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Quantitative Analyst International Remote Jobs (NOW HIRING)

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Quantitative Analyst International Remote information

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$56.5K

$133.9K

$240K

How much do quantitative analyst international remote jobs pay per year?

As of Jul 15, 2026, the average yearly pay for quantitative analyst international remote in the United States is $133,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $145,500.00 per year, depending on experience, location, and employer.

What is the difference between Quantitative Analyst International Remote vs Quantitative Analyst (On-site)?

AspectQuantitative Analyst International RemoteQuantitative Analyst (On-site)
Work EnvironmentRemote, often international teams, flexible hoursOn-site, office-based, local teams
Required CredentialsDegree in finance, mathematics, or related field; certifications like CFA or CQFSimilar credentials; certifications like CFA or CQF are common
Employer & Industry UsageFinancial firms, hedge funds, asset management, global companiesSame industries, typically local or regional offices
Search & Comparison IntentLooking for remote opportunities, international rolesSeeking local or on-site roles, traditional work setting

In summary, Quantitative Analyst International Remote roles focus on remote, often global work environments with similar credential requirements as on-site roles. The main difference lies in the work setting and location flexibility, catering to candidates seeking remote international opportunities versus traditional on-site positions.

More about Quantitative Analyst International Remote jobs
What cities are hiring for Quantitative Analyst International Remote jobs? Cities with the most Quantitative Analyst International Remote job openings:
What states have the most Quantitative Analyst International Remote jobs? States with the most job openings for Quantitative Analyst International Remote jobs include:

Full-time

Posted 12 days ago


Job description

Position : Finance Professionals
Location : Remote
What These Candidates Likely Do
• Systematic: Use rules-based, quantitative strategies (algorithmic or model-driven investing) rather than discretionary judgment.
• Derivatives: Work with options, futures, swaps for hedging or speculation.
• Risk Management: Identify, measure, and control financial risks (market, credit, liquidity).
• Factor-Based: Design or manage portfolios using factors such as value, momentum, or volatility.
• VaR (Value at Risk): Calculate potential portfolio losses under normal market conditions.
• Back-Testing: Evaluate investment strategies by testing them on historical data before live deployment.
• Alpha Generation: Aim to deliver returns above benchmark-demonstrating strategy value.
Likely Job Titles
• Quantitative Analyst (Quant)
• Risk Manager
• Portfolio Manager (systematic or factor-based)
• Derivatives Trader
• Quantitative Researcher
In Plain Terms
These are quant finance professionals who build mathematical models to trade, manage risk, and create investment strategies. Their work is driven by data, algorithms, and statistical analysis-not instinct. Strong skills in Data Science, Mathematics, and Python are essential for these roles.