Munich Re

Data Scientist - Catastrophe Risk & Portfolio Analytics

Munich Re$88K — $105K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2+ years of data science experience in (re)insurance or related field.
  • Bachelor's or Master's degree in a relevant discipline (Business Analytics, Statistics, etc.).
  • Proficiency in Python and SQL; experience with Databricks is advantageous.
  • Strong analytical skills with the ability to derive insights from complex datasets.
  • Familiarity with catastrophe modeling platforms (e.g., Moody's RMS, Verisk/AIR) is a bonus.

Responsibilities

  • Support risk analytics by preparing and validating catastrophe modeling data.
  • Manage exposure data by collecting, cleansing, and enriching datasets.
  • Identify and rectify data quality issues across various sources.
  • Develop and maintain reports and dashboards for portfolio risk insights.
  • Collaborate with cross-functional teams to ensure data accuracy.
  • Assist in studies to measure and monitor catastrophe risks.
  • Document analytical processes to enhance operational efficiency.

Benefits

  • Two health insurance plan options (PPO or High Deductible).
  • Prescription drug coverage included in health plans.
  • Vision and dental insurance plans available.
  • Generous PTO starting at 24 days per year, increasing with service.
  • Company-funded retirement savings plan alongside a robust 401k with matching.
Full Job Description
Data Scientist - Catastrophe Risk & Portfolio Analytics:

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

About Munich Re

Munich Re is a leading global provider of reinsurance, primary insurance and insurance-related risk solutions. The company is headquartered in Munich, Germany. Munich Re operates in all lines of insurance and has a presence in all major markets worldwide. Munich Re's business model is based on the combination of primary insurance and reinsurance under one roof. The company has three business segments: reinsurance, primary insurance, and Munich Health. Munich Re's global premium income amounted to ?54.5 billion in 2020.
Learn more about Munich Re
Size
41,000 employees
Industry

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