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Python Finance Jobs in Dallas, TX (NOW HIRING)

Python / GenAI Developer

Dallas, TX · On-site

$50 - $68.75/hr

Python / GenAI Developer (Junior & Senior Roles Available) Location: Dallas, TX Position Overview ... Fine-tune, evaluate, and deploy Generative AI models for automated financial analysis and ...

Senior Python Developer

Dallas, TX · On-site

$120K - $161K/yr

This Senior Python Developer with PL/SQL role bridges high-performance backend automation with ... Design, build, and optimize scalable financial microservices and REST APIs using FastAPI, Flask, or ...

Python Developer

Dallas, TX · On-site

$49.75 - $68.50/hr

In addition, our industry expertise and knowledge within financial services, Insurance, Telecom ... Title: Python Developer Type: Contract Location: Dallas, TX Leading the front-end development ...

Python Software Engineer Dallas, TX Client: CVS We are looking for an experienced Python Software ... financial services, enterprise applications, or other large-scale environments. * · Exposure to ...

New

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 ...

Python & Snowflake Developer

Dallas, TX · On-site

$49.75 - $68.50/hr

Hi Python & Snowflake Developer Hybrid in Dallas or Tampa - must be local 6-12 Months CTH Required Qualifications *  Bachelor's degree in Computer Science, Information Systems, Engineering, or ...

New

Needed for Python Developer

Plano, TX

$48 - $66.25/hr

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

Python Engineer- USC/GC/ GC EAD/ H4 EAD- W2 Location: Charlotte NC/Plano TX - Look for local ... Ability to work in a fast-paced, large-scale financial services environment

Python/Django web developer needed for a startup team that is revolutionizing the consumer finance space. Remote or Dallas/Austin based developers will be considered. Requirements Extensive ...

Python/Django web developer needed for a startup team that is revolutionizing the consumer finance space. Remote or Dallas/Austin based developers will be considered. Requirements Extensive ...

Python/Django web developer needed for a startup team that is revolutionizing the consumer finance space. Remote or Dallas/Austin based developers will be considered. Requirements • Extensive ...

Python/Django web developer needed for a startup team that is revolutionizing the consumer finance space. Remote or Dallas/Austin based developers will be considered. Requirements • Extensive ...

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Python Finance information

See Dallas, TX salary details

$13

$57

$85

How much do python finance jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for python finance in Dallas, TX is $57.99, according to ZipRecruiter salary data. Most workers in this role earn between $47.79 and $65.87 per hour, depending on experience, location, and employer.

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.

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 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.

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 popular job titles related to Python Finance jobs in Dallas, TX?

For Python Finance jobs in Dallas, TX, the most frequently searched job titles are:

Infographic showing various Python Finance job openings in Dallas, TX as of August 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $120,620 per year, or $58 per hour.

Python / GenAI Developer

Cliff Services Inc

Dallas, TX • On-site

$50 - $68.75/hr

Other

Posted 29 days ago


Job description

Job Title: Python / GenAI Developer (Junior & Senior Roles Available)
Location: Dallas, TX
Position Overview
We are seeking Junior and Senior Python Developers specializing in Generative AI and LangGraph to join our team in Dallas. You will build and scale AI-driven applications, agentic workflows, and intelligent automation pipelines for a major banking client.
Key Responsibilities For Senior Candidates:
  • Agentic Frameworks: Architect and build multi-agent orchestration systems using LangGraph and LangChain.
  • Pipeline Engineering: Design complex Python-based backend architectures to process sensitive banking data safely.
  • LLM Integration: Fine-tune, evaluate, and deploy Generative AI models for automated financial analysis and compliance.
  • Technical Mentorship: Guide junior team members through advanced coding standards and code reviews.
For Junior Candidates:
  • Code Development: Write clean, maintainable Python scripts to support AI application development.
  • Workflow Support: Implement stateful graphs and conversational flows using LangGraph under senior guidance.
  • Data Ingestion: Assist in building data pipelines, prompt engineering, and parsing banking documents.
  • Testing: Write unit tests to validate the accuracy and safety of AI model outputs.
Required Skills & Qualifications
  • Core Language: Strong proficiency in Python development and data structures.
  • GenAI Toolkit: Hands-on experience with LLMs, prompt engineering, and RAG frameworks.
  • Orchestration: Experience building complex, cyclical graph workflows using LangGraph.
  • Database Skills: Experience with relational SQL databases and vector databases (e.g., Pinecone, Chroma).
  • Industry Domain: Understanding of financial security practices and data handling is highly preferred.