optimization analyses by providing high-quality exposure data, risk metrics, and analytical insights.
Document data processes, validation procedures, and analytical methodologies to promote consistency, transparency, and operational efficiency.
Continuously expand knowledge of catastrophe risk management, portfolio analytics, and relevant data technologies and tools.
Strong analytical and problem-solving skills, with the ability to translate complex data into actionable business insights.
Experience working with large, complex datasets and performing data validation, quality assessment, cleansing, and transformation.
Proficiency in data wrangling and preparation techniques to support analytical and modeling applications.
Understanding of data structures, relational databases, and data integration concepts.
Ability to identify data anomalies, investigate root causes, and implement sustainable data quality solutions.
Strong attention to detail and commitment to data accuracy and integrity.
Excellent communication and collaboration skills, with the ability to work effectively across technical and business teams.
2 years of data science experience in (re) insurance or another relevant industry .

Nice-to-haves

Strong programming skills in Python and SQL; experience with Databricks is a plus.
Experience developing reports, dashboards, and data-driven analyses for business stakeholders; experience with Power BI is a plus.
Experience with catastrophe modeling platforms such as Moody’s RMS or Verisk/AIR is a plus.
Eligibility to receive a yearly bonus as a Munich Re employee

Application prep

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Keywords to mirror

pythonsql

Platform: radancy
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Dental

Vision

401k

Paid Time Off

Wellness