Lead Portfolio and Performance Analytics

Sompo; Turbigo; Ibrido; EUR 80.000 - 100.000; Tempo pieno

Vantaggi offerti da questo lavoro

Health & Wellness Benefits

Retirement & Savings Plans

Global Parental Leave

Descrizione del lavoro

Sompo is seeking a Lead, Portfolio and Performance Analytics to provide central analytics support for commercial insurance operations. This role is based primarily in Zurich, with potential opportunities in Paris, Milan, Cologne, or Munich.

The successful candidate will have 5 to 10 years of experience, an advanced degree, and a strong understanding of underwriting principles, risk modeling, and data analytics tools like Python or R. The position comes with expansive benefits.

Competenze

• 5 to 10 years of experience in commercial insurance with large corporate portfolios.
• Expertise in regulatory compliance and capital modeling.
• Strong knowledge of catastrophe modeling and reinsurance structures.

Mansioni

• Evaluate underwriting performance and prepare performance reviews.
• Refine risk appetite and support underwriting plans.
• Analyze risk accumulation and monitor exposure limits.
• Conduct catastrophe loss scenarios and support capital planning.
• Collaborate with pricing teams on rate adequacy and underwriting actions.

Conoscenze

Data analytics tools

Predictive modeling (Python or R)

Underwriting principles

Risk aggregation

Formazione

Advanced degree in Finance or related field

Strumenti

Python

R

Descrizione del lavoro

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.