Manager II - Risk Analytics

About the role

Marsh Risk Analytics Solutions is looking for a Manager II to lead technical peer review of actuarial analyses, manage analytical engagements and turn complex modelling into clear guidance for clients. The role reviews lead analysts' work, oversees the accuracy, quality and timely delivery of client projects, and presents findings to senior decision-makers such as CFOs, Treasurers and other C-suite executives. It suits an experienced actuary, statistician, mathematician or quantitative professional; actuarial credentials are highly valued but not required.

Key responsibilities

• Review lead analysts' data, assumptions, methodologies, calculations, model outputs and deliverables, and challenge unsupported assumptions
• Oversee Monte Carlo simulations, loss distributions, retained-loss volatility and insurance program comparisons
• Manage engagements from planning through delivery, setting scope, milestones and deadlines and resolving data gaps and delivery risks
• Lead Risk Finance Optimization and risk appetite engagements, helping clients evaluate deductibles, retentions, limits and premiums
• Present clear, decision-oriented findings to risk managers, finance leaders and executives
• Develop analysts through constructive feedback and strengthen review standards, documentation, tools and workflows
• Partner with colleagues to understand client needs and explain the firm's capabilities to existing and prospective clients

Required profile

• Six or more years of relevant technical experience in actuarial analysis, statistics, mathematical modeling, data science, risk analytics or a related quantitative field
• Experience reviewing complex analytical work and giving actionable feedback
• Strong project management skills and clear written and verbal communication skills
• Preferred: actuarial progress toward ACAS or FCAS, or an earned ACAS or FCAS; other actuarial credentials such as ASA or FSA are also valued
• Preferred: insurance experience (property and casualty, loss modeling, risk financing), consulting or advisory background, stochastic modeling and Monte Carlo simulation experience, and experience presenting to senior executives

Required skills

• Probability, statistics and quantitative modeling
• Monte Carlo simulation and stochastic modeling
• Risk financing and actuarial analysis

What we offer

• Base salary range of $115,500 to $245,900, with possible performance-based incentives
• Health and welfare benefits, tuition assistance, 401K and other retirement programs, and employee assistance programs
• Hybrid work, with at least three days per week in the office or onsite with clients