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Full Time Python Quant Jobs (NOW HIRING)

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 ...

IMC

Quantitative Researcher - Options

Chicago, IL · On-site

$250K - $300K/yr

... options quant team. You will join the team as a senior member with the expectation of leading ... Rapidly research, test, and prototype new algorithmic ideas, preferably with Python. * See through ...

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 ...

Jefferies

Equity Derivatives Quant VP/SVP

Manhattan, NY · On-site

$175K - $300K/yr

Proficiency in a relevant programming language such as C# or C++ (Python is a plus ... Primary Location Full Time Salary Range of $175,000 - $300,000. #LI-DNI About Us Jefferies is a ...

Jefferies

Equity Derivatives Quant VP/SVP

Manhattan, NY · On-site

$175K - $300K/yr

Proficiency in a relevant programming language such as C# or C++ (Python is a plus ... Primary Location Full Time Salary Range of $175,000 - $300,000. #LI-DNI Jefferies is a leading ...

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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 Jul 16, 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 July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.
AVP, Quant Developer - Risk Analytics

AVP, Quant Developer - Risk Analytics

Jefferies

Manhattan, NY • On-site

$140K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description


The Global Risk Analytics team is looking for a seasoned Quantitative Risk Developer to join our Quant Risk Development team. This role offers the opportunity to work closely with other risk analytics teams, including Market Risk, Credit Risk,and RegIM, to design and operate AI-powered systems that automate complex risk workflows and support regulatory submissions. The ideal candidate brings equal depth in Agentic Coding and financial risk domain knowledge, with hands-on experience structuring agentic workflows, validating AI-generated output, and architecting end-to-end systems in environments similar to Claude Code.
Key Responsibilities
  • Design and implement end-to-end agentic workflows that enable autonomous planning, multi-step execution, and tool use across risk analytics and regulatory submission processes.
  • Architect and own the full system design of AI-powered risk platforms, including data flow, tool integration, orchestration layer, and production deployment.
  • Build and maintain validation frameworks and testing pipelines to ensure the correctness and reliability of AI-generated code and analytical outputs in a financial risk context.
  • Develop and integrate LLM-powered developer tooling - including CLI-based agents and code generation/review pipelines - to accelerate risk analytics delivery.
  • Collaborate with Market Risk, Credit Risk, and RegIM teams to translate complex domain requirements into robust, automated Python solutions.
  • Develop scalable, reusable Python libraries and contribute to a robust CI/CD environment through testing, peer review, and version control.
  • Facilitate efficient data processing, integration, and reporting pipelines to streamline regulatory submissions and internal analytics.

Required Qualifications
  • Education: Master's degree in Financial Engineering, Mathematics, Computer Science, or a related quantitative field preferred; Bachelor's considered with exceptional experience.
  • Experience: At least 5 years of professional experience in Python backend development for financial applications.
  • Demonstrated experience designing and maintaining multi-step agentic workflows, orchestration logic, branching execution, and tool use - not limited to simple LLM API calls.
  • Practical experience building validation frameworks or testing pipelines to verify AI-generated outputs in a professional setting; concrete examples required.
  • Hands-on experience with LLM-powered developer tooling or systems similar to Claude Code, including CLI-based AI agents or LLM-assisted code generation and review pipelines.
  • Proven ability to own full system architecture for agentic platforms, covering data flow, tool integration, orchestration, and deployment.
  • Strong knowledge of financial risk domains, specifically Market Risk (VaR, ES, Greeks, stress testing, FRTB) and Credit Risk (PD/LGD/EAD, CECL, CCAR, SA-CCR).
  • Demonstrated ability to develop scalable, reusable Python libraries.

Preferred Qualifications
  • Knowledge of RegIM / SIMM (Regulatory Initial Margin, ISDA SIMM methodology, IM regulatory submissions) is highly desirable.
  • Experience with portfolio analytics across multiple asset classes, including derivatives pricing and factor models.
  • Proficiency with DevOps tooling: Docker, Kubernetes, cloud platforms (Azure/AWS), and CI/CD pipelines.
  • Familiarity with graphical user interface (GUI) development in Python.
  • Ability to handle large datasets and implement efficient processing algorithms.

Primary Location Full Time Salary Range of $140,000 - $165,000.
About Us
Jefferies is a leading global, full-service investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset management services. With more than 40 offices around the world, we offer insights and expertise to investors, companies, and governments.
At Jefferies, we are committed to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients.
Jefferies is committed to creating and sustaining a workforce that welcomes individuals from all backgrounds to apply. Our employment decisions are made without regard to race, creed, color, national origin, ancestry, religion, pregnancy, age, medical condition, physical or mental disability, marital status, domestic partner status, sex, sexual orientation, gender, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by applicable law. We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodation to individuals with disabilities, as required by applicable law.
The salary offered will take into consideration an individual's experience level and qualifications. In addition to salary, Jefferies Financial Group is proud to offer a comprehensive benefits package to eligible, full-time employees or part-time employees, who are scheduled to work at least 30 hours or more per week, including an annual discretionary incentive and retention bonus, competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Jefferies also offers paid time off packages that include planned time off (e.g., vacation), unplanned time off (e.g., sick leave), and paid holidays, and for full-time employees, paid parental leave.

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