Marsh McLennan Logo

Marsh McLennan

Vice President, Analytics Models & Innovation

Posted Yesterday
Be an Early Applicant
In-Office
Lenox, MI
122K-260K Annually
Senior level
In-Office
Lenox, MI
122K-260K Annually
Senior level
Leads deployment and integration of actuarial models into digital products. Manages delivery planning, coordinates analytics and development teams, establishes governance and testing frameworks, guides product design, explains methodologies and model outputs to technical and executive stakeholders, and supports client relationships and growth. Requires strong quantitative modeling, digital product development, communication, project management, and stakeholder engagement skills.
The summary above was generated by AI
Company:Marsh

Description:

Vice President, Analytics Models & Innovation


Marsh Risk Analytics Solutions is seeking a Vice President to lead digital deployment and integration of our actuarial models and content. Your primary responsibility will be to engage with our digital product development teams and providing expert guidance on actuarial methodologies, model integrations, and product development. You will also be involved in product design, testing, and presenting methodologies to senior internal stakeholders.


This opportunity is well suited to an experienced actuary, statistician, mathematician, or quantitative professional with experience of digital product development. Actuarial credentials are very highly valued but are not required.


We will count on you to:

  • Manage model deployment and integration with digital products from planning through delivery. Establish scope, responsibilities, milestones, and deadlines; coordinate analysts and development teams; and proactively resolve methodological gaps, technical questions, and delivery risks.
  • Guide product development and integration.  Work directly with the digital product development team throughout the product lifecycle to help them understand analytics content, design world-class digital analytics products, and meet development deadlines.
  • Be the primary point of contact and subject matter expert for digital analytics content. Educate stakeholders on appropriate methodologies, calculations, and model outputs. Create a strong governance framework around deploying and monitoring analytics content, building test frameworks, challenging use cases, and suggesting alternative approaches.
  • Present clear, justified methodology and design decisions. Explain results, uncertainty, and implications for product strategists, analytics leaders, and executive audiences. Develop presentations that connect technical analysis to the decisions our stakeholders need to make.
  • Contribute to stakeholder relationships and growth. Partner with colleagues to understand client needs, shape appropriate analytical approaches, and explain our capabilities to existing and prospective clients.

What you need to have:

  • Six or more years of relevant technical experience in actuarial analysis, statistics, mathematical modeling, data science, risk analytics, or a related quantitative field.
  • A strong foundation in probability, statistics, and quantitative modeling, with the judgment to evaluate assumptions, assess results, and recognize model limitations.
  • Significant digital product development experience, or experience deploying models to production environments
  • Strong project management skills, including the ability to coordinate contributors, manage competing priorities, and deliver high-quality work against deadlines.
  • Clear written and verbal communication skills, with the ability to explain technical concepts and their business implications to nontechnical audiences.
  • A collaborative approach to problem-solving, accountability for work quality, and an interest in coaching and developing colleagues.

What makes you stand out:

  • Actuarial exam progress toward ACAS or FCAS, or an earned ACAS or FCAS designation. Other actuarial credentials, including ASA or FSA, are also valued.
  • Insurance experience, particularly in property and casualty, loss modeling, insurance program evaluation, or risk financing.
  • Software development experience, particularly developing analytics tools and products
  • Experience with stochastic modeling, Monte Carlo simulation, predictive modeling, or retained-loss analysis.

Why join our team?

We help you be your best through professional development opportunities, interesting work and supportive leaders. We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities. Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.


We welcome applicants from actuarial, statistics, mathematics, and other quantitative backgrounds. If you meet the core requirements, we encourage you to apply even if you do not meet every preferred qualification.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.

Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting [email protected].

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

The applicable base salary range for this role is $121,900 to $259,700.

The base pay offered will be determined on factors such as experience, skills, training, location, certifications, education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives.

We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs.

Similar Jobs

A Minute Ago
In-Office or Remote
United States
40K-100K Annually
Senior level
40K-100K Annually
Senior level
Software • Hospitality
Oversee quality assurance audits across a territory of more than 100 hotels. Conduct on-site evaluations, assess cleanliness, safety, and brand-standard compliance, communicate findings to property leadership, and provide actionable improvement recommendations. Manage audit scheduling, travel plans, expenses, reports, and annual goals while collaborating with hotel owners, management companies, brand teams, and senior leaders. Travel approximately 90% of the time.
Top Skills: MS Office
2 Minutes Ago
Remote or Hybrid
United States
101K-170K Annually
Senior level
101K-170K Annually
Senior level
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Design, operate, and scale SailPoint’s AWS-based Kubernetes infrastructure and service mesh for a global, mission-critical SaaS platform. Responsibilities include cluster architecture, networking, security, GitOps, CI/CD, observability, capacity planning, incident response, compliance, and platform standards. The role influences engineering teams globally, participates in 24x7 on-call support, leads service mesh strategy, and improves reliability, performance, deployment efficiency, and operational practices.
Top Skills: Amazon EksAWSCi/CdFedrampGitopsGoGrafanaHelmInfrastructure As CodeIstioKubernetesLinkerdLinuxNetwork PoliciesOpensearchPci DssPod Security StandardsPrometheusPythonRbacService MeshShell ScriptingTerraform
3 Minutes Ago
Hybrid
Senior level
Senior level
Automotive • Hardware • Robotics • Software • Transportation • Manufacturing
Supervise Controls Engineers and Technologists while supporting production, maintenance, and engineering operations. Lead equipment improvement projects, design and install PLC-based control systems, commission electrical and functional test equipment, maintain HMI and SCADA systems, troubleshoot PLCs and industrial networks, support robotics, safety systems, and vision systems, and ensure technical documentation, training, performance reviews, and project startup activities are completed effectively.
Top Skills: Allen Bradley Rslogix 500Allen Bradley Rslogix 5000CitecCognexDevicenetEthernet/IpFactorytalk View StudioFanucHmiIfmIo-LinkKeyenceExcelMicrosoft PowerpointMicrosoft WordOmronPanelviewPanelview PlusPlcPoint I/ORs Studio 5000Safety PlcsScadaSickUniversal Robots

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account