Lead Portfolio and Performance Analytics

Sompo

München

Vor Ort

EUR 80.000 - 120.000

Vollzeit

14 Tage+

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Benefits dieser Stelle

Expansive Health & Wellness Benefits
Generous Retirement & Savings Plans
Global Parental Leave & Adoption Assistance

Zusammenfassung

Sompo is seeking a Lead, Portfolio and Performance Analytics in Munich to provide central analytics support for commercial insurance operations. This role involves evaluating underwriting performance and driving growth through data analysis.

The ideal candidate will have 5-10 years of experience in commercial insurance and strong proficiency in data analytics tools like Python or R. A generous benefits package is offered, alongside opportunities for career development and collaboration with cross-functional teams.

Qualifikationen

  • 5 to 10 years of experience in commercial insurance, focusing on large corporate industry portfolios.
  • Strong knowledge of underwriting principles and risk aggregation.
  • Proficiency in data analytics tools and predictive modeling.

Aufgaben

  • Evaluate underwriting performance and identify trends.
  • Analyze risk accumulation across perils and geographies.
  • Create executive dashboards to provide data-driven insights.

Kenntnisse

Data analytics tools
Predictive modeling (Python or R)
Leadership skills
Risk management
Underwriting principles

Ausbildung

Advanced degree in Finance, Actuarial Science, Data Analytics, or related field

Jobbeschreibung

You’re invited to join Sompo’s CUO Office in Continental Europe as a Lead, Portfolio and Performance Analytics, where you’ll build central analytics support for our commercial insurance operations.

Location: Based primarily in Zurich, with potential to work in Paris, Milan, Cologne or Munich.

What You’ll Be Doing
  • Portfolio performance analysis: evaluate underwriting performance, identify trends, and analyze profitability, risk quality, and portfolio composition to drive growth and improvement. Prepare quarterly and ad-hoc performance reviews for leadership.
  • Underwriting portfolio steering: refine risk appetite, recommend strategies for growth or remediation, support underwriting plans, and monitor execution against targets.
  • Risk aggregation & management: analyze risk accumulation across perils and geographies, monitor exposure limits, and integrate data into reinsurance and capital modeling.
  • Catastrophe & scenario analysis: conduct catastrophe loss scenarios, assess tail risks, and support stress testing, capital planning, and reinsurance structuring.
  • Pricing & profitability support: collaborate with pricing teams to analyze rate adequacy, validate assumptions, and recommend underwriting and renewal actions.
  • Predictive analytics: develop predictive models and leverage advanced analytics to support underwriting automation and decision-making tools.
  • Reporting & dashboards: create executive dashboards, automate underwriting metric reporting, and provide data-driven insights for decision-makers.
  • Reinsurance strategy support: provide exposure and performance data to inform treaty and facultative decisions and improve retention strategies.
  • Regulatory & capital requirements: support regulatory filings, collaborate on risk assessments, and align portfolio decisions with capital efficiency.
  • Innovation & technology: pilot AI models, integrate new data sources, and drive digitization of portfolio management processes.
What You’ll Bring
  • Advanced degree in Finance, Actuarial Science, Data Analytics, Risk Management, Business Administration, or a related field.
  • 5 to 10 years of experience in commercial insurance, focusing on large corporate industry portfolios.
  • Strong knowledge of underwriting principles, risk aggregation, catastrophe modeling, and reinsurance structures.
  • General understanding of insurance product coverages, resulting exposures and their triggering portfolio impacts.
  • Proficiency in data analytics tools and predictive modeling (Python or R).
  • Expertise in regulatory compliance (e.g., Solvency II, NAIC), capital modeling, and risk management.
  • Proven leadership and collaboration skills with cross-functional teams and executive management.
  • Innovative, investigative mindset with experience leveraging technology, advanced analytics, and digitization for portfolio optimization.
  • Natural curiosity with a drive to uncover insights and understand underlying patterns.
Our Benefits
  • Expansive Health & Wellness Benefits
  • Generous Retirement & Savings Plans
  • Global Parental Leave & Adoption Assistance

Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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