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Remote Risk Quant Jobs (NOW HIRING)

The Hartford

Risk Manager, Investment Risk

Hartford, CT · On-site +1

M, F remote). Responsibilities: * Monitor and analyze risk across The Hartford's Structured Product ... Degree in a quantitative discipline required; professional designations such as CFA or FRM ...

Bing Recruitment

Chief Risk Officer

Philadelphia, PA · On-site +1

$185K - $250K/yr

Remote; AL; CA; IL; FL; MA; NC; NJ; NY; PA; TX; UT; VA Pay Salary: $185,000-$250,000, bonus ... Strong quantitative skills to interpret complex data and risk models. · Proficient with Microsoft ...

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$98K

$169.7K

$259.5K

How much do remote risk quant jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote risk quant in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

What is a remote risk quant?

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 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 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.

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Remote Risk Quant jobs near you
Infographic showing various Remote Risk Quant job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.

Finance Expert - Quant Research & Systematic Trading

Weekday AI

Remote

$170 - $220/hr

Part-time

Posted 20 days ago

Job description

This role is for one of our clients
Compensation: $170-$220 per hour
A leading AI research initiative is launching a specialized Finance Sprint focused on evaluating the realism and technical accuracy of quantitative finance workflows. We are seeking experienced quantitative researchers and systematic trading professionals to assess whether complex finance tasks accurately reflect real-world industry practices.
This is a high-impact, fast-paced engagement where your expertise will help ensure AI evaluation tasks measure genuine quantitative finance capabilities. The work involves reviewing confidential task scenarios, identifying weaknesses, and providing structured feedback to improve the realism, rigor, and practical relevance of each workflow.
Due to the collaborative nature of the sprint, candidates should be available to actively participate throughout the engagement and respond promptly to project updates and feedback.
Requirements
Key Responsibilities
  • Review quantitative finance tasks and workflows for technical accuracy, realism, clarity, and internal consistency.
  • Evaluate whether provided datasets, assumptions, constraints, and expected workflows accurately represent real-world quantitative research and systematic trading practices.
  • Identify missing assumptions, ambiguous instructions, unrealistic constraints, unsupported requirements, and critical edge cases.
  • Assess whether tasks effectively measure practical quantitative finance capabilities rather than theoretical knowledge alone.
  • Provide concise, structured written feedback along with actionable recommendations to improve task quality and realism.
  • Collaborate with fellow subject matter experts to calibrate evaluations and maintain consistent quality standards across the project.
Core Qualifications
  • 5-8 years of relevant experience for the Researcher Track, or 8-15 years for the Senior Reviewer Track.
  • Professional experience in one or more of the following:
    • Quantitative Research
    • Systematic or Algorithmic Trading
    • Portfolio Construction
    • Quantitative Portfolio Management
    • Financial Engineering
    • Related quantitative investment disciplines
  • Strong Python programming skills with hands-on experience developing, validating, or reviewing quantitative research workflows.
  • Deep understanding of:
    • Research methodology and bias
    • Data quality and validation
    • Backtesting best practices
    • Transaction costs and market impact
    • Risk modeling
    • Portfolio implementation constraints
    • Quantitative model evaluation
  • Excellent written communication skills with the ability to clearly explain evaluation decisions and professional reasoning.
  • Exceptional attention to detail, sound judgment, and the ability to consistently evaluate work against structured quality standards.
  • Experience reviewing research, mentoring analysts, establishing quality controls, or approving technical work is highly valued for senior-level reviewers.
Why This Role Matters
High-quality AI systems require evaluation tasks that accurately reflect the complexity of real-world quantitative finance. Your expertise will help ensure AI models are assessed against authentic industry practices, enabling more reliable benchmarking and meaningful performance improvements.
Equal Opportunity
We are committed to fostering an inclusive environment and welcome qualified applicants from all backgrounds. All employment decisions are made without regard to legally protected characteristics, and reasonable accommodations are available throughout the application and engagement process upon request.
Contract & Engagement Details
  • Independent contractor engagement.
  • Fully remote with flexible working hours.
  • High-engagement project with the potential for extension based on business needs and individual performance.
  • Weekly payments are processed through supported payment platforms.
  • Applicants must be legally authorized to work in the applicable hiring location. Unfortunately, visa sponsorship, including H-1B and STEM OPT support, is not available for this opportunity.

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