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Python Finance Jobs (NOW HIRING)

RIT Solutions, Inc.

Python developer

Summit, NJ · Hybrid

$53.50 - $73.50/hr

Develop and maintain Python-based applications and services supporting financial-crimes initiatives. * Design, build, and integrate APIs for data ingestion, system interoperability, and workflow ...

Accord Technologies Inc.

Python developer

Charlotte, NC · On-site

$49 - $67.75/hr

Sr Python developer Work Location : Charlotte NC Face to Face interview needed in charlotte NC 12 ... Exposure to financial markets, trading systems, or enterprise integration.

RIT Solutions

Python developer

Iselin, NJ · Hybrid

$51 - $70.25/hr

Develop and maintain Python-based applications and services supporting financial-crimes initiatives. * Design, build, and integrate APIs for data ingestion, system interoperability, and workflow ...

RIT Solutions

Python Developer

Glendale, CA · On-site

$53.25 - $73.50/hr

Financial services background preferred - experience with financial instruments and Price ... Source candidates with strong Python and object-oriented programming backgrounds. * Prioritize ...

1872 Consulting

Python Developer

Manhattan, NY · On-site

$55.50 - $76.25/hr

You will build microservices and systems that allow financial firms process various data streams ... Experience in idiomatic Python 3.4 * Experience in OOP/functional coding in Python * Understanding ...

ICONMA

Python Developer

Mclean, VA · Hybrid

$51.50 - $71/hr

Python Developer Our client, a financial company, is looking for a Python Developer for their Richmond, VA/McLean, VA/Hybrid location. Responsibilities: * Building a new product using python ...

New

RIT Solutions, Inc.

Python Developer

Glendale, CA · On-site

$53.25 - $73.50/hr

Must have : * 6+yr Python Development * Banking exp * LinkedIn page * Focus on UI and REST service ... Financial services background preferred - experience with financial instruments and Price ...

PTR Global

Python Developer

San Francisco, CA

$59.25 - $81.50/hr

This application serves as the front door for financial data, acting as the system of record (SLR ... This role is heavily backend-focused, with strong emphasis on Python and PySpark, while also ...

Purple Drive

Python Developer

Chicago, IL · On-site

$51.75 - $71.50/hr

Python Developer Location: Chicago, IL Mode of Hire: Contract Strong Python & TM Vault skills, API ... Experience working in banking / financial services environments * Familiar with cloud platforms ...

Anveta

Python developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

The position offers an opportunity to interact with senior stakeholders in the Global Markets CFO Group. Key Responsibilities * Develop object-oriented software in Python, using an object-oriented ...

New

Purple Drive Technologies

Python Developer

Chicago, IL · On-site

$51.75 - $71.25/hr

Python Developer Location: Chicago, IL Mode of Hire: Contract Strong Python & TM Vault skills, API ... Experience working in banking / financial services environments * Familiar with cloud platforms ...

Artech

Python developer

San Francisco, CA · On-site

$80 - $85/hr

Modernize a critical financial system by migrating from mainframe to a distributed platform * Develop backend services, data pipelines, and APIs using Python, PySpark, FastAPI/Flask * Ensure data ...

Zortech Solutions

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Python Developer Location: Jersey City, NJ (3 days onsite 2 days remote) Look for nearby Candidates ... Experience with Financial Domains. "#L!-CEIPAL"

Samprasoft

Python Developer

Morristown, NJ · On-site

$51.75 - $71.25/hr

Python Developer Contractor As a Python Developer Contractor, you will be responsible for ... Financial Services Payments experience (e.g., working with and knowledge of SWIFT MT and MX ...

RIT Solutions

Python Developer

Summit, NJ · Hybrid

$53.50 - $73.50/hr

The position offers an opportunity to interact with senior stakeholders in the Global Markets CFO Group. Key Responsibilities * Develop object-oriented software in Python, using an object-oriented ...

RIT Solutions, Inc.

Python Developer

Summit, NJ · Hybrid

$53.50 - $73.50/hr

The position offers an opportunity to interact with senior stakeholders in the Global Markets CFO Group. Key Responsibilities * Develop object-oriented software in Python, using an object-oriented ...

Apolis

Python Engineers

Passaic, NJ · On-site

$60/hr

Python Engineer In Capital Markets Python engineers in capital markets are responsible for ... Understanding of various financial instruments Interest rate swap, FX product (Swap, Spot, Forward ...

SES

AI/Python Developer

Reston, VA · On-site

$52.25 - $72/hr

Python * Gen AI * SQL * AWS Data Services * LLM * ML * Sagemaker * Bedrock Top 3 Soft Skills ... Preferred Qualifications: • Experience in the finance or fintech industry. • Familiarity with ...

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How much do python finance jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for python 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 are the key skills and qualifications needed to thrive as a Python Finance professional, and why are they important?

Success in Python Finance requires strong programming skills in Python, a solid grasp of financial concepts, and often a degree in finance, mathematics, or computer science. Familiarity with technical tools like pandas, NumPy, SQL databases, and financial modeling libraries is typically expected, as well as experience with version control and sometimes certifications like CFA or FRM. Analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These competencies are essential for efficiently analyzing financial data, automating processes, and delivering insights that drive smart financial decision-making.

