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Python Quant Jobs (NOW HIRING)

Python Quantitative Developer

Jersey City, NJ · Hybrid

$52.50 - $72.25/hr

Python Quantitative Developer with investment Banking Experience Location: Pittsburg, PA / Lake ... Quant libraries. • Work with large datasets using SQL to integrate financial, balance sheet, and ...

... Python, Quant, Quantitative, Large Data Sets, MySQL, SQL, Data Integrity, Regression, Performance Testing, Financial Markets, Trading, Illinois Recruiters, Information Technology Jobs, IT Jobs, ...

Always Recruiting For

Chicago, IL · On-site

$17.50 - $21.75/hr

We are always open to hiring for the following roles: - Software Developers - specifically Python - Quant Developers - Live Sports Traders - DevOps Engineers Please submit your resume and it will be ...

Qualifications: - Advanced quantitative skills. - Proficiency in a high-level programming language (R or Python). - Experience working with large data sets. - Knowledge of Databases (MySQL, SQL, etc ...

Python Developer

Columbus, OH

$47 - $64.75/hr

Quantitative finance * Python * Python web technologies, e.g. Flask, Dash * Python data processing technologies, e.g. Pandas, Numpy * Solid understanding on web applications, e.g. HTML, CSS ...

Senior Python Developer

Rollingwood, TX

$117K - $158K/yr

Collaborate closely with quantitative analysts and investment teams to translate complex financial models into scalable, production-ready Python solutions. * Maintain and support applications in ...

Quant Analyst

New York, NY · On-site

$89K - $149K/yr

The software is largely written in C++ with a growing set of Python language bindings. The ... The applicant will be part of a global quant team and expected to work closely with colleagues ...

... quantitative software development, preferably at a trading firm or systematic fund * Strong production experience in Python, including data analysis workflows (pandas, polars, or similar) * Strong ...

Our client, aglobalAsset Management firm, is looking for meticulous hands-on Quant Data Engineer ... Past experience building Python data APIs * Experience writing data validations in Python

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Python Quant information

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How much do python quant jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for 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 some typical challenges faced by Python Quants in the financial industry?

Python Quants often face challenges related to sourcing, cleaning, and managing large sets of complex financial data, as well as ensuring their models remain robust under rapidly-changing market conditions. Navigating tight deadlines while maintaining code quality and accuracy is a common aspect of the job. Additionally, the need to explain complex quantitative concepts to non-technical stakeholders, such as portfolio managers or traders, requires strong communication skills. Overcoming these challenges helps Python Quants deliver real, actionable insights and contribute effectively to investment strategies.

What are the key skills and qualifications needed to thrive in the Python Quant position, and why are they important?

To thrive as a Python Quant, you need strong quantitative skills, proficiency in Python programming, and a solid foundation in mathematics, statistics, or financial engineering, typically supported by an advanced degree. Familiarity with scientific computing libraries (e.g., NumPy, pandas, SciPy), version control systems like Git, and experience with financial data platforms are essential. Analytical thinking, attention to detail, and effective communication enable collaboration with traders and researchers. These skills and tools are crucial for developing, testing, and implementing robust quantitative models in dynamic financial environments.

What is a Python Quant job?

A Python Quant (Quantitative Analyst) job involves using Python to analyze financial data, develop trading algorithms, and build risk models. Python Quants work in hedge funds, investment banks, or proprietary trading firms, leveraging data science, machine learning, and statistical techniques. They write and optimize code for backtesting strategies, automating trades, and processing large datasets. Strong programming, mathematical, and financial knowledge are essential for success in this role.

More about Python Quant jobs
What cities are hiring for Python Quant jobs? Cities with the most Python Quant job openings:
What are the most commonly searched types of Python Quant jobs? The most popular types of Python Quant jobs are:
Infographic showing various Python Quant job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Python Quantitative Developer

Valueprosite

Jersey City, NJ • Hybrid

$52.50 - $72.25/hr

Other

Posted 7 days ago


Job description

Job Title: Python Quantitative Developer with investment Banking Experience

Location: Pittsburg, PA / Lake Mary, FL/ Jersey City, NJ – Hybrid Role

Long Term Project


Job Description: We are seeking a Sr Python Developers with strong Python skills, analytical thinking, and financial/risk experience to help with system design and implement the core modeling, scenario generation, and analytics components of this enterprise platform.

This role blends quantitative development and software engineering to build scalable tools used by Treasury, Market Risk, and senior decision-makers.

Key Responsibilities

Quantitative Modeling & Scenario Analytics

•                      Develop and implement using Python for balance sheet projections, interest rate risk (IRR), liquidity analytics, and scenario-driven stress testing.

•                      Support both regulatory scenarios (e.g., CCAR, SCB, liquidity stress) and ad hoc “what-if” analyses for Treasury and risk stakeholders.

•                      Build tools for scenario transformations, sensitivity calculations, curve construction, and quantitative stress analytics.

Platform & Data Engineering

•                      Design and maintain high performance Python modules that serve as the computational core of the scenario analysis framework.

•                      Proficient with Pandas, Numpy and other Quant libraries.

•                      Work with large datasets using SQL to integrate financial, balance sheet, and market inputs.

•                      Collaborate on the development of REST APIs that interface with scenario engines, model layers, and user applications.

Front-End & Workflow Integration

•                      Partner with UI developers to support React-based dashboards that present scenario results, visualizations, and analytics to business users.