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Python For Finance Jobs (NOW HIRING)

Senior Python Developer with Spark

Reston, VA · On-site

$126K - $170K/yr

... financial services setting. Required qualifications to be successful in this role: . 8+ years of hands-on experience with Python for data engineering, including building and maintaining data ...

Senior Python Developer

Rollingwood, TX

$117K - $158K/yr

Proven experience in designing and implementing computationally intensive systems for financial or ... Python (NumPy, Pandas, SciPy) * Financial Analytics & Quantitative Modeling * SQL & Data Analysis

... financial services setting. Required qualifications to be successful in this role: . 8+ years of hands-on experience with Python for data engineering, including building and maintaining data ...

Needed for Python Developer

Plano, TX · On-site

$48 - $66.25/hr

We are Hiring for Python Developer position with our Direct Client. Please find the JD below and ... Analytical skills Experience in Finance domain Ability to work in team in diverse/ multiple ...

Lead Python Software Engineer

Irving, TX · On-site

$134K - $165K/yr

Wells Fargo is seeking a Lead Python Software Engineer in Secured Network services organization ... They are accountable for execution of all applicable risk programs (Credit, Market, Financial ...

Lead Python Software Engineer

Charlotte, NC · On-site

$136K - $168K/yr

Wells Fargo is seeking a Lead Python Software Engineer in Secured Network services organization ... They are accountable for execution of all applicable risk programs (Credit, Market, Financial ...

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Python For Finance information

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$13

$58

$86

How much do python for finance jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for python for finance 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 is the difference between Python For Finance vs Quantitative Analyst?

AspectPython For FinanceQuantitative Analyst
Required CredentialsPython skills, finance knowledge, possibly finance-related certificationsAdvanced degrees (e.g., MSc, PhD) in finance, mathematics, or related fields; certifications like CFA
Work EnvironmentFinancial firms, trading desks, investment banks, hedge fundsFinancial institutions, hedge funds, asset management firms, consulting
Employer & Industry UsageUsed for developing trading algorithms, risk modeling, data analysisDevelops quantitative models, risk assessments, trading strategies

Python For Finance focuses on using Python programming to analyze financial data and develop models, often as a technical skill. Quantitative Analysts, however, apply advanced mathematical and statistical techniques to create complex financial models. While both roles require strong analytical skills, Quantitative Analysts typically have higher-level degrees and certifications, and their work involves more theoretical modeling. Python For Finance is often a skill within a Quantitative Analyst's toolkit, but the roles differ in scope and depth.

How does a Python for Finance professional typically collaborate with other departments within a financial organization?

Python for Finance professionals frequently work alongside departments such as data analytics, risk management, and portfolio management. They often translate complex financial models into scalable code, automate data processes, and support decision-making by providing actionable insights through data analysis. Effective communication and collaboration are essential, as these professionals must understand the specific needs of stakeholders and ensure that technical solutions align with business objectives. Regular meetings, code reviews, and cross-functional project teams are common structures within the work environment.

What is Python for Finance?

Python for Finance refers to the use of the Python programming language for financial analysis, modeling, trading, and data visualization. Financial professionals use Python to automate data processing, analyze large financial datasets, build quantitative models, and develop trading algorithms. Its vast ecosystem of libraries such as Pandas, NumPy, and Matplotlib makes Python a popular choice in the finance industry for tasks ranging from risk management to portfolio optimization.

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

To thrive as a Python Developer in Finance, you need strong programming skills in Python, a solid understanding of financial concepts, and often a degree in computer science, finance, or a related field. Familiarity with financial libraries (such as pandas, NumPy, and QuantLib), databases, and version control systems is typically required, and certifications in data science or finance can be advantageous. Analytical thinking, attention to detail, and effective communication are vital soft skills for interpreting financial data and collaborating with cross-functional teams. These skills are essential to develop robust financial solutions, ensure data accuracy, and drive informed decision-making in a highly regulated and data-driven industry.
What cities are hiring for Python For Finance jobs? Cities with the most Python For Finance job openings:
What states have the most Python For Finance jobs? States with the most job openings for Python For Finance jobs include:
Java Full Stack Developer (AI + Kafka + Python)

Java Full Stack Developer (AI + Kafka + Python)

First Soft Solutions

Jersey City, NJ • On-site

Full-time

Posted 16 days ago


Job description

Job Title: Java Full Stack Developer (AI + Kafka + Python)

Location: NY / NJ / NC / AZ (Local Candidates Only)
Employment Type: Contract (W2 Only – No C2C)
Experience Required: 5+ Years

Job Overview

We are seeking experienced Java Full Stack Developers with strong exposure to AI-driven applications, modern backend frameworks, and real-time data processing. This role requires hands-on development experience and the ability to work in a fast-paced financial services environment.

Key Responsibilities

  • Develop and maintain full stack applications using Java and modern frameworks

  • Build and integrate AI-powered features into enterprise applications

  • Work with Python for data processing, automation, or AI-related tasks

  • Implement reactive programming models for scalable systems

  • Design and develop real-time data pipelines using Kafka

  • Collaborate with cross-functional teams to deliver high-quality solutions

  • Participate in code reviews, testing, and production support

Required Skills

  • Strong experience in Java Full Stack Development

  • Hands-on experience with AI-integrated applications

  • Proficiency in Python

  • Experience with Reactive Programming (e.g., WebFlux, RxJava)

  • Strong working knowledge of Apache Kafka

  • Familiarity with ADK (AI Development Kit or similar frameworks)

  • Experience working in financial services domain


First Soft Solutions logo

About First Soft Solutions

Sourced by ZipRecruiter

First Soft Solutions custom application Development and Maintenance Services are designed to enable you to lower the total cost of ownership and the required quality for your application. While all application Development Outsourcing is Technically custom, The difference is that packaged applications were designed with a general set of features to be used by a broad range of users. Custom application development is capable of producing practically any feature you may desire for your site. Time and money are virtually the only limiting factors. Our goal is to provide Clients with the Solution that fits their specific and unique needs while giving them the knowledge they need to operate and maintain the New Systems and Software. Our allegiance is to the best solution for our Clients. Our experience and knowledgeable consultants are ready to go above and beyond expectations to assist you in obtaining your goals. We can also provides expert project management throughout the entire project life cycle.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

East Brunswick, NJ, US

Year founded

2006