SVP, Surety - Client Analytics & Surety Solutions
Marsh McLennan is hiring an SVP, Surety - Client Analytics & Surety Solutions in New York, United States. It pays $175k-$275k a year and Level rates it ; you can apply on Level.
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Guy CarpenterDescription:
We are seeking a talented individual to join our Surety – Client Analytics & Surety Solutions team at Marsh Re. This role will be based in New York or Morristown, NJ. This is a hybrid role that has a requirement of working at least three days a week in the office.
We are seeking a highly technical, client-facing senior credit analyst or banker with strong analytical capabilities to serve as the critical bridge between broking and analytics. This role combines deep quantitative credit expertise with a consultative, entrepreneurial mindset to deliver compelling client-ready analysis, support new business development, and strengthen our Surety Center of Excellence.
We will count on you to:
- Serve as the primary bridge between broking and analytics operations, translating complex quantitative credit data into clear, actionable insight for both internal stakeholders and clients.
- Bring deep credit analyst expertise (10–15 years evaluating complex credit risk) to support surety placements and related client deliverables.
- Build sophisticated, client-ready Excel models and PowerPoint presentations that turn dense quantitative data into clear, decision-ready content.
- Partner closely with the Analytics team on the analytical work behind RFP responses, ensuring proposals are technically rigorous and compellingly presented to win new business.
- Cultivate strong internal and external relationships with brokers, analytics teams, and clients to retain and grow a robust book of surety business.
- Communicate confidently and clearly, translating quantitative findings into conversations and presentations that resonate with non-technical client stakeholders.
- Stay current on broader (re)insurance and financial market developments, continuously building subject-matter depth to better serve clients.
- Operate with an entrepreneurial, proactive mindset—identifying opportunities, taking initiative, and managing multiple deliverables in a fast-paced environment without sacrificing quality.
What you need to have:
- 10–15 years of experience with deep technical grounding in credit, risk, and quantitative analysis (banking and/or comparable credit analyst background).
- Superior Excel and PowerPoint skills, with demonstrated experience producing polished, client-ready models and presentations.
- Strong written and verbal communication skills, including demonstrated experience presenting complex quantitative concepts to clients and senior stakeholders.
- Ability to thrive in a fast-paced, deadline-driven environment while managing shifting priorities and multiple client deliverables.
What makes you stand out:
- Banking experience and/or actuarial background or equivalent quantitative training.
- Demonstrated consultative, entrepreneurial, and self-directed approach to identifying opportunities and driving work forward.
• Genuine curiosity and interest in developing deeper line-of-business expertise in surety and broader market dynamics.
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.
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 reasonableaccommodations@marsh.com.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 $175,000 to $275,000.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.
How we rate this
SVP, Surety - Client Analytics & Surety Solutions at Marsh McLennan rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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