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Remote Risk Quant Jobs in Hoboken, NJ (NOW HIRING)

Gauntlet

Product Manager, Data and Reporting

New York, NY · On-site +1

... quantitative research and optimization of DeFi economics. We manage market risk, optimize growth ... We're a Series B company with around 75 employees, operating remote-first with a home base in New ...

Mercor

Associate Portfolio Manager

New York, NY · Remote

$150/hr

Remote Role Responsibilities * Provide high-level input on portfolio construction and asset ... Evaluate AI-generated portfolio strategies and risk frameworks. * Assess investment decisions ...

Mercor

Global Portfolio Manager

New York, NY · Remote

$150/hr

Remote Role Responsibilities * Provide high-level input on portfolio construction and asset ... Evaluate AI-generated portfolio strategies and risk frameworks. * Assess investment decisions ...

Luxoft

Senior Java Developer (E-Trading)

Manhattan, NY · On-site +1

$63 - $80.50/hr

... quantitative, compliance and risk, and IT functions to deliver new trading capabilities and services leveraging modern technologies and data & software architectures. For Hybrid Remote work salaries ...

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 ... Partner closely with trading, quant, product, risk, and infrastructure stakeholders * Balance ...

Keyrock

Head of Engineering - Options

New York, NY · On-site +1

Predominantly remote, we have hubs in London, Madrid, Brussels, Singapore , New York and Paris, and ... Partner closely with trading, quant, product, risk, and infrastructure stakeholders * Balance ...

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All JobsRisk Quant JobsRemote Risk Quant JobsRemote Risk Quant Jobs in Hoboken, NJ

Remote Risk Quant information

See Hoboken, NJ salary details

$107.2K

$185.7K

$283.9K

How much do remote risk quant jobs pay per year?

As of Jun 15, 2026, the average yearly pay for remote risk quant in Hoboken, NJ is $185,697.00, according to ZipRecruiter salary data. Most workers in this role earn between $147,200.00 and $217,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Risk Quant, you need strong quantitative analysis skills, a background in mathematics, statistics, or finance, and typically an advanced degree such as a master's or PhD. Proficiency in programming languages like Python, R, or MATLAB, and familiarity with risk management systems and financial modeling tools are crucial. Exceptional problem-solving, attention to detail, and effective remote communication skills set top candidates apart. These abilities are vital for accurately assessing financial risks, developing robust models, and collaborating efficiently within distributed teams.

What is the difference between Remote Risk Quant vs Remote Quantitative Analyst?

AspectRemote Risk QuantRemote Quantitative Analyst
Required CredentialsAdvanced degrees in finance, mathematics, or statistics; certifications like CFA or FRM often preferredSimilar credentials; degrees in math, finance, or engineering; certifications like CFA common
Work EnvironmentFinancial institutions, hedge funds, or risk management firms; primarily analytical and model development rolesFinancial firms, investment banks, or asset management; focus on data analysis and model building
Employer & Industry UsageUsed in risk management, compliance, and regulatory roles within financeUsed in trading, investment analysis, and quantitative research within finance

While both roles require strong quantitative skills and similar educational backgrounds, Remote Risk Quants focus more on assessing and managing financial risks, whereas Remote Quantitative Analysts often concentrate on developing models for trading or investment strategies. The roles overlap but differ mainly in their primary focus within the financial industry.

What are some common challenges faced by Remote Risk Quants and how can they be managed effectively?

Remote Risk Quants often encounter challenges such as limited access to real-time data streams, maintaining clear communication with on-site teams, and ensuring data security when working offsite. To manage these effectively, it's important to establish robust digital collaboration practices, utilize secure remote access tools, and maintain regular check-ins with stakeholders. Additionally, being proactive in seeking feedback and clarifications helps mitigate misunderstandings and keeps risk analysis aligned with organizational goals.

What are Remote Risk Quants?

Remote Risk Quants are quantitative analysts who work remotely to assess, measure, and manage financial risks for organizations. They use mathematical models, statistical techniques, and programming skills to analyze large datasets and forecast potential risks in investments, portfolios, or financial operations. By working remotely, they collaborate with teams using digital communication tools and often have flexible work arrangements. Their expertise is essential for financial institutions, hedge funds, and corporations to make data-driven risk management decisions.
What job categories do people searching Remote Risk Quant jobs in Hoboken, NJ look for? The top searched job categories for Remote Risk Quant jobs in Hoboken, NJ are:
What cities near Hoboken, NJ are hiring for Remote Risk Quant jobs? Cities near Hoboken, NJ with the most Remote Risk Quant job openings:
Remote Risk Quant jobs near you
Product Manager, Data and Reporting

