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Remote Market Risk Analyst Jobs in Plainfield, NJ

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 ...

Time Doctor

Account Manager, Mid-Market

New York, NY · On-site +1

$2.5K - $5.0K/mo

You are organised, analytical and self-directed. You thrive fully remote. What you will own * Your ... You lead escalations and renewal-risk conversations and drive them to a decision quickly.

Paxos Labs

DeFi Researcher

New York, NY · On-site +1

We're hiring a Quantitative Researcher to help scale Paxos Labs's DeFi risk analysis capabilities ... We also consider remote work on a case by case basis. Once we receive your application, we'll be in ...

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Remote Market Risk Analyst information

See Plainfield, NJ salary details

$66.7K

$111.1K

$149.3K

How much do remote market risk analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for remote market risk analyst in Plainfield, NJ is $111,128.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,100.00 and $134,400.00 per year, depending on experience, location, and employer.

What is a remote market risk analyst?

A Remote Market Risk Analyst is a finance professional who works from a remote location to identify, assess, and monitor risks that could impact financial markets and investment portfolios. They analyze market trends, economic data, and financial instruments to help organizations manage potential losses. Using specialized software and statistical models, these analysts provide insights and recommendations to minimize financial risk. Their remote role allows them to collaborate with teams and stakeholders virtually while maintaining a high level of analytical rigor.

What are the key skills and qualifications needed to thrive as a remote market risk analyst?

To thrive as a Remote Market Risk Analyst, you need strong analytical skills, a solid understanding of financial markets, and a relevant degree in finance, economics, or mathematics. Familiarity with risk management software (such as SAS, MATLAB, or Bloomberg), data analysis tools, and often professional certifications like FRM or CFA are highly valued. Excellent communication, attention to detail, and the ability to work independently are standout soft skills for this remote role. These skills ensure accurate risk assessment, effective communication of findings, and successful collaboration with global teams in a fast-paced financial environment.

How does a remote market risk analyst typically collaborate with trading teams and other stakeholders while working offsite?

As a Remote Market Risk Analyst, collaboration is primarily facilitated through digital communication tools such as video conferencing, instant messaging, and shared analytics platforms. You will regularly participate in virtual meetings with trading teams, portfolio managers, and compliance staff to discuss risk exposures, emerging market trends, and risk mitigation strategies. Clear documentation, timely reporting, and proactive communication are crucial for staying aligned with stakeholders and ensuring accurate, actionable risk assessments. Building strong remote relationships and maintaining responsiveness help foster effective teamwork, despite the physical distance.

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Gauntlet - Software Engineer

De Circle

New York, NY • On-site, Remote

$113K - $152K/yr

Full-time

Re-posted 13 days ago

Key responsibilities

  • Lead the design, development, and maintenance of full-stack features for Gauntlet's decentralized application.

  • Partner with front-end engineers to deliver cohesive user experiences and collaborate with product managers and researchers to translate requirements into technical solutions.

  • Provide technical leadership, conduct code reviews, troubleshoot software issues, and support system reliability and performance.

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. 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.
Gauntlet's mission is to drive adoption and understanding in the financial systems of the future. Building with decentralized systems creates novel challenges for mechanism designers, smart contract developers, and end-users of financial products, which are not seen in traditional software development and investing contexts. Gauntlet is dedicated to enhancing our industry's understanding of this new domain and revealing how to safely navigate the true bleeding edge of 21st-century financial innovation.
Gauntlet App:
Join a newly formed product pod focused on the Gauntlet App - our next-generation dApp that allows users to deposit and withdraw into vaults directly. This role is part of a critical initiative to evolve our dashboard into a product directly connected to revenue. You'll be working on a high-impact project tightly aligned with Gauntlet's core strategy, helping build a robust, user-facing experience at the heart of our business.
Responsibilities:
  • Lead the design, development, and maintenance of full-stack features for Gauntlet's decentralized application, ensuring high performance and scalability
  • Partner closely with front-end engineers to deliver cohesive and well-integrated user experiences
  • Provide technical leadership and mentorship to other engineers, fostering collaboration and knowledge sharing
  • Engage in systems design and architecture discussions to build robust backend services supporting the application
  • Participate actively in code reviews and design sessions, promoting best practices and high-quality code standards
  • Collaborate with product managers and researchers to translate requirements into effective technical solutions
  • Diagnose, troubleshoot, and resolve complex software issues to maintain system reliability and performance

  • 5+ years of professional experience in software development, with a focus on full-stack engineering.
  • Strong proficiency in TypeScript for full-stack development
  • Proven ability to design and implement user-centric applications, emphasizing seamless user experiences.
  • Solid experience with backend systems and APIs, including systems design and architecture
  • Familiarity with Python or the ability to be language agnostic
  • Proven ability to collaborate effectively with others engineers and mentor team members
  • Excellent problem-solving and analytical skills with a focus on application development lifecycle
  • Strong communication skills and the ability to work collaboratively in a distributed team environment

Bonus Points:
  • Interest or experience in DeFi concepts like decentralized applications (dApps) and on-chain interactions
  • Familiarity with financial technology (fintech) products and user experiences.
  • Previous work on applications that handle monetary transactions or sensitive user data.
  • Familiarity with application development lifecycle from end to end
  • Experience developing and shipping user-facing features using component-based UI frameworks such as React
  • History utilizing, at any level, technologies and languages like Solidity or Rust
  • Experience working in smaller teams or startups, demonstrating broad technical versatility
  • Background working with data pipelines or tooling, including ETL processes, orchestration tools and integrating data flows in production environments

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