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Python Finance Jobs in Texas (NOW HIRING)

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Django Python Developer

Plano, TX · On-site +1

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 ...

Ttcpa

Django Python Developer

Plano, TX · On-site

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 ...

Ttcpa

Django Python Developer

Plano, TX · On-site

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 ...

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 ...

New

Zenith services

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 ...

JP Morgan Chase

Lead Software Engineer Python AWS

Plano, TX · On-site

$130K - $160K/yr

As a Lead Software Engineer Python AWS at JPMorgan Chase within the Corporate Technology, you are ... Application architecture disciplines and technical design for financial applications. * Experienced ...

Hired Recruiters

Senior Python Developer (Back-end)

Austin, TX · On-site +1

$120K - $162K/yr

We are building a product to improve financial inclusion and democratize access to credit, such as ... You are a python master - Love building APIs using Flask/Django/FastAPI or any other modern ...

CGI Inc.

AWS Python Full Stack Developer

Plano, TX · On-site

CGI is seeking a AWS Python Full Stack Developer to support the design, development, and delivery of modern cloud based applications within a fast paced financial services environment. This role will ...

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Showing results 21-40

All JobsPython Finance JobsPython Finance Jobs in Texas

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 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 July 2026, with employment types broken down into 91% Full Time, 6% Part Time, 2% Contract, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Sr. Quant Python Developer

Sr. Quant Python Developer

Avani Technology Solutions, Inc.

Austin, TX • On-site

$120K - $162K/yr

Full-time

Posted 12 days ago

Job description

Role: Sr. Quant Python Developer
Contract length: 1 year with two 1 year renewal options
Start date: As Soon As Possible
Location: Downtown Austin, TX
Job Description:
The Senior Quant Developer performs highly advanced (senior-level) python programming to support our quantitative equity strategies team. Works under minimal supervision with extensive latitude for initiative and independent judgement.
Minimum/Preferred Qualifications:
• 3+ years of solid Python programming skills to cleanse, manipulate, and present data, particularly using quantitative data analysis libraries such as Pandas, NumPy, SciPy, etc.
• 3+ years of financial industry experience in a report development, data science, business analytics, business intelligence or comparable data engineering role, including data warehousing and business intelligence tools, techniques and technology
• 6+ years of full-time experience developing and maintaining enterprise scale applications
• Experience deploying and supporting Python apps to both Windows and Linux environments
• Knowledge of TSQL to write complex, highly-optimized queries across large volumes of data
• Experience managing projects and developing applications using the Agile SCRUM methodology
• Excellent oral and written communication skills
• Ability to explain complicated or technical information in a simple way to non-technical audiences
• Ability and willingness to refactor code produced by others and make production-ready
• Intellectual curiosity and passion about data, visualization and solving problems
• Creativity to determine the best solution for a real-world problem with quantitative data
• Experience with reporting, descriptive statistics, probability, and cleaning big datasets
• Willingness to question the validity, accuracy of data and assumptions
• Enjoyment from collaborating with others in team environment
• Eagerness to learn in a fast-paced environment
• Drive and self-reliance
• Bachelor's degree in math, statistics, computer science, or equivalent technical field from an accredited college or university

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