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Full Time Python Quant Jobs (NOW HIRING)

IMC

Quantitative Developer - Python

Chicago, IL · On-site

$200K - $225K/yr

Base salary is only one component of total compensation; all full-time, permanent positions are ... Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers ...

Invesco

Quant Researcher, Trading

New York, NY · On-site

$120K - $160K/yr

Candidates must have hands on experience with SQL and R/Python, and master data science tools such ... Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco ...

Invesco

Quant Researcher, Trading

Atlanta, GA · Hybrid

$120K - $160K/yr

Candidates must have hands on experience with SQL and R/Python, and master data science tools such ... Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco ...

Invesco

Quant Researcher, Trading

New York, NY · Hybrid

$120K - $160K/yr

Candidates must have hands on experience with SQL and R/Python, and master data science tools such ... Full time Worker Type Employee Job Exempt (Yes / No) Yes Workplace Model Pursuant to Invesco ...

iCapital

Quant Engineer - Vice President

New York, NY · On-site

$180K - $210K/yr

Strong programming skills in Python for data analysis, modeling, and software development * Strong ... for all full-time employees, and an annual performance bonus. Employees also receive a ...

Old Mission

Python Software Engineer

Chicago, IL · On-site

$150K - $225K/yr

Additionally, you'll collaborate closely with quants, traders, and research teams to bolster our ... full-time employees. For more information, reach out to your recruiter. Old Mission is not ...

Old Mission

Python Software Engineer

New York, NY · On-site

$150K - $225K/yr

Additionally, you'll collaborate closely with quants, traders, and research teams to bolster our ... full-time employees. For more information, reach out to your recruiter. Old Mission is not ...

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All JobsFull Time Python Quant Jobs

Full Time Python Quant information

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$13

$58

$86

How much do full time python quant jobs pay per hour?

As of Jun 25, 2026, the average hourly pay for full time python quant in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Full Time Python Quant, and why are they important?

To thrive as a Full Time Python Quant, you need strong quantitative analysis skills, advanced knowledge of mathematics or statistics, and proficiency in Python programming, often backed by a degree in a quantitative field. Expertise in Python libraries like NumPy, pandas, and SciPy, as well as experience with financial modeling tools and data analysis platforms, is typically required. Attention to detail, problem-solving ability, and effective communication are standout soft skills for collaborating with teams and interpreting complex data. These skills are crucial for developing robust trading algorithms and delivering actionable financial insights in fast-paced, data-driven environments.

How does a Full Time Python Quant typically collaborate with other team members such as traders, analysts, and software engineers?

A Full Time Python Quant works closely with traders to understand trading strategies and provide quantitative models that assist in decision-making. They often collaborate with analysts to interpret financial data and validate model assumptions. Additionally, Python Quants frequently coordinate with software engineers to ensure their code integrates seamlessly into existing trading platforms and that performance and scalability standards are met. Effective communication and teamwork are key, as projects often require input and feedback from multiple departments.

What is the difference between Full Time Python Quant vs Quantitative Analyst?

AspectFull Time Python QuantQuantitative Analyst
Required CredentialsDegree in Finance, Mathematics, or Computer Science; programming skills in PythonDegree in Finance, Economics, or Mathematics; programming skills often in Python or R
Work EnvironmentFinancial firms, hedge funds, trading desks; focus on algorithm developmentFinancial institutions, investment banks; focus on data analysis and modeling
Employer & Industry UsageHigh frequency trading firms, quant fundsAsset management firms, banks, hedge funds

Full Time Python Quants primarily develop trading algorithms using Python, often working in high-frequency trading environments. Quantitative Analysts focus on analyzing financial data and building models, sometimes using Python but often with additional tools. Both roles require strong quantitative skills and finance knowledge, but Python Quants tend to be more programming-centric, while Quants may focus more on data analysis and modeling.

What are Full Time Python Quants?

Full Time Python Quants are quantitative analysts who specialize in using Python programming to develop, implement, and test mathematical models for financial markets. They work in areas such as algorithmic trading, risk management, and portfolio optimization, leveraging Python's libraries for data analysis, statistical modeling, and machine learning. These professionals are employed full-time, typically by banks, hedge funds, or trading firms, and are responsible for analyzing large datasets and creating automated trading strategies. Their expertise in both quantitative finance and Python coding is essential for turning complex financial theories into practical, actionable solutions.
More about Full Time Python Quant jobs
What are the most commonly searched types of Python Quant jobs? The most popular types of Python Quant jobs are:
What job categories do people searching Full Time Python Quant jobs look for? The top searched job categories for Full Time Python Quant jobs are:
Full Time Python Quant jobs near you
Infographic showing various Full Time Python Quant job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 63% Full Time, and 36% Part Time. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
Sr. Quant Python Developer

Sr. Quant Python Developer

Avani Technology Solutions, Inc.

Austin, TX • On-site

$120K - $162K/yr

Full-time

Posted 12 days ago

Job description

Role: Sr. Quant Python Developer
Contract length: 1 year with two 1 year renewal options
Start date: As Soon As Possible
Location: Downtown Austin, TX
Job Description:
The Senior Quant Developer performs highly advanced (senior-level) python programming to support our quantitative equity strategies team. Works under minimal supervision with extensive latitude for initiative and independent judgement.
Minimum/Preferred Qualifications:
• 3+ years of solid Python programming skills to cleanse, manipulate, and present data, particularly using quantitative data analysis libraries such as Pandas, NumPy, SciPy, etc.
• 3+ years of financial industry experience in a report development, data science, business analytics, business intelligence or comparable data engineering role, including data warehousing and business intelligence tools, techniques and technology
• 6+ years of full-time experience developing and maintaining enterprise scale applications
• Experience deploying and supporting Python apps to both Windows and Linux environments
• Knowledge of TSQL to write complex, highly-optimized queries across large volumes of data
• Experience managing projects and developing applications using the Agile SCRUM methodology
• Excellent oral and written communication skills
• Ability to explain complicated or technical information in a simple way to non-technical audiences
• Ability and willingness to refactor code produced by others and make production-ready
• Intellectual curiosity and passion about data, visualization and solving problems
• Creativity to determine the best solution for a real-world problem with quantitative data
• Experience with reporting, descriptive statistics, probability, and cleaning big datasets
• Willingness to question the validity, accuracy of data and assumptions
• Enjoyment from collaborating with others in team environment
• Eagerness to learn in a fast-paced environment
• Drive and self-reliance
• Bachelor's degree in math, statistics, computer science, or equivalent technical field from an accredited college or university

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