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Remote Risk Engineer Jobs in Rumson, NJ (NOW HIRING)

MLabs

Senior Full Stack Engineer (Platform)

New York, NY · Remote

$144K - $164K/yr

Remote - Preference for NYC - Or Remote USA OR EUROPE to work a 5 hour overlap with EST hours ... Design and implement scalable dashboards and tools that visualize protocol risk, ensuring tight ...

MLabs

Senior Full Stack Engineer (Platform)

New York, NY · On-site +1

$144K - $164K/yr

Remote - Preference for NYC - Or Remote USA OR EUROPE to work a 5 hour overlap with EST hours ... Design and implement scalable dashboards and tools that visualize protocol risk, ensuring tight ...

MLabs

Senior Full Stack Engineer (Platform)

New York, NY · On-site +1

$144K - $164K/yr

Remote - Preference for NYC - Or Remote USA OR EUROPE to work a 5 hour overlap with EST hours ... Design and implement scalable dashboards and tools that visualize protocol risk, ensuring tight ...

Jensen Hughes

Sr. Fire Protection Engineer

New York, NY · On-site +1

Today, our expertise extends broadly across closely related security and risk-based fields - from ... We are open to this individual reporting to any of our Northeast office locations or a remote work ...

Modern Treasury

Software Engineer - Security

New York, NY · On-site +1

$170K - $240K/yr

OVERVIEW This position can be based out of San Francisco, New York, or remote (we accept candidates ... You'll shape how Modern Treasury manages risk at scale and design the systems that make ...

Keyrock

Engineering Lead- Options

New York, NY · Remote

$104K - $138K/yr

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... This includes areas such as automated quoting, execution, risk controls, pricing workflows, and ...

Keyrock

Engineering Lead- Options

New York, NY · On-site +1

$112K - $147K/yr

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... This includes areas such as automated quoting, execution, risk controls, pricing workflows, and ...

BioCatch

Solutions Engineer, NAM

New York, NY · On-site +1

Description Solutions Engineer - North America (Remote, USA/Canada) Department: Solutions ... risk management, and follow-through. * Proven customer-facing experience, with the ability to ...

Autodesk

Sr. Principal IAM Security Engineer

New York, NY · Remote

$125K - $171K/yr

Remote Eligible Team: Cyber Defense - IAM Autodesk's Cyber Defense team is looking fora Sr ... Translate risk into pragmatic engineering requirements; drive roadmaps across multiple teams.

De Circle

Gauntlet - Software Engineer

New York, NY · On-site +1

$113K - $152K/yr

We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most ... We're a Series B company with around 75 employees, operating remote-first with a home base in New ...

Ramp

Software Engineer, Engineering Platform

New York, NY · Remote

$246K - $339K/yr

... and remote environments. * Design paved paths for high-frequency engineering tasks, including ... Turn recurring sources of friction or risk into reusable systems, workflows, and defaults that ...

Zero Hash

Senior Engineer, Trading

New York, NY · On-site +1

$134K - $176K/yr

This is a fully remote role for a candidate based in North America. #LI-Remote Responsibilities ... compliance, risk controls, and reporting. By abstracting away technical, regulatory, and ...

zerohash

Senior Engineer, Trading

New York, NY · Remote

$134K - $176K/yr

This is a fully remote role for a candidate based in North America. #LI-Remote Responsibilities ... compliance, risk controls, and reporting. By abstracting away technical, regulatory, and ...

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Showing results 1-20

All JobsRemote Risk Engineer JobsRemote Risk Engineer Jobs in Rumson, NJ

Remote Risk Engineer information

See Rumson, NJ salary details

$39.1K

$119.3K

$197.1K

How much do remote risk engineer jobs pay per year?

As of Jun 21, 2026, the average yearly pay for remote risk engineer in Rumson, NJ is $119,279.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,400.00 and $156,000.00 per year, depending on experience, location, and employer.

How does a Remote Risk Engineer typically collaborate with cross-functional teams to address potential risks?

As a Remote Risk Engineer, you’ll regularly work with cross-functional teams such as IT, operations, product management, and compliance to identify, assess, and mitigate potential risks. Collaboration often involves virtual meetings, shared documentation, and real-time communication tools to ensure risks are clearly communicated and addressed promptly. You may participate in risk assessments, review system designs, and provide recommendations to enhance security and operational resilience. Building strong relationships and maintaining proactive communication with team members is key to ensuring risks are managed effectively, even when working remotely.

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

To thrive as a Remote Risk Engineer, you need a solid background in risk assessment, engineering principles, and relevant degree qualifications such as in engineering or risk management. Familiarity with risk modeling software, data analysis tools, and industry-specific certifications like Certified Risk Engineer (CRE) are often required. Strong analytical thinking, problem-solving, and effective virtual communication skills help you excel when collaborating with clients and remote teams. These capabilities are crucial to accurately identifying risks, designing mitigation strategies, and ensuring the safety and compliance of client operations from a remote environment.

