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Remote Insurance Risk Engineer Jobs in New York (NOW HIRING)

Ramp

Software Engineer, Data Platform

New York, NY · Remote

$168K - $324K/yr

You'll partner with applied scientists, AI engineers, Risk engineers, and other ML developers on ... vision insurance coverage for you, with partial coverage for dependents • One Medical annual ...

Wood Plc

Water Resources Engineer

New York, NY · Remote

$86K - $118K/yr

... Flood Insurance Program (NFIP) experience to join our highly collaborative team. The successful ... resources, flood risk management and environmental restoration projects #LI-Remote Skills ...

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Remote Insurance Risk Engineer information

What is a Remote Insurance Risk Engineer?

A Remote Insurance Risk Engineer is a professional who evaluates and analyzes potential risks for insurance clients, typically working from a remote location rather than on-site. Their main responsibilities include assessing properties, operations, and processes to identify hazards, recommending ways to minimize risks, and helping underwriters make informed decisions about policy coverage. They often use virtual tools, teleconferencing, and digital reports to perform their work efficiently from a distance. This role requires strong analytical skills, knowledge of safety regulations, and excellent communication abilities.

What are the key skills and qualifications needed to thrive as a Remote Insurance Risk Engineer, and why are they important?

To thrive as a Remote Insurance Risk Engineer, you need a background in engineering or risk management, strong analytical abilities, and knowledge of property and casualty insurance principles. Familiarity with risk assessment tools, loss control software, and relevant certifications such as ARM (Associate in Risk Management) are typically required. Excellent communication, self-motivation, and problem-solving skills are essential for collaborating with clients and working independently. These skills ensure accurate risk evaluations, effective client interactions, and the delivery of valuable recommendations to mitigate potential losses.

What is the difference between Remote Insurance Risk Engineer vs Remote Underwriter?

AspectRemote Insurance Risk EngineerRemote Underwriter
Required CredentialsRisk assessment certifications, actuarial knowledgeUnderwriting certifications, insurance licenses
Work EnvironmentAnalyzing data, assessing risks, collaborating remotelyReviewing applications, making coverage decisions remotely
Employer & Industry UsageInsurance companies, risk consulting firmsInsurance carriers, brokerage firms

Both roles involve remote work within the insurance industry, focusing on risk and policy decisions. While Remote Insurance Risk Engineers analyze and assess risks using data and technical skills, Remote Underwriters evaluate applications to determine coverage and premiums. Understanding these differences helps job seekers identify the right role based on their skills and certifications.

How does a Remote Insurance Risk Engineer effectively collaborate with underwriters and clients despite working remotely?

As a Remote Insurance Risk Engineer, collaboration with underwriters and clients typically occurs through virtual meetings, detailed risk assessment reports, and regular communication via email or phone. Engineers are responsible for conducting virtual or on-site inspections, documenting their findings, and providing actionable recommendations to underwriters to help them assess risk accurately. Building strong relationships and maintaining clear, prompt communication are essential, as is being proactive in addressing client questions or concerns. Most organizations provide digital tools and platforms to facilitate seamless teamwork across different locations.
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What are popular job titles related to Remote Insurance Risk Engineer jobs in New York? For Remote Insurance Risk Engineer jobs in New York, the most frequently searched job titles are:
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What cities in New York are hiring for Remote Insurance Risk Engineer jobs? Cities in New York with the most Remote Insurance Risk Engineer job openings:
Remote Insurance Risk Engineer jobs near you
Software Engineer, Data Platform

Software Engineer, Data Platform

Ramp

New York, NY • Remote

$168K - $324K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

Job description

About Ramp

Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.

The problems are high-stakes, data-dense, and unforgiving.

We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.

The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.

If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.

About the Role

The Data Platform builds infrastructure and tools that enable Ramp to realize business value from data. We partner closely with stakeholder teams to build this infrastructure and the applications on top of it. This role is particularly focused on building platforms that support the data science development lifecycle. You’ll partner with applied scientists, AI engineers, Risk engineers, and other ML developers on building infrastructure and tools that enable and accelerate the development of machine learning models. 

What You’ll Do

  • Build and integrate the components of Ramp's Analytics Platform and Machine Learning Platform.

  • Build tools that improve the agility and data experience of Ramp's Applied Scientists, AI Engineers, and Risk Engineers.

  • Collaborate with stakeholder teams on building and productionizing machine learning applications.

  • Build reliable, scalable, maintainable, and cost-efficient systems across the stack.

What You Need

  • Experience with workflow orchestrators like Airflow, Dagster, or Prefect.

  • Experience building infrastructure on AWS, GCP, or Azure.

  • Knowledge of SQL and experience with Snowflake, Redshift, BigQuery, or similar databases.

  • Intuition around analytics and machine learning, and empathy for data science workflows.

  • Strong Python programming skills.

Nice to Haves

  • Expertise with AWS

  • Previous experience building online machine learning systems.

  • Previous experience building a feature store.

  • Experience with Terraform and Datadog

  • Experience building streaming systems.

Benefits available to all full-time Ramp employees (Global)

• Flexible PTO

• Unlimited AI token usage

• Centralized home-office equipment ordering

• Health and wellness stipend

• Budget for intra-office travel

• Weekly coffee stipend

United States

• 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents

• One Medical annual membership

• 401(k), including employer match on contributions made while employed by Ramp

• Fertility HRA (up to $10,000 per year)

• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay

• Pet insurance

• In-office perks: lunch, snacks, drinks, and more

• Relocation support to NYC or SF (as needed)

Canada

• Group medical, dental, and vision coverage through Sun Life

• Life, AD&D, and disability coverage

• Fertility drug coverage (up to $4,000 lifetime)

• Group Retirement Plan with employer match (RRSP + DPSP)

• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay

• Employee Assistance Program and virtual care through Lumino Health

United Kingdom

• Private medical insurance through Freedom Elite

• Virtual GP and at-home care via eMed x Livi

• Workplace pension through Penfold, with salary sacrifice option

• Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay

Referral Instructions

If you are being referred for the role, please contact that person to apply on your behalf.

 
Other notices

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

 

Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.

 

Ramp Applicant Privacy Notice

Compensation Range: $168K - $324.5K