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Full Time Python Quant Jobs (NOW HIRING)

Citigroup, Inc.

Senior Python Developer

New York, NY · On-site

$121K - $181K/yr

... quantitative analytics, workflows and reporting. * Partner with the business, risk, product and ... Applications Development Time Type: Full time Primary Location: New York New York United States ...

WallStreetQuants

Entry-Level Quantitative Developer

... full-time. In this role, you will build dependable research platforms, market-data systems, and ... The work combines quantitative development, Python and C++ engineering, market data, low-latency ...

Fidelity Investments

AM Quantitative Analyst I

Boston, MA · On-site

$135K - $175K/yr

Programs using Python, R, MATLAB, SQL, and VBA. Handles financial packages using portfolio ... full-time onsite working model through a phased rollout across regions and roles. Currently, some ...

Fidelity Investments

AM Quantitative Analyst I

Boston, MA · On-site

$135K - $175K/yr

Process large data sets and analyzes the impact to investment decisions, using Python, R, MATLAB ... full-time onsite working model through a phased rollout across regions and roles. Currently, some ...

GTS

Quantitative Trader

Manhattan, NY · Hybrid

$150K - $225K/yr

They should be extremely proficient in Python. They will have a lot of initiative, exceptional ... Employment Type: FULL_TIME

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Full Time Python Quant information

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

As of Aug 7, 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 skills and qualifications are needed to thrive as a full time Python quant?

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 is a full time Python quant?

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 August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

New Grad Full-Time Quantitative Trader

WallStreetQuants

New York, NY • On-site

Full-time

Re-posted 9 days ago

Job description

About the Role
Proprietary trading firm based in New York City is seeking a highly motivated New Graduate Quantitative Trader to join the team full-time. In this role, you will apply analytical thinking and market intuition to pricing, execution, and risk decisions as part of the firm's quantitative trading team.
This is an ideal opportunity for recent graduates who are passionate about financial markets, probability, game theory, technology, and fast-paced decision-making. The work spans quant trading, algorithmic trading, market making, probability, execution, and risk management. You will work closely with experienced traders, quantitative researchers, and engineers to learn how modern strategies, models, and trading systems are designed, tested, and implemented.
The team is small, technical, and collaborative, with direct access to experienced traders, quantitative researchers, engineers, high-quality market data, and modern research infrastructure.
This is a hybrid opportunity based in New York, United States.
Requirements
Responsibilities
- Reason through pricing, risk, and execution decisions.
- Analyze trade outcomes and market behavior with data.
- Build disciplined habits around probability, sizing, and feedback loops.
- Monitor and analyze real-time market data to identify trading opportunities.
- Support the development, testing, and refinement of quantitative trading strategies.
- Make fast, data-informed trading decisions while managing risk.
- Conduct statistical analysis on historical and live market data.
- Evaluate market microstructure, liquidity, volatility, and other drivers of price movement.
- Participate in trading simulations, training programs, and strategy review sessions.
- Communicate trade ideas, risks, and performance insights clearly to the team.
- Continuously improve decision-making through feedback, research, and post-trade analysis.
Qualifications
- Final-year student or recent graduate from any degree discipline with strong analytical instincts.
- Comfort with probability, mental math, games, markets, or coding.
- Interest in learning within a fast-feedback trading environment; no prior quant or finance experience is required.
- Final-year student or recent graduate from any degree discipline who is ready to begin a full-time role.
- No specific academic major is required; analytical ability and learning speed matter more than subject studied.
- Strong quantitative, analytical, and problem-solving skills.
- Interest in financial markets, trading, probability, strategy games, or competitive problem-solving.
- Ability to make decisions quickly and remain calm under pressure.
- Strong attention to detail, intellectual curiosity, and a disciplined approach to risk.
- Programming experience in Python or a similar language is preferred.
- Prior internship, research, trading competition, or personal project experience is a plus but not required.
- Applicants from every degree discipline are welcome.
- No prior quantitative finance, trading, or investment-industry experience is required.
- Strong attention to detail, intellectual curiosity, and a commitment to continuous improvement.
- Excellent communication and teamwork skills.
Ideal Candidate
The ideal candidate is intellectually curious, competitive, numerically strong, and comfortable making decisions with incomplete information. You enjoy solving complex problems, thinking strategically, learning from feedback, and working in a fast-moving environment where performance and precision matter.
Benefits
What We Offer
  • Comprehensive training in trading, market structure, risk management, and quantitative strategy development.
  • Mentorship from experienced quantitative traders, researchers, engineers, and technologists.
  • Exposure to live markets, real financial datasets, and the full path from idea to implementation.
  • A collaborative, high-performance environment that values curiosity, discipline, and continuous learning.
  • Opportunities for rapid growth based on performance, ownership, and measurable impact.
  • Competitive compensation and a benefits package aligned with the employer and location.
  • Competitive compensation and benefits package.

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