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Remote Junior Quantitative Analyst Jobs (NOW HIRING)

Remote What These Candidates Likely Do • Systematic: Use rules-based, quantitative strategies ... Likely Job Titles • Quantitative Analyst (Quant) • Risk Manager • Portfolio Manager ...

Junior Margin/Risk Analyst

New York, NY · On-site +1

$75K - $125K/yr

Junior Margin/Risk Analyst Experience: 3-5 Years Location: [New York / Remote] Reporting To: Chief ... Conduct regulatory compliance reviews and reporting. * Assist with quantitative risk assessments ...

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Remote Junior Quantitative Analyst information

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How much do remote junior quantitative analyst jobs pay per hour?

As of Jul 6, 2026, the average hourly pay for remote junior quantitative analyst in the United States is $32.12, according to ZipRecruiter salary data. Most workers in this role earn between $23.08 and $35.34 per hour, depending on experience, location, and employer.

How much does a remote quantitative analyst make?

A remote junior quantitative analyst typically earns between $60,000 and $90,000 annually, depending on experience, education, and the employer. Salaries can vary based on industry, location, and the complexity of the analysis performed, with some roles offering additional bonuses or benefits. Strong skills in programming, statistics, and financial modeling are often required for higher compensation levels.

Do JP Morgan hire quants?

JP Morgan hires quantitative analysts, often called quants, for roles in risk management, trading, and financial modeling. These positions typically require strong skills in mathematics, programming, and data analysis, and candidates often hold degrees in quantitative fields such as finance, mathematics, or engineering.

What jobs make $1,000,000 a year?

High-level roles such as hedge fund managers, investment bankers, and top executives can earn $1,000,000 or more annually, often through a combination of salary, bonuses, and profit sharing. In finance and investment sectors, specialized skills, certifications, and extensive experience are typically required to reach this income level.

What are the key skills and qualifications needed to thrive as a Remote Junior Quantitative Analyst, and why are they important?

To thrive as a Remote Junior Quantitative Analyst, you need strong analytical skills, a background in mathematics, statistics, or finance, and at least a bachelor's degree in a quantitative field. Familiarity with programming languages like Python or R, experience with data analysis tools, and knowledge of statistical modeling are typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills, especially when collaborating remotely. These skills and qualities are vital for accurate data analysis, actionable insights, and effective teamwork in a distributed environment.

Can quantitative analysts work remotely?

Yes, many quantitative analysts can work remotely, especially those in junior or entry-level roles. Remote work often requires strong analytical skills, proficiency with programming languages like Python or R, and familiarity with data analysis tools, with some positions offering flexible schedules and virtual collaboration options.

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

AspectRemote Junior Quantitative AnalystRemote Data Analyst
Required CredentialsBachelor's in Math, Finance, or related field; some certifications preferredBachelor's in Statistics, Data Science, or related field; certifications optional
Work EnvironmentFinancial firms, hedge funds, investment banksTech companies, consulting firms, finance
Industry UsageFinance, trading, risk managementBusiness, marketing, operations
Search & Comparison IntentUnderstanding entry-level quantitative finance rolesExploring data analysis careers in various industries

The Remote Junior Quantitative Analyst typically focuses on financial modeling, risk assessment, and quantitative research within finance and investment firms. In contrast, a Remote Data Analyst works across industries analyzing data to inform business decisions. While both roles require strong analytical skills and similar educational backgrounds, the Quantitative Analyst emphasizes finance-specific skills, whereas the Data Analyst has a broader application across sectors.

What is a Remote Junior Quantitative Analyst?

A Remote Junior Quantitative Analyst is an entry-level professional who works from a remote location to analyze and interpret numerical data, typically for financial institutions or consulting firms. Their main responsibilities include building models, performing statistical analysis, and supporting senior analysts in research and reporting. They use programming languages and statistical tools to identify trends and provide insights that help guide business decisions. Working remotely allows them to collaborate online with team members and access company systems from any location. This role is ideal for individuals with strong analytical skills and an interest in finance, mathematics, or data science.

What are some common challenges faced by Remote Junior Quantitative Analysts, and how can they be addressed?

Remote Junior Quantitative Analysts often encounter challenges such as effective communication with team members across different locations and time zones, staying aligned on project goals, and managing workflow independently. To address these, it's crucial to leverage collaboration tools, set regular check-ins with supervisors, and proactively seek feedback. Building strong time management skills and participating actively in virtual team meetings can also help ensure you remain connected and contribute effectively to ongoing projects.
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Junior Quantitative Researcher (Ph.D.)

Junior Quantitative Researcher (Ph.D.)

Old Mission

Chicago, IL • On-site, Remote

$175K - $250K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

About the Position

We are actively seeking a Quantitative Researcher (Ph.D.) to join our Chicago office. In this role, you will collaborate directly with our options trading group, contributing to the enhancement of existing pricing models, and spearheading the development of cutting-edge models and tools. The primary focus will be on efficiently pricing volatility-based derivatives across diverse asset classes. As a key member of the team, you will actively participate in the options research idea generation process and may also take the lead in expanding the capabilities of the quant team to further enhance the options desk.

Responsibilities

  • Conceptualize and implement cutting-edge derivative pricing models for single-asset derivatives, as well as pricing models for widely traded equity volatility products such as variance swaps, volatility swaps, and VIX options.
  • Evaluate existing options pricing models, scrutinizing aspects such as calibration accuracy and Greeks stability to identify any anomalies. Investigate and propose enhancements to address identified issues.
  • Develop more resilient and stable alternative options pricing models, including exploring and suggesting new parameterizations for the volatility surface and designing improved filtering rules for market data quotes during calibration.
  • Develop options specific research infrastructure and libraries in Python.
  • Analyze market data and microstructure to identify patterns, facilitating the exploration of trading ideas.
  • Actively participate in the idea generation process for options research, contributing insights and innovations.
  • Collaborate closely with traders, engaging in the analysis of data and jointly developing new tools and ideas to identify patterns in the market.

Required Skills 

  • Must have a Masters or Ph.D. in a quantitative discipline, encompassing fields such as computer science, engineering, physics, mathematics, statistics, or other hard sciences, with an anticipated graduation date of December 2025 or May 2026.
  • Proficient in derivatives and volatility modeling, including the construction and calibration of forward curves and volatility surfaces. Possess extensive knowledge of equity and index derivative products, including variance derivatives, VIX, and other related instruments. Experience with dividend swaps and futures is considered advantageous.
  • Must have programming skills in Python and C++ are a prerequisite
  • Demonstrated exceptional written and verbal communication skills, with the ability to manage multiple tasks in a time-sensitive, collaborative, and fast-paced environment.
  • A team-oriented problem solver with the capacity to thrive under pressure, exhibiting a genuine passion for the financial markets.
  • Highly organized, detail-oriented, and adept at managing multiple work streams concurrently.
  • Proven track record of trustworthiness and performance, consistently adhering to the highest ethical standards.

Benefits and Perks

  • Fully paid Medical, Dental, Vision, Disability, and Life Insurance
  • Fully stocked kitchen; free breakfast and lunch every day on-site
  • Tuition Reimbursement Program
  • 401(k) with employer match
  • Paid Vacation, Sick, and Parental leaves
  • Commuter and Flexible Spending Programs

Base Salary Range 

$175,000 - $250,000 - Salaries are based on numerous factors such as skills, experience, and education. Our compensation package also includes a discretionary bonus and a comprehensive benefits program for full-time employees. For more information, reach out to your recruiter.Â