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Insurance Risk Engineer Jobs in New York City, NY

AECOM

Risk Analyst

New York, NY · On-site

Alternatively, the employer will accept a Master's degree in Civil Engineering, Engineering ... insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.

AECOM

Risk Analyst

New York, NY

Alternatively, the employer will accept a Master's degree in Civil Engineering, Engineering ... insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.

AECOM

Risk Analyst

New York, NY · On-site

Alternatively, the employer will accept a Master's degree in Civil Engineering, Engineering ... insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.

WebMD

Risk & Compliance Engineer

Newark, NJ · On-site

As a Vendor Risk & Compliance Engineer, you will be uniquely positioned to enhance Vendor risk ... Health Insurance (medical, dental, and vision coverage) * Paid Time Off (including vacation, sick ...

TEKsystems

Risk Manager

White Plains, NY

$78 - $86.21/hr

Develop insurance strategies aligned with organizational risk tolerance and business objectives ... claims frequency Recommend engineering and administrative controls to reduce loss exposure.

Trexin Consulting

Risk Manager

White Plains, NY · On-site

The Commercial Insurance & Casualty Risk Manager is responsible for developing, implementing, and ... Recommend engineering and administrative controls to reduce loss exposure. * Participate in ...

WebMD

Risk & Compliance Engineer

Newark, NJ · On-site

As a Vendor Risk & Compliance Engineer, you will be uniquely positioned to enhance Vendor risk ... Health Insurance (medical, dental, and vision coverage) * Paid Time Off (including vacation, sick ...

Everest Re Group

Risk Analyst I

Warren, NJ · Hybrid

$57K - $98K/yr

... Engineering, or a related quantitative discipline. * 1-3 years of experience in risk management, exposure management, insurance analytics, catastrophe modeling, or a related field. * Strong ...

Ramp

Software Engineer, Data Platform

New York, NY · On-site

$168K - $324K/yr

You'll partner with applied scientists, AI engineers, Risk engineers, and other ML developers on ... Pet insurance * In-office perks: lunch, snacks, drinks, and more * Relocation expense coverage to ...

Pillar

Head of Risk

New York, NY · Hybrid

You will work directly with the executive team, engineering, compliance, and product to ensure that ... Health, Dental, Vision and Life Insurance * Unlimited PTO and Flexible Hours * Paid lunch, coffee ...

Pillar

Head of Risk

New York, NY · On-site

You will work directly with the executive team, engineering, compliance, and product to ensure that ... Health, Dental, Vision and Life Insurance * Unlimited PTO and Flexible Hours * Paid lunch, coffee ...

Aflac

AVP, Quantitative Risk Analyst

Manhattan, NY · On-site

$140K - $185K/yr

... insurance), either in industry, or as a consultant. * Strong model development experience in programming languages such as C#, Python, and VBA required. Or an equivalent combination of education and ...

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Showing results 21-40

All JobsInsurance Risk Engineer JobsInsurance Risk Engineer Jobs in New York City, NY

Insurance Risk Engineer information

See New York City, NY salary details

$42.7K

$111.3K

$150.4K

How much do insurance risk engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for insurance risk engineer in New York City, NY is $111,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,900.00 and $127,500.00 per year, depending on experience, location, and employer.

What does an insurance risk engineer do?

An Insurance Risk Engineer assesses potential risks associated with a business or property to help insurers make informed underwriting decisions. They analyze safety protocols, operational procedures, and structural conditions to identify hazards and recommend risk mitigation strategies. Their goal is to minimize potential losses for both the insurer and the policyholder by implementing effective preventive measures. Risk engineers often conduct site inspections, review compliance with industry regulations, and provide detailed reports to underwriters. This role requires a strong understanding of engineering principles, risk assessment methodologies, and industry-specific safety standards.

What are the key skills and qualifications needed to thrive as an insurance risk engineer?

To thrive as an Insurance Risk Engineer, you need a solid background in engineering or a related technical field, strong analytical abilities, and in-depth knowledge of risk assessment methodologies. Familiarity with risk modeling software, industry safety codes, and certifications such as CFPS (Certified Fire Protection Specialist) or ARM (Associate in Risk Management) is highly valued. Exceptional communication, problem-solving skills, and attention to detail are key soft skills for effectively interacting with clients and translating complex technical findings. These competencies ensure accurate risk evaluations, support underwriters, and help mitigate losses, ultimately protecting both insurers and their clients.

What job categories do people searching Insurance Risk Engineer jobs in New York City, NY look for?

The top searched job categories for Insurance Risk Engineer jobs in New York City, NY are:

What cities near New York City, NY are hiring for Insurance Risk Engineer jobs?

