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Python Finance Jobs in Texas (NOW HIRING)

Eitacies Inc

GenAI Architect Finance

Austin, TX · On-site

$60/hr

This role requires deep expertise in Generative AI, Python development and scalable system architecture , along with the ability to work cross-functionally with finance and engineering teams. Key ...

Infosys Limited

Python AWS AI Architect

Plano, TX · On-site

$120 - $160/hr

Our AI-driven solutions empower financial institutions to make smarter decisions, enhance customer ... Experience in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). * Experience in ...

Infosys Limited

Java backend with Python

Plano, TX · On-site

$80 - $120/hr

Our AI‑driven solutions empower financial institutions to make smarter decisions, enhance ... Proficiency in Python, Gitlab, Terraform. Preferred Skill and Experience * Experience with CI/CD ...

Apex Informatics

QA (python, automation)

Dallas, TX · On-site

Job Title: Sr. QA (python, automation) on W2 Location: Pittsburgh, PA or Dallas, TX/Strongsville ... Previous experience in Finance * Database background and automation experience. Describe the role ...

ComboCurve, Inc.

Senior Software Engineer, Python

Houston, TX · On-site +1

$117K - $154K/yr

... financial teams make informed decisions faster. Trusted by top energy companies, ComboCurve ... This role is ideal for someone who loves writing modern Python, caring about architecture and ...

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Python Finance information

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 job categories do people searching Python Finance jobs in Texas look for?

The top searched job categories for Python Finance jobs in Texas are:

What cities in Texas are hiring for Python Finance jobs?

Cities in Texas with the most Python Finance job openings:

Python Finance jobs near you
Infographic showing various Python Finance job openings in Texas as of August 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution.