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Python Finance Jobs in Dallas, TX (NOW HIRING)

CGI Inc.

Backend Python Developer

Dallas, TX · On-site

Exposure to telecom, financial services, or other large enterprise environments Other Information ... Python * SQLite * Kubernetes What you can expect from us: Together, as owners, let's turn ...

Motion Recruitment

Sr. Python Software Engineer

Irving, TX · Hybrid

$112K - $151K/yr

A well-known Financial Services Company is looking for a Software Engineer 4 in Las Colinas, TX ... Experience developing backend services using Python frameworks such as Django or FastAPI

Citi

Senior Python-AI Engineer Agentic Systems

Irving, TX · On-site

$116K - $157K/yr

Senior Python-AI Engineer, Agentic Systems Citi is building some of the most consequential AI ... This is an opportunity to shape the next generation of AI-powered financial technology at one of ...

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Showing results 21-40

All JobsPython Finance JobsPython Finance Jobs in Dallas, TX

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:

What job categories do people searching Python Finance jobs in Dallas, TX look for?

The top searched job categories for Python Finance jobs in Dallas, TX are:

Python Finance jobs near you
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 Engineer

Software Guidance & Assistance

Irving, TX • On-site

Other

Posted 3 days ago

New

Key responsibilities

  • Design, develop, and deploy advanced Generative AI models and applications, including chat interfaces.

  • Build and maintain dynamic chat interfaces with features such as HTTP streaming, asynchronous processing, secure file uploads, and chat formatting.

  • Troubleshoot and debug AI models and applications to resolve performance issues and optimize models for performance and scalability.

Job description

Software Guidance & Assistance, Inc., (SGA), is searching for a Sr. Python Engineer for a contract assignment with one of our premier financial services clients in Irving, TX.
Responsibilities:
  • Responsible for designing, developing, and deploying advanced Generative AI models and applications, including sophisticated chat interfaces.
  • Work on various aspects of the AI lifecycle, from research and prototyping to production deployment, contributing to solutions that drive innovation and efficiency within our organization.
  • Design, develop, and implement Generative AI models (e.g., LLMs, GANs, VAEs, Diffusion Models) using Python and relevant deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Integrate Generative AI capabilities into existing systems and develop new AI-powered applications.
  • Build and maintain dynamic and responsive chat interfaces for Generative AI solutions using React, incorporating features such as HTTP streaming for real-time updates, asynchronous processing for efficient user experience, secure file upload capabilities, and advanced chat formatting.
  • Conduct research and stay up-to-date with the latest advancements in Generative AI, natural language processing, and machine learning.
  • Optimize and fine-tune AI models for performance, scalability, and efficiency.
  • Develop robust data pipelines for training, evaluation, and deployment of AI models.
  • Collaborate with data scientists, machine learning engineers, and product managers to define requirements and deliver solutions.
  • Ensure the responsible and ethical deployment of AI models, adhering to best practices and regulatory guidelines.
  • Write clean, maintainable, and well-documented code, adhering to software development best practices.
  • Participate in code reviews, contribute to architectural discussions, and provide technical guidance.
  • Troubleshoot and debug AI models and applications, identifying and resolving performance bottlenecks and issues.
Required Skills:
  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • 5+ years of professional experience in software development, with a strong focus on Python.
  • Proven experience with Generative AI models, including hands-on experience with large language models (LLMs) or other generative architectures.
  • Experience with Google ADK or similar Google AI/ML platforms and SDKs.
  • Understanding of Deep learning frameworks such as TensorFlow, PyTorch, or JAX.
  • Strong front-end development skills, particularly with React, for building interactive user interfaces.
  • Demonstrable experience in implementing chat functionalities, including handling HTTP streaming, asynchronous operations, managing file uploads, and applying various chat formatting techniques.
  • Solid understanding of machine learning principles, algorithms, and data structures.
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform) and MLOps practices for deploying and managing AI models.
  • Familiarity with containerization technologies (e.g., Docker, Kubernetes).
  • Strong problem-solving skills and the ability to work independently and as part of a team.
  • Excellent communication and interpersonal skills.
By applying for a job with SGA, you agree to allow SGA to process your application for this and future opportunities in accordance with our Privacy Policy. Also, to ensure timely processing, you agree to be contacted by our AI recruiter via email, text, or phone. Message frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at to opt-out of AI communications. The choice not to engage with AI will not adversely impact your consideration for placement. AI is not used to make any hiring determinations.
SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at .
SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company to request an accommodation or assistance regarding our policy

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