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Remote Graduate Quantitative Analyst Jobs (NOW HIRING)

Initio Capital

Quantitative Analyst (Quant)

New York, NY · Remote

$145K - $185K/yr

Job Summary Quantitative Analyst (Quant) Initio Capital Full-time, Part-time, Contract, Temporary, Internship, Casual Remote | New York, NY, United States Quantitative Analyst (Quant) - Initio ...

Rainbook

The Quantitative Analyst role will dive deep into portfolio analytics and Fund Analysis while also conducting data integrity testing. Portfolio Analytics includes, but not limited to: Exposure ...

AmeriSave Mortgage Corp.

$130K - $150K/yr

This fully remote role will focus on developing and maintaining sophisticated quantitative models and conducting deep analysis of business metrics to uncover deficiencies and opportunities that drive ...

AmeriSave Mortgage Corp.

$130K - $150K/yr

This fully remote role will focus on developing and maintaining sophisticated quantitative models and conducting deep analysis of business metrics to uncover deficiencies and opportunities that drive ...

Jobgether

Operating in a fast-paced, remote-first environment, you will collaborate with globally distributed ... The role is ideal for analytical thinkers who thrive in dynamic environments and enjoy building ...

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$56.5K

$133.9K

$240K

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

As of May 31, 2026, the average yearly pay for remote graduate quantitative analyst 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 are the key skills and qualifications needed to thrive as a Remote Graduate Quantitative Analyst, and why are they important?

To thrive as a Remote Graduate Quantitative Analyst, you need a solid background in mathematics, statistics, and data analysis, typically supported by a quantitative degree. Proficiency with statistical software such as Python, R, and SQL, as well as familiarity with data visualization tools, is commonly required. Strong problem-solving skills, attention to detail, and effective remote communication set standout candidates apart. These skills ensure accurate data-driven insights and seamless collaboration within distributed teams, which are essential for delivering actionable business results.

What are some common challenges faced by remote graduate quantitative analysts, and how can they be addressed?

As a remote graduate quantitative analyst, one of the main challenges is effective communication and collaboration with team members, especially when working across different time zones. To overcome this, it's important to proactively schedule regular virtual meetings and use collaborative platforms to stay connected. Additionally, managing your own time and staying motivated without in-person supervision can be difficult, so setting a structured daily routine and clear goals is essential. Seeking feedback regularly and participating in online team discussions can also help you stay engaged and contribute effectively.

What are Remote Graduate Quantitative Analysts?

Remote Graduate Quantitative Analysts are entry-level professionals who use mathematical, statistical, and computational techniques to analyze data and solve problems for businesses or financial institutions, working entirely from a remote location. They typically have a recent degree in fields like mathematics, statistics, finance, engineering, or related disciplines. Their work may involve building quantitative models, conducting risk analysis, and interpreting large datasets to provide actionable insights. The remote aspect allows them to collaborate with teams and clients from anywhere, often using specialized software and online communication tools.

What is the difference between Remote Graduate Quantitative Analyst vs Remote Data Analyst?

AspectRemote Graduate Quantitative AnalystRemote Data Analyst
Required CredentialsDegree in Mathematics, Statistics, or Finance; often entry-levelDegree in Data Science, Statistics, or related; entry-level to mid-level
Work EnvironmentFinancial firms, hedge funds, investment banksVarious industries including tech, marketing, finance
Employer & Industry UsageFinancial institutions, asset managementBroad industry use, including tech and consulting
Common Search & ComparisonYesYes

The Remote Graduate Quantitative Analyst and Remote Data Analyst roles share similar educational backgrounds and work environments, especially in finance and data-driven industries. However, quantitative analysts focus more on financial modeling and risk assessment, while data analysts handle broader data interpretation across various sectors.

More about Remote Graduate Quantitative Analyst jobs
What cities are hiring for Remote Graduate Quantitative Analyst jobs? Cities with the most Remote Graduate Quantitative Analyst job openings:
What are the most commonly searched types of Graduate Quantitative Analyst jobs? The most popular types of Graduate Quantitative Analyst jobs are:
What states have the most Remote Graduate Quantitative Analyst jobs? States with the most job openings for Remote Graduate Quantitative Analyst jobs include:
What job categories do people searching Remote Graduate Quantitative Analyst jobs look for? The top searched job categories for Remote Graduate Quantitative Analyst jobs are:
Remote Graduate Quantitative Analyst jobs near you
Infographic showing various Remote Graduate Quantitative Analyst job openings in the United States as of May 2026, with employment types broken down into 54% Full Time, 40% Part Time, and 6% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $133,877 per year, or $64.4 per hour.

