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Python For Finance Jobs in Dallas, TX (NOW HIRING)

TurboTax CPA Select

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 ...

CX Data Labs

five9 Developer

Dallas, TX · On-site

Programming/scripting skills (JavaScript, Python, REST APIs) a plus. * Five9 certification preferred; experience in CCaaS projects for finance a strong advantage.

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 ...

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$13

$57

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How much do python for finance jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for python for 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 the difference between Python For Finance vs Quantitative Analyst?

AspectPython For FinanceQuantitative Analyst
Required CredentialsPython skills, finance knowledge, possibly finance-related certificationsAdvanced degrees (e.g., MSc, PhD) in finance, mathematics, or related fields; certifications like CFA
Work EnvironmentFinancial firms, trading desks, investment banks, hedge fundsFinancial institutions, hedge funds, asset management firms, consulting
Employer & Industry UsageUsed for developing trading algorithms, risk modeling, data analysisDevelops quantitative models, risk assessments, trading strategies

Python For Finance focuses on using Python programming to analyze financial data and develop models, often as a technical skill. Quantitative Analysts, however, apply advanced mathematical and statistical techniques to create complex financial models. While both roles require strong analytical skills, Quantitative Analysts typically have higher-level degrees and certifications, and their work involves more theoretical modeling. Python For Finance is often a skill within a Quantitative Analyst's toolkit, but the roles differ in scope and depth.

How does a Python for Finance professional typically collaborate with other departments within a financial organization?

Python for Finance professionals frequently work alongside departments such as data analytics, risk management, and portfolio management. They often translate complex financial models into scalable code, automate data processes, and support decision-making by providing actionable insights through data analysis. Effective communication and collaboration are essential, as these professionals must understand the specific needs of stakeholders and ensure that technical solutions align with business objectives. Regular meetings, code reviews, and cross-functional project teams are common structures within the work environment.

What is Python for Finance?

Python for Finance refers to the use of the Python programming language for financial analysis, modeling, trading, and data visualization. Financial professionals use Python to automate data processing, analyze large financial datasets, build quantitative models, and develop trading algorithms. Its vast ecosystem of libraries such as Pandas, NumPy, and Matplotlib makes Python a popular choice in the finance industry for tasks ranging from risk management to portfolio optimization.

What are the key skills and qualifications needed to thrive as a Python Developer in Finance, and why are they important?

To thrive as a Python Developer in Finance, you need strong programming skills in Python, a solid understanding of financial concepts, and often a degree in computer science, finance, or a related field. Familiarity with financial libraries (such as pandas, NumPy, and QuantLib), databases, and version control systems is typically required, and certifications in data science or finance can be advantageous. Analytical thinking, attention to detail, and effective communication are vital soft skills for interpreting financial data and