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Full Time Python Quant Jobs (NOW HIRING)

Permanent Time Type: Full time Quantitative Risk Analyst, Gunvor USA Company Profile: Gunvor Group ... Python preferred. Programming experience or advanced knowledge of programming concepts. Experience ...

Permanent Time Type: Full time Quantitative Risk Analyst, Gunvor USA Company Profile: Gunvor Group ... Python preferred. • Programming experience or advanced knowledge of programming concepts. • ...

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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:
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.
Quant Analytics [Multiple Positions Available]

Quant Analytics [Multiple Positions Available]

JP Morgan Chase

Plano, TX • On-site

Full-time

Medical, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 491 frontline employees who took The Breakroom Quiz

58th of 149 rated banks


Job description

DESCRIPTION:

Duties: Leverage customer data to generate insights that shape business and marketing strategies for deposit portfolios. Analyze large and complex datasets, translating them into recommendations that guide decision- making and set priorities. Develop and deliver business intelligence through dashboards and executive reports, tracking key metrics such as customer engagement, conversion funnel performance, and account production, and share these findings with stakeholders. Assess omni-channel customer journeys, identifying areas of friction and uncovering opportunities to improve discoverability, increase conversion rates, and enhance the overall customer experience. Apply advanced analytics techniques and integrate both internal and external data to segment current and potential customers, identify growth opportunities, refine targeting strategies, and evaluate portfolio performance. Drive the forecasting of P&L impacts for marketing initiatives and business cases, helping to define strategic direction and priorities. Design and analyze digital experiments, measure campaign effectiveness, and communicate results and recommendations to senior leadership. Collaborate with teams across marketing, product, technology, and customer experience research to implement initiatives that drive profitable growth.

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Business Analytics, Data Science, Data Analytics, or related field of study plus 3 years of experience in the job offered or as Quant Analytics, Strategic Category Analyst, Business Analyst, or related occupation. The employer will alternatively accept a Bachelor's degree in Business Analytics, Data Science, Data Analytics, or related field of study plus 5 years of experience in the job offered or as Quant Analytics, Strategic Category Analyst, Business Analyst, or related occupation.

Skills Required: This position requires three (3) years of experience with the following: Automating the production of recurring reports and dashboards in SQL using ETL techniques and streamlined workflows; Data blending, workflow optimization, process automation, and integration of data from big data platforms using Alteryx; Developing interactive Excel and PowerPoint reports with advanced functions including VLookup, Data Analysis Add-Ons, Pivots, Macros, Data Validation, Waterfall, and Gantt Charts; Preparing performance measurements by translating quantitative information; Performing data ingestion, data transformation, and query optimization using Teradata or Snowflake big data platforms; Conducting statistical analysis and predictive modeling using R or Python; Building interactive Tableau dashboards leveraging advanced visualization, ETL automation, and ODBC connectors; Monitoring customer digital engagement across owned digital platforms, optimizing user experience, and driving data-driven marketing strategies using Adobe Analytics; Driving customer behavioral analytics and projects; Guiding A/B testing design, performance measurement, and deep dives analysis; Using customer omni channel shopping journey analysis; Conducting customer segmentation and strategic targeting using R or Python; Performing statistical analysis using machine learning methods including multivariate regression, clustering analysis, classification techniques, cohort analysis, and predictive modeling.  

Job Location: 8181 Communications Parkway, Plano, TX 75024.

Full-Time.

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

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