Quantitative Analyst (Quant)

Initio Capital

New York, NY • Remote

$145K - $185K/yr

Full-time

Posted 9 days ago

Job description

Job Summary

Quantitative Analyst (Quant)

Initio Capital

Full-time, Part-time, Contract, Temporary, Internship, Casual

Remote | New York, NY, United States


Quantitative Analyst (Quant) – Initio Capital

Location: New York, NY
Employment Type: Full-Time
Estimated Compensation: $145,000 – $185,000 total annual compensation (varies by employer)

About This Posting

This job description represents a sample Quantitative Analyst (Quant) position commonly found through the Career Launch AI Talent Network. It is provided to help job seekers understand the responsibilities and qualifications typically associated with early-career quantitative finance roles. Actual openings vary depending on employer needs.

For more information on the Career Launch AI Talent Network, visit: https://initiocapital.com/assessment

Position Overview

Quantitative Analysts (Quant) at Initio Capital will play a critical role in applying advanced mathematical and statistical methods to drive trading and investment strategies. Working closely with portfolio managers, traders, and researchers, you will leverage programming and quantitative modeling skills to provide actionable insights, enhance portfolio performance, and mitigate risk. This is an ideal opportunity for individuals with a deep understanding of financial mathematics and a passion for utilizing cutting-edge tools to optimize trading strategies.

Key Responsibilities

  • Quantitative Modeling: Develop and implement quantitative models to optimize trading strategies, risk management, and portfolio construction.

  • Statistical Analysis & Machine Learning: Use advanced statistical methods and machine learning techniques to analyze large datasets and derive insights that drive investment decisions.

  • Backtesting & Strategy Validation: Conduct thorough backtesting of trading strategies, validate models, and measure performance across various market conditions.

  • Programming & Automation: Write efficient code in languages such as Python, R, C++, or Java to develop, maintain, and optimize models, ensuring scalability and robustness.

  • Data Analysis & Forecasting: Use large datasets to identify market trends, correlations, and potential opportunities for alpha generation.

  • Risk Management: Collaborate with the risk management team to quantify and assess risk in the portfolio, applying quantitative techniques to mitigate exposure.

  • Collaborative Efforts: Work closely with cross-functional teams, including portfolio managers, traders, and senior leadership, to align quantitative strategies with business goals.

  • Research & Innovation: Stay ahead of market trends and innovations in quantitative finance, exploring new methodologies and tools to enhance model performance.

  • Reporting: Prepare and communicate clear and concise reports, dashboards, and presentations on model performance, risk analysis, and strategy insights to key stakeholders.

Preferred Qualifications

  • Bachelor’s or Master’s degree in Finance, Mathematics, Statistics, Computer Science, Engineering, or a related field.

  • Strong understanding of quantitative finance, including asset pricing, risk management, and portfolio optimization.

  • Proficiency in programming languages like Python, R, C++, or Java, with experience in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

  • Familiarity with financial markets, trading strategies, and financial instruments such as equities, derivatives, and fixed income.

  • Experience with data analysis tools such as Pandas, NumPy, and SQL, with the ability to handle and analyze large datasets.

  • Strong statistical and analytical skills, with a track record of solving complex financial problems using quantitative methods.

  • Experience in financial modeling or quantitative research (preferably in a hedge fund, investment bank, or asset management setting).

  • Knowledge of risk models and their application in portfolio optimization and performance analysis.

  • Ability to communicate complex quantitative concepts clearly and effectively to both technical and non-technical stakeholders.

  • Attention to detail and a passion for continual learning in the quantitative finance space.

  • Interest in financial markets, trading, and algorithmic strategy development.

About the Career Launch AI Talent Network

The Career Launch AI Talent Network provides job seekers with tools and resources to pursue Quantitative Analyst (Quant) opportunities, including:

  • Skills-based role matching

  • Assistance with resume customization

  • General guidance on outreach to hiring teams

  • Interview preparation for quantitative analysis, financial modeling, and risk management assessments

To learn more or express interest in quantitative finance roles, visit: https://initiocapital.com/assessment