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Python Finance Jobs in Texas (NOW HIRING)

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 ...

Senior Python Developer

Irving, TX · On-site +1

$74 - $78/hr

Sr Python Developer Global Financial Firm located in Irving, TX has an immediate contract opportunity for an experienced Sr Python Developer. This role is currently on a hybrid schedule. You will ...

Gen AI Developer (Python)

Irving, TX · On-site +1

$64 - $70/hr

Gen AI Developer (PYTHON) Global Financial Firm located in Irving, TX has an immediate contract opportunity for an experienced Gen AI Developer (PYTHON). This role is currently on a hybrid schedule.

Python Developer

Addison, TX · On-site

$48.75 - $67/hr

Full Stack Python FastAPI Developer Duration: 9 Months Contract Role Location: Denver, CO, Addison ... layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K ...

Python PySpark Developer

Plano, TX

$48 - $66.25/hr

... of financial industry and their IT systems Preferred qualifications, capabilities, and skills Expert in one or more programming language(s) preferably Java AWS Associate level certification in ...

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Python Finance information

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.

What are popular job titles related to Python Finance jobs in Texas? For Python Finance jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Python Finance jobs? Cities in Texas with the most Python Finance job openings:
Infographic showing various Python Finance job openings in Texas as of May 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution.

Django Python Developer

Ttcpa

Plano, TX • On-site

Full-time

Posted 15 days ago


Job description

Job description
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 experience with Python/Django, Javascript (especially jQuery)
• Is relentless & resourceful in a fast-paced, startup environment
• Able to communicate complex ideas in simple terms
• Experience on AWS or other cloud-based infrastructure providers
Preferred
• Demonstrate on Github you've built something kickass
• Contrarian thinker able to prove an idea and execute perfectly to launch
• Handy with Linux command line (Ubuntu or Centos)
• Experience with performance optimization, scaling, event analytics
• Can write scripts on Fabric and deploy to a Linux instance
• Good sense of humor
About the team
Over 25 million people use TurboTax software every year to file their taxes. But many more millions still walk into a tax store. You will be joining the small team of successful startup people that are disrupting the multi-billion dollar tax industry with their first product, TurboTax CPA Select. The service provides high quality tax help at a fraction of the price of a tax store by allowing consumers to connect with quality tax professionals online. The unique team is heavily financed by Intuit---makers of TurboTax, Quickbooks, and Mint---while still living and breathing "lean startup" to ultimately build a service anyone can use.