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Python Finance Jobs in Texas (NOW HIRING)

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 Data Engineer Location: Houton, TX - 5 Days onsite role Long Term Project Job ... Experience in Banking/Finance or Risk Domains Diverse Lynx LLC is an Equal Employment Opportunity ...

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

Gen AI Developer (Python)

Irving, TX · On-site

$48.25 - $66.50/hr

Gen AI Developer (PYTHON) Global Financial Firm located in Irving, TX has an immediate contract opportunity for an experienced Gen AI Developer (PYTHON). Responsibilities: * Partner with multiple ...

Senior Python Developer

Irving, TX · On-site

$74 - $78/hr

Sr Python Developer Opportunity Global Financial Firm located in Irving, TX has an immediate contract opportunity for an experienced Sr Python Developer. Pay Rate: $74.00 - $78.00 Negotiable based ...

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

Is Python enough to get a finance job?

Python is a valuable skill for finance jobs such as quantitative analyst, data analyst, or financial engineer, as it is widely used for data analysis, modeling, and automation. However, employers often look for additional skills like finance knowledge, statistical understanding, and experience with tools such as Excel, SQL, or financial modeling. Combining Python with domain expertise and other technical skills increases job prospects in finance roles.

What finance jobs use Python?

Finance jobs that use Python include quantitative analyst, financial analyst, risk manager, and algorithmic trader roles. These positions often require skills in data analysis, modeling, and automation, with Python being used for tasks such as data processing, backtesting strategies, and building financial models.

Is Python a high paying job?

Python roles in finance, such as quantitative analysts or financial software developers, tend to offer high salaries due to the demand for programming skills and financial knowledge. Compensation varies based on experience, location, and industry, but Python expertise is generally associated with well-paying positions in finance and data analysis. Certifications and proficiency with related tools like pandas or NumPy can also enhance earning potential.

Is Python useful in finance?

Python is widely used in finance roles such as quantitative analyst, trader, and financial engineer due to its simplicity and extensive libraries like pandas, NumPy, and scikit-learn. It is commonly employed for data analysis, algorithmic trading, risk management, and financial modeling, making it a valuable skill for finance professionals.

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.
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 June 2026, with employment types broken down into 90% Full Time, 7% Part Time, 2% Contract, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

$120K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago


Job description

Must Have Technical/Functional Skills
Primary Skill: AI Engineer
Secondary: Python
Experience: Minimum 10 years
Roles & Responsibilities
• Design, develop, and deploy AI applications using Python, Expert-level Python programming
• Proficiency in AI frameworks (TensorFlow, PyTorch, Keras, Scikit-learn)
• Experience with LLMs, RAG, OpenAI APIs
• Cloud/DevOps experience (Azure/AWS, SageMaker, Kubernetes, CI/CD)
• Database expertise (SQL & NoSQL)
• Develop and maintain Python backend services, APIs, and microservices
• Integrate machine learning models, neural networks, and generative AI (Transformers, LLMs)
• Implement AI solutions on cloud platforms (AWS, Azure, Google Cloud)
• Build and fine-tune Generative AI with frameworks (TensorFlow, PyTorch, Hugging Face)
• Monitor and improve model performance and scalability
• API development (RESTful) preferred
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $120,000-$140,000 a year