Product Manager, Data and Reporting

Gauntlet

New York, NY • On-site, Remote

Full-time

Medical, Dental, Vision, PTO

Posted 12 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 November 2025, Gauntlet manages over $2B in vault TVL, and optimizes risk and incentives covering over $42 billion in customer TVL. We continually publish cutting-edge research that informs our risk models, alerts, and analysis, and is among the most cited institutions - 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.
As a company, we build institutional-grade vaults that deliver risk-adjusted DeFi yields at scale, powered by automated risk models and off-chain intelligence. Gauntlet curates strategies across Morpho, Drift, Symbiotic, Aera and more, with >$2B in vault TVL and a growing suite of Prime, Core and Frontier vaults.
Our mission is to drive adoption and understanding of the financial systems of the future. We operate with a trader's discipline and a risk manager's skepticism: size carefully, stress routinely, unwind decisively. The label equals the package equals the contents. No surprises, just predictable, reliable vaults.
Gauntlet builds solutions that apply off-chain intelligence to drive on-chain efficiency. We help partners monitor, understand, and capitalize on economic risk, and we measure success with clear, trusted metrics. This role owns the productization of Gauntlet's core metrics for both internal decision making and external transparency.
You will define what we measure, how we measure it, and how the company and our community consume it. You will partner with Product, Engineering, Data, Finance, and Growth to deliver accurate, timely, and consistent reporting across vaults and platform features.
Responsibilities
  • Own the roadmap for core product metrics and reporting. Define goals, success criteria, and SLAs for freshness, coverage, and quality.
  • Build and maintain a single source of truth for internal metrics: flows, revenue, TVL, growth attribution, finance reporting, TVL per vault, revenue per vault.
  • Partner with Data Engineering to scope instrumentation, tracking plans, schemas, and ETL. Write clear product requirements for pipelines and dashboards.
  • Support workflows with Finance, Growth, and Engineering. Reconcile product telemetry with booked revenue and cash movements.
  • Deliver executive-ready dashboards and narratives that drive prioritization and accountability across product lines.
  • Own external transparency standards. Ensure Gauntlet App metrics align with third-party aggregators, with a focus on DefiLlama parity and consistent public definitions.
  • Publish and govern a company-wide metrics catalog including definitions, edge cases, backfills, and change logs.
  • Establish data QA gates: anomaly detection, backtesting, schema validation, and rollback plans for metrics changes.
  • Drive adoption. Train stakeholders, document self-serve workflows, and collect feedback to improve usability and trust.
  • Represent metrics in customer and community contexts. Coordinate with Communications and BD on public reporting and disclosures.

Qualifications
  • 3+ years in Product Management or Data Product roles with end-to-end ownership of metrics and reporting in fintech, crypto, or analytics-heavy products.
  • An engineering degree or equivalent engineering experience
  • Strong analytical toolkit: SQL proficiency required. Comfort with Python for exploratory analysis and QA.
  • Track record building instrumentation and data models with product teams. Familiarity with event design, schema versioning, and ETL change management.
  • Clarity in writing and storytelling. You can turn complex data into crisp decisions and roadmaps.

Bonus Points
  • Bonus Points
  • Hands-on experience with DefiLlama or other crypto aggregators, subgraphs, and on-chain indexing.
  • Prior ownership of a company metrics catalog.
  • Experience with BI and data stack tools such as Hex, Mode, Looker, BigQuery, dbt, Airflow.
  • Understanding of measurement pitfalls: attribution bias, survivorship bias, and schema drift on EVM logs.
  • Experience partnering with Finance on revenue, reconciliation, and monthly close processes.
  • Domain fluency in DeFi metrics, on-chain data, and vault or protocol KPIs is strongly

Benefits and Perks
  • Remote first - work from anywhere in the US & CAN!
  • Regular in-person company retreats and cross-country "office visit" perk
  • 100% paid medical, dental and vision premiums for employees
  • $1,000 WFH stipend
  • Monthly reimbursement for home internet, phone, and cellular data
  • Unlimited vacation
  • 100% paid parental leave of 12 weeks
  • Fertility benefits
  • Opportunity for incentive compensation

Please note at this time our hiring is reserved for potential employees who are able to work within the contiguous United States and Canada. Should you need alternative accommodations, please note that in your application.
The national pay range for this role is $170,000 - $190,000 base plus additional On Target Earnings potential by level and equity in the company. Our salary ranges are based on paying competitively for a company of our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide. Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.
#LI-Remote
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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