Cities near New York City, NY with the most Insurance Risk Engineer job openings:

Insurance Risk Engineer jobs near you
Infographic showing various Insurance Risk Engineer job openings in New York City, NY as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 28% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $111,320 per year, or $53.5 per hour.

Data Strategy Lead, Digital Client Experience (DCX) - Marsh

Marsh & McLennan Companies, Inc.

New York, NY • On-site

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

Company:
Marsh
Description:
Data Strategy Lead, Digital Client Experience (DCX) | Marsh | Hybrid | New York | Boston |
We are seeking a talented individual to join the Digital Client Experience (DCX) team at Marsh. This role will be based in New York or Boston and is a hybrid position, with a requirement to work in the office at least three days per week.
DCX (Digital Client Experience) is a Marsh Risk unit that incubates and scales client-facing digital solutions, bringing together product, design, technology, analytics, and applied AI to help clients shape risk strategy, optimize risk transfer, and proactively manage and mitigate risk. This is a hands-on, strategic role at the intersection of data strategy, product management, knowledge architecture, AI enablement, governance, and business transformation. You will help shape how Marsh Risk transforms proprietary data, documents, analytics, and institutional expertise into reusable, well-governed, AI-ready knowledge assets. Working closely with colleagues across product, analytics, engineering, operations, and governance, you will help build the foundations for knowledge products that support client-facing solutions and more informed operational decision-making.
We will count on you to:
  • Define the DCX data and knowledge strategy, setting a clear roadmap for converting proprietary information into reusable knowledge and data products.
  • Prioritize high-value domains and use cases with business, content, product, and operations partners, ensuring focus on outcomes that matter.
  • Build reusable knowledge products across areas such as client intelligence, claims intelligence, exposure data, risk engineering insight, benchmarking, policy wording, market appetite, and industry risk profiles.
  • Bridge analytics and operations by embedding insight into workflows, processes, and day-to-day decision-making rather than limiting it to dashboards and reports.
  • Define the knowledge layer, including core business entities, relationships, taxonomies, ontologies, semantic standards, and entity resolution across key business concepts.
  • Establish governance, trust, evaluation standards, and operating models that support AI-ready knowledge products at scale.
  • Support the use of AI and automation to accelerate discovery, classification, metadata extraction, data profiling, duplicate detection, and corpus preparation.
  • Work with cross-functional teams to create feedback loops that continuously improve metadata, retrieval, quality, and usability of knowledge assets.
  • Help define requirements for the AI-readiness of documents such as reports, presentations, contracts, broker notes, risk assessments, policy wording, claims summaries, and client deliverables.
  • Partner with engineering teams to help shape tools that can search, retrieve, query, summarize, compare, and evaluate knowledge assets.
  • Contribute directly to priority workstreams across DCX, ensuring ideas are translated into practical, usable solutions.

What you need to have:
  • Proven experience in data strategy, data product management, enterprise data platforms, knowledge management, AI enablement, or digital product leadership.
  • Demonstrated ability to bridge analytics and operations, translating data insight into operational practice and vice versa.
  • Strong understanding of how AI systems use data, including retrieval-augmented generation, vector search, metadata, semantic layers, knowledge graphs, and agentic workflows.
  • Experience working with complex enterprise data environments, including fragmented systems, inconsistent data quality, and mixed structured and unstructured sources.
  • Demonstrated ability to partner with senior business leaders, technology teams, data governance, legal, compliance, and product teams.
  • Experience defining data ownership, stewardship models, business glossaries, data quality frameworks, or domain data products.
  • Strong product mindset, with the ability to connect technical enablement to business value and user adoption.
  • Ability to operate in ambiguity and create structure across complex, cross-functional environments.
  • Experience in financial services, insurance, risk advisory, professional services, or another data-rich regulated industry.
  • Familiarity with modern lakehouse, data catalogue, data governance, and AI platform architectures.
  • Familiarity with Databricks or comparable unified data and AI platforms, including Spark-based lakehouse environments.
  • Experience preparing proprietary document corpora for AI search, summarization, and reasoning.

What makes you stand out?
  • Exposure to ontology design, knowledge graphs, semantic modeling, or entity resolution.
  • Working knowledge of enterprise AI governance, model evaluation, responsible AI, or AI risk controls.
  • Hands-on experience building or scaling data products for client-facing or colleague-facing digital platforms.
  • Enabled teams to adopt new data, knowledge, or AI capabilities in sustainable ways.

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 Risk is a business of Marsh (NYSE: MRSH), 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 about Marsh Risk, 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 $164,000 to $327,900.
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.

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