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Python Finance Jobs (NOW HIRING)

Palnar

Sr. Python Developer

Mclean, VA · On-site

$123K - $166K/yr

Interact with finance team and business side to collect the requirements * Design, develop and ... Python, Pandas and other popular Python libraries * Java * Testing frameworks such as pytest, junit

Redolent, Inc.

Senior Python Developer

Jersey City, NJ · On-site

$126K - $170K/yr

Position will be of Senior Python Developer who has experience working in Python, REST, ReactJS and Preferably experience working in Financial services within Global Markets. • 10yr+ Hands on ...

Next Step Systems

Python Software Engineer

Chicago, IL · On-site

Chicago IL Jobs, Python Software Engineer, Python, SQL, Stored Procedures, Data Models, ETL, Node.js, Programmer Analyst, Programming, Software Developer, Trading, Financial, Chicago Recruiters ...

NAVA Software Solutions

Python Developer

Manhattan, NY · On-site

$54.75 - $75.50/hr

Python Developer Locations: NYC, NY Duration: 12 months Must Have: Python development; Capital ... within a financial institute. * Experience in Agile/Scrum Management and Agile Tools. Desired:

Conch Technologies Inc

SQL/Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

SQL/Python Developer Location: Jersey City, NJ or Dallas, TX (Hybrid - 3 Days Onsite) Duration: 6 ... Experience in financial services domain * Exposure to Risk Management applications * Ability to ...

ConsultAdd, Inc.

Python Developer

Jersey City, NJ

$52.50 - $72.25/hr

We are serving more than 50 different companies in Financial, Health-care, Insurance and other ... Skills And Qualifications Expert in Python, with knowledge of at least one Python web framework ...

Techouts, Inc

Python risk Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

: Python risk Developer Location: Jersey City : We are looking for a Python Developer with strong ... Work with large financial datasets to support PnL, risk and reporting requirements * Contribute to ...

New

Software Guidance & Assistance

Python Developer

Tampa, FL · On-site

$45.75 - $63/hr

Software Guidance & Assistance, Inc., (SGA), is searching for a Python Developer for a right to hire assignment with one of our premier financial services clients in Tampa, FL or Irving, TX . ...

ConsultAdd, Inc.

Python Developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

We are serving more than 50 different companies in Financial, Health-care, Insurance and other ... Skills And Qualifications Expert in Python, with knowledge of at least one Python web framework ...

JS Consulting

Python developer

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Job Title- Python developer Project Location - 3 days onsite in a week in Jersey City, NJ Duration ... This role is working on the Finance Re-Design (FRD) and Finance Reg Reporting (FRR) projects. FRD ...

IMC Associates

SW & Eng Mgr Python

Houston, TX · On-site +1

Python: Sr. Software Engineer and Engineering Managers Locations: NYC, Texas - Each Position Can Be ... Finance Experience. UNFORTUNATELY COMPANY CAN'T SPONSOR/Must live in the US.

SmartIPlace

Python Developer [Onsite]

Jersey City, NJ · On-site

$52.50 - $72.25/hr

Python Developer Location: Jersey City, NJ Requirement: We're seeking an experienced Python ... Familiarity with financial data models (e.g., holdings, transactions, NAVs, tax lots). * Basic ...

Software Guidance & Assistance

Python Developer

Rutherford, NJ · On-site

$51.25 - $70.50/hr

Software Guidance & Assistance, Inc., (SGA), is searching for a Python Developer for a right to hire assignment with one of our premier financial services clients in Rutherford, NJ . Responsibilities

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How much do python finance jobs pay per hour?

As of Aug 15, 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 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.

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.
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Python Finance jobs near you
Infographic showing various Python Finance job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% 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

Software Guidance & Assistance, Inc. (SGA, Inc.)

Remote

$51.50 - $71/hr

Full-time

Posted 8 days ago

Job description

Job Summary:
Software Guidance & Assistance, Inc. is searching for a Python Developer for a right to hire assignment with one of their premier financial services clients in Rutherford, NJ. The role involves designing and implementing scalable backend applications and microservices, with a focus on developing Python-based services and data processing systems to support enterprise applications.
Responsibilities:
• Responsible for designing, building, and implementing scalable backend applications and microservices within the Technology team.
• Focuses on developing robust Python-based services, APIs, and data processing systems that support enterprise applications and analytics.
• Responsible for data extraction and analysis from structured and unstructured sources, while leveraging emerging technologies such as LLMs and GenAI to deliver efficient and innovative backend solutions to complex business problems.
• Design, develop, and implement scalable backend systems using Python, with a focus on microservices and API-driven architecture
• Build and maintain RESTful APIs and backend services for data ingestion, processing, and integration
• Develop data processing pipelines to handle structured and unstructured data
• Collaborate with global Technology teams across multiple time zones in a hybrid environment
• Apply Object-Oriented Programming (OOP) principles and backend engineering best practices
• Drive resolution of complex technical challenges through analysis of system flows and business processes
• Ensure solutions align with enterprise architecture, performance, and scalability requirements
• Establish and follow standards for coding, testing, debugging, and deployment in backend environments
• Perform data extraction, transformation, and analysis to support business use cases
• Implement unit testing and TDD to ensure reliability and maintainability of backend services
• Contribute to microservices ecosystem, including service integration and inter-service communication
• Support the integration of LLMs and GenAI capabilities into backend systems and workflows
• Mentor junior developers and promote strong engineering and coding standards
• Identify and manage risks, ensuring compliance with policies, regulatory requirements, and governance standards
Qualifications:
Required:
• Bachelor's degree in Computer Science, Data Science, Engineering, or related field
• 5–7 years of experience developing backend systems and services using Python
• Strong proficiency in Python and related libraries (e.g., NumPy, Pandas)
• Experience building REST APIs and working in microservices or service-oriented architectures
• Experience with data processing, ETL pipelines, or data engineering concepts
• Familiarity with LLMs and GenAI technologies
• Understanding of distributed systems and backend integration patterns
• Ability to work independently and collaboratively in a global team
Preferred:
• Experience with distributed data tools (e.g., Hadoop, Spark, Hive)
• Knowledge of databases (e.g., MySQL or other relational databases)
• Familiarity with containerization (Docker) and orchestration (Kubernetes/OpenShift)
• Background in financial services, banking, or risk environments
• Experience with AI developer tools such as Copilot
Company:
For 45 years, SGA has delivered technology and resource solutions that Fortune 500 organizations, mid-size companies, state and local governments, and higher education institutions rely on to achieve their goals/missions. Founded in 1981, the company is headquartered in Tarrytown, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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