Risk Consultant- P&C Insurance

About the role

We are expanding our Risk Consulting & Analytics team within the Swiss Re Risk Data Solutions division by searching for a dedicated professional to deliver analytics and consulting services across the insurance value chain to our clients.

Responsibilities

• Executing and supporting delivery on our client consulting offerings.
• Leading technical analyses and interpreting results to communicate with clients.
• Collaborating with multi-disciplined project teams to drive effective delivery.
• Developing, maintaining, and improving pricing models across P&C lines.
• Interacting and communicating with senior management and diverse client stakeholders.
• Occasional travel to client sites.

Requirements

• Strong technical underwriting/pricing analytics and problem-solving skills.
• Business mindset and can-do attitude.
• Able to assimilate complex information and turn it into actionable insights.
• Expertise in statistical tools, programming languages, and visualization tools (e.g. Python, R, SQL, MS PowerBI).
• Excellent knowledge of the primary insurance market for Property and Casualty lines of business.
• Experience building predictive models in a variety of forms (GLMs, tree-based models, etc.).
• Experience within the context of pricing models highly preferred.
• Consulting background or experience delivering consulting engagements to clients is a strong plus.

Qualifications

• 2-3+ years primary Property & Casualty underwriting, predictive modeling, actuarial, or analytics experience.
• Comfort with data analysis and manipulation in at least one programming language in the P&C insurance space.
• Flexibility to travel occasionally.

Skills

• Statistical tools, programming languages, and visualization tools (e.g. Python, R, SQL, MS PowerBI).
• Expertise in statistical tools, programming languages, and visualization tools (e.g. Python, R, SQL, MS PowerBI).
• Comfort with data analysis and manipulation in at least one programming language in the P&C insurance space.
• Experience building predictive models in a variety of forms (GLMs, tree-based models, etc.).

Benefits

Our company uses a hybrid work model requiring at least three days in the office each week, with the option to work onsite full-time if preferred. This position is not eligible for full-time telework, relocation assistance or visa sponsorship.

Pay

The specific salary offered for this or any given role will take into account a number of factors including but not limited to job location, scope of role, qualifications, complexity/specialization/scarcity of talent, experience, education, and employer budget.

Schedule

This position requires occasional travel to client sites.