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

AspectRemote Risk EngineerRemote Underwriter
Required CredentialsBachelor's in Engineering, Risk Management certificationsBachelor's in Finance, Insurance certifications
Work EnvironmentAnalyzing technical risks, data modelingAssessing insurance applications, policy evaluation
Employer & Industry UsageInsurance, finance, engineering firmsInsurance companies, brokerage firms

Remote Risk Engineers focus on analyzing technical and operational risks using engineering principles, while Remote Underwriters evaluate insurance applications and determine policy terms. Both roles require analytical skills and industry-specific certifications, often working remotely for insurance or risk management companies. Understanding these differences helps job seekers identify the right career path based on their skills and interests.

What is a Remote Risk Engineer?

A Remote Risk Engineer is a professional who evaluates and manages risks for an organization, often related to safety, cybersecurity, or insurance, while working from a remote location. They analyze data, identify potential hazards or vulnerabilities, and recommend solutions to minimize losses or damages. This job typically requires strong analytical skills, knowledge of risk assessment methodologies, and effective communication, as much of the work may involve collaborating virtually with teams and clients. Remote Risk Engineers may specialize in various industries, including finance, manufacturing, or technology.
What cities near Rumson, NJ are hiring for Remote Risk Engineer jobs? Cities near Rumson, NJ with the most Remote Risk Engineer job openings:
Remote Risk Engineer jobs near you
Infographic showing various Remote Risk Engineer job openings in Rumson, NJ as of June 2026, with employment types broken down into 75% Full Time, 7% Part Time, and 18% Contract. Highlights an 100% Remote job distribution, with an average salary of $119,279 per year, or $57.3 per hour.

Gauntlet - Quantitative Software Engineer

De Circle

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 28 days ago

Job description

Gauntlet leads the field in quantitative research and optimization of DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. We build institutional-grade vaults for decentralized finance, delivering risk-adjusted onchain yields for capital at scale. Designed by the most vigilant, quantitative minds in crypto and informed by years of research. As of April 2025, Gauntlet manages risk and incentives covering over $42 billion in customer TVL.
Gauntlet continually publishes cutting-edge research that informs our risk models, alerts, and analysis, and is among the most cited institution - including academic institutions - in terms of peer-reviewed papers addressing DeFi as a subject. We're a Series B company with around 75 employees, operating remote-first with a home base in New York City.
Our mission is to drive adoption and understanding in the financial systems of the future. The unique challenges of decentralized systems call for innovative approaches in mechanism design, smart contract development, and financial product utilization. Gauntlet leads in advancing this knowledge, ensuring safe progression through the evolving landscape of financial innovation.
We are seeking highly skilled and motivated Quantitative Software Engineers to join our team. The ideal candidate possesses strong statistical and engineering skills, a passion for problem-solving, and the ability to work effectively in a fast-paced and collaborative environment.
Responsibilities:
  • Designing and implementing strategies for managing risk and optimizing DeFi protocols using quantitative models, simulations, and machine learning.
  • Develop tools and engines for parameter recommendations and drive impact to protocols.
  • Own the whole lifecycle of protocol integrations, including building data pipelines, working closely with cross-functional teams to define the data requirements and product offering.
  • Architect and refine data models and structures to support the evolving needs of DeFi analytics, simulations, methodologies and research development.
  • Contribute to making our core modeling platform world-class.
  • Maintain up-to-date knowledge of the latest industry trends, technologies, and techniques in software engineering.
  • Optimize Aera guardian logic to improve risk-adjusted yields, trade execution quality, and capital efficiency of strategies such as Protocol-Owned Liquidity for Aera Vaults.
  • Collaborate with other cross-functional teams, including internal and external teams
  • Stay current with the latest industry trends, market risk vectors, and market conditions to ensure that Aera strategies stay on the cutting edge of crypto and DeFi innovation.

Bonus Points:
  • Contribute to the forefront of DeFi economic understanding and optimization.
  • Work on projects that value deep research, quality, and practical outcomes.
  • Collaborate with a team committed to defining future financial systems.
  • Master's or Ph.D. in Quantitative fields like Mathematics, Economics, Computer Science, Physics, or similar fields is a plus.

Benefits and Perks
  • Remote first - work from anywhere in the US & CAN!
  • Competitive packages with the added opportunity for incentive-based compensation
  • Regular in-person company retreats and cross-country "office visit" perk
  • 100% paid medical, dental and vision premiums for employees
  • Laptop provided
  • $1,000 WFH stipend upon joining
  • $100 per month reimbursement for fitness-related expenses
  • Monthly reimbursement for home internet, phone, and cellular data
  • Unlimited vacation policy
  • 100% paid parental leave of 12 weeks
  • Fertility benefits

Qualifications
  • Minimum 4 years of direct hands-on experience trading or analyzing financial markets (crypto or traditional) professionally.
  • Experience developing statistical or quantitative models for financial markets.
  • Understanding of blockchain and DeFi protocols, concepts, and best practices (or a strong desire to learn).
  • Proficient at writing code in Python and SQL with a solid understanding of software engineering principles.
  • Knowledge of workflow orchestration (e.g., Dagster, Airflow) and distributed data processing technologies (Spark).
  • Excellent understanding of statistical modeling, machine learning, and optimization algorithms.
  • Experience with scientific computing packages such as Numpy/Scipy, Pandas, etc.
  • Ability to quickly internalize abstract concepts in new domains, coupled with strong problem-solving skills and attention to detail.
  • Ability to work independently and within a team, manage multiple projects, and meet deadlines.
  • Strong communication skills and the ability to work collaboratively in a distributed team environment.

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