How do Python Finance professionals typically collaborate with other departments within a financial organization?

Python Finance professionals often work closely with teams such as data analytics, risk management, trading, and IT. Collaboration usually involves developing or maintaining automated financial models, integrating data pipelines, and supporting real-time analytics. Clear communication is essential, as you may need to translate complex technical concepts into actionable insights for non-technical stakeholders. This cross-functional teamwork not only enhances project outcomes but also provides opportunities to broaden your understanding of the business and financial processes.

What is a Python Finance professional?

A Python Finance professional is someone who uses the Python programming language to analyze financial data, build financial models, automate trading systems, and perform quantitative analysis. These professionals often work in roles such as quantitative analysts, data scientists, or software developers within finance-related industries. They leverage Python’s powerful libraries like Pandas, NumPy, and scikit-learn to handle large datasets and perform complex financial computations. Their work helps financial institutions make data-driven decisions, improve efficiency, and gain insights into market trends.

What is the difference between Python Finance vs Quantitative Analyst?

AspectPython FinanceQuantitative Analyst
Required CredentialsProficiency in Python, finance knowledge, possibly some certificationsAdvanced degrees (e.g., MSc, PhD), quantitative skills, certifications like CFA
Work EnvironmentFinancial firms, tech companies, trading firmsInvestment banks, hedge funds, asset management
Industry UsageData analysis, algorithmic trading, risk modelingModel development, risk assessment, trading strategies

Python Finance professionals focus on coding and data analysis within financial contexts, often requiring programming skills and finance knowledge. Quantitative Analysts typically have advanced degrees and focus on developing complex models for trading and risk management. While both roles work in finance, Python Finance emphasizes programming, whereas Quantitative Analysts emphasize mathematical modeling.

More about Python Finance jobs
What cities are hiring for Python Finance jobs? Cities with the most Python Finance job openings:
What are the most commonly searched types of Python Finance jobs? The most popular types of Python Finance jobs are:
What states have the most Python Finance jobs? States with the most job openings for Python Finance jobs include:
What job categories do people searching Python Finance jobs look for? The top searched job categories for Python Finance jobs are:
Python Finance jobs near you
Infographic showing various Python Finance job openings in the United States as of May 2026, with employment types broken down into 86% Full Time, 10% Part Time, and 4% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Python Developer

Cirrus Group Consulting

San Francisco, CA • On-site

$140K - $175K/yr

Full-time

Posted 13 days ago

Job description

We are seeking an experienced Python Developer to join our team supporting the front office. The ideal candidate will have at least 5 years of experience designing, developing, and deploying Python-based solutions in a financial services or investment management environment. This role supports a broad set of stakeholders including equity & fixed income research, trading, and quantitative teams, requiring the ability to work across varying levels of technical maturity. This role also requires participation in the firm’s growing AI initiatives, including governance and integration of AI processes. The individual will collaborate closely with front office teams and Investment Technology leadership to deliver scalable, well-governed Python solutions that support investment decision-making.

 

Key Responsibilities:


•      Design, develop, and maintain Python-based tools and pipelines to support front office investment teams.

•      Develop, maintain, and govern shared data patterns across multiple databases, environments, and other enterprise sources.

•      Support the firm’s cloud migration, including integration of Snowflake and support of Python UDFs.

•      Build and support interactive tools using Plotly and Dash for business users.

•      Establish and maintain internal Python package structures, dependency management standards, and environment reproducibility practices.

•      Implement data quality validation and testing frameworks for data pipelines.

•      Support AI enablement initiatives including LLM integration, governance frameworks, and review of AI-generated code for production readiness.

 

Key Priorities/Deliverables:


•      Implement an internal Python package architecture that enables shared utilities across teams.

•      Establish environment reproducibility and dependency management standards across development and production environments.

•      Define and document Snowflake-Python integration patterns, including reference implementations for data extraction, analytics, and model scoring

•      Establish initial AI governance guardrails including approved model access, data classification for API usage, and review processes for AI-assisted development.

•      Provide mentoring, code review, and documentation to support Python adoption across teams.


Basic Qualifications:


•      5 years of hands-on experience developing in Python

•      5 years of demonstrated production deployment & environment management experience.

•      5 years of experience integrating Python with enterprise data sources, including Snowflake, SQL Server, and REST APIs.

•      5 years of experience building interactive dashboards and visualizations with Plotly and Dash.

•      Bachelor’s degree in Computer Science, Engineering, Mathematics, Finance, or a related field.

 

Preferred Qualifications:


•      Experience designing scalable internal Python architectures in organizations with multiple teams.

•      Hands-on involvement with AI/LLM enablement in an enterprise context, including integration patterns (MCP, API abstraction layers), data governance, and prompt management.

•      Prior experience in asset management or investment research, with working knowledge of portfolio analytics, factor construction, and valuation metrics.

•      Demonstrated ability to design Python package structures and manage dependencies across teams and environments.

•      High attention to detail, particularly around numerical accuracy, and data quality in a financial context.

•      Strong proficiency with pandas, vectorized operations, and data quality handling.

•      Strong communication and stakeholder management skills, with the ability to work directly with non-technical front office users.

•      Proficiency with version control (Git) and collaborative development practices including code review.