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Full Time Python Quant Jobs (NOW HIRING)

Jefferies

SVP, Equity Derivatives Risk Quant

Manhattan, NY · On-site

$200K - $250K/yr

Advanced Python programming skills, with experience building and maintaining scalable analytics ... Primary Location Full Time Salary Range of $200,000 - $250,000. About Us Jefferies is a leading ...

IMC

Quantitative Developer

New York, NY · On-site

$200K - $225K/yr

Strong production experience in Python and C++, including data analysis workflows (pandas, polars ... Base salary is only one component of total compensation; all full-time, permanent positions are ...

Jefferies

SVP, Equity Derivatives Risk Quant

Manhattan, NY · On-site

$200K - $250K/yr

Advanced Python programming skills, with experience building and maintaining scalable analytics ... Primary Location Full Time Salary Range of $200,000 - $250,000. Jefferies is a leading global, full ...

Databento

Quantitative Sales Associate

Chicago, IL · Remote

$14.50 - $19.50/hr

... full-time employees. We accommodate 100% remote work, with teammates living around the globe and ... Create common examples and use-cases with market data, with examples in Python, C++, and/or Rust.

Databento

Quantitative Sales Associate

San Francisco, CA · On-site +1

$16.50 - $22.50/hr

... full-time employees. We accommodate 100% remote work, with teammates living around the globe and ... Create common examples and use-cases with market data, with examples in Python, C++, and/or Rust.

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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 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.
SVP, Equity Derivatives Risk Quant

SVP, Equity Derivatives Risk Quant

Jefferies

Manhattan, NY • On-site

$200K - $250K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago

Job description


We are seeking a highly experienced and strategic Senior Vice President (SVP) to join our Equity Risk Analytics team as an Equity Derivatives Risk Quant. This senior leadership role is ideal for candidates with deep expertise across the equity derivatives spectrum-including vanilla options, exotics, structured products, and volatility modeling. The successful candidate will lead the development of advanced risk analytics methodologies and tools, partnering closely with trading desks, risk managers, and cross-functional teams to support the firm's dynamic and complex equity derivatives business.
Key Responsibilities
  • Lead the design and implementation of robust risk analytics solutions for equity derivatives, including:
    • Volatility surface calibration
    • Option pricing (vanilla and exotic)
    • Value-at-Risk (VaR) and capital charge calculation
    • Scenario analysis and stress testing
  • Collaborate with Market Risk, Credit Risk, SIMM, and Quantitative Risk Development teams to ensure consistency and robustness of risk measures across the equity platform.
  • Act as a senior subject matter expert on equity derivative products, advising senior stakeholders on risk exposures, model assumptions, and mitigation strategies.
  • Architect and maintain scalable pricing, volatility calibration, and risk engines to support ad-hoc, real-time, and historical risk analysis.
  • Drive innovation in risk methodology development, including proxy modeling, time series construction, and sensitivity analysis for complex equity structures.

Required Qualifications
  • Master's or PhD in Quantitative Finance, Mathematics, Physics, Computer Science, or a related field.
  • Minimum of 7 years of experience in equity risk analytics, with a strong specialization in equity derivatives.
  • Proven track record in developing and implementing risk models for both vanilla and exotic equity derivatives.
  • Advanced Python programming skills, with experience building and maintaining scalable analytics infrastructure.
  • Strong leadership, communication, and stakeholder management skills, with the ability to influence across teams and senior levels.

Preferred Qualifications
  • Familiarity with the EQF platform is desirable.
  • Experience with capital charge calculation and prior engagement with regulatory bodies is a plus.
  • Expertise in volatility surface modeling, exotic option calibration, and regulatory frameworks such as SIMM and FRTB.
  • CQF ceritification is highly desired.

Primary Location Full Time Salary Range of $200,000 - $250,000.
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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