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Valueprosite

Python Quantitative Developer

Jersey City, NJ · Hybrid

$52.50 - $72.25/hr

Pittsburg, PA / Lake Mary, FL/ Jersey City, NJ - Hybrid Role Long Term Project We are seeking a Sr Python Developers with strong Python skills, analytical thinking, and financial/risk experience to ...

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How much do python developers jobs pay per hour?

As of Jun 13, 2026, the average hourly pay for python developers 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.

Are Python developers still in demand?

Python developers are currently in high demand due to the language's versatility in web development, data analysis, machine learning, and automation. Organizations seek professionals skilled in frameworks like Django and data tools such as Pandas, making Python a valuable skill for many tech roles.

What are some common challenges Python Developers face when working on collaborative projects?

Python Developers often encounter challenges related to code consistency and integration when working with larger teams. Maintaining a uniform coding style, managing dependencies, and resolving merge conflicts are frequent issues, especially in fast-paced agile environments. Effective communication, using version control systems like Git, and adhering to clear documentation practices can help overcome these challenges. Collaborating closely with project managers, QA testers, and other developers is key to ensuring smooth workflow and successful project delivery.

Are Python still in demand in 2026?

Python developers continue to be in high demand due to the language's versatility in web development, data analysis, machine learning, and automation. As organizations increasingly adopt Python for emerging technologies, the need for skilled developers with knowledge of frameworks like Django or data libraries like Pandas remains strong in 2026.

What are Python developers?

Python developers are software engineers who specialize in using the Python programming language to build, test, and maintain software applications. They work on a variety of projects, from web and mobile applications to data analysis, automation, and artificial intelligence. Python developers are skilled in writing clean, efficient code and often collaborate with other developers, designers, and stakeholders to create functional and user-friendly solutions.

What is the difference between Python Developers vs Data Analysts?

AspectPython DevelopersData Analysts
Required SkillsProficiency in Python, software development, coding, algorithmsData analysis, statistical skills, Excel, SQL, some Python for scripting
Work EnvironmentSoftware companies, tech startups, development teamsBusiness, finance, marketing departments, data-driven roles
Common CertificationsPython certifications, software development coursesData analysis certifications, SQL, Excel certifications

Python Developers focus on building software applications using Python, emphasizing coding and development skills. Data Analysts interpret data to provide insights, often using Python for scripting but primarily working with data tools. Both roles require analytical skills, but Python Developers are more involved in software creation, while Data Analysts focus on data interpretation and reporting.

Is Python developer a good career?

A Python developer is a valuable role in the tech industry, with high demand across various sectors such as web development, data analysis, and machine learning. The role often requires knowledge of frameworks like Django or Flask and proficiency in related tools, offering opportunities for career growth and competitive salaries.

Will AI replace Python coders?

AI is unlikely to fully replace Python developers, as their role involves problem-solving, designing algorithms, and understanding complex systems that require human judgment. AI tools can assist with coding tasks and automate repetitive work, but human oversight and creativity remain essential for software development. Python developers who adapt by learning AI and machine learning skills can enhance their value in the evolving tech landscape.

What are the key skills and qualifications needed to thrive as a Python Developer, and why are they important?

To thrive as a Python Developer, you need strong programming skills in Python, a solid understanding of algorithms and data structures, and often a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are typically required, with certifications in Python or cloud platforms being valuable. Problem-solving, attention to detail, and effective communication are standout soft skills for this role. These skills and qualities are essential for building robust software solutions, collaborating with teams, and adapting to evolving project requirements.
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Infographic showing various Python Developers job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, 4% Part Time, and 2% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote 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 11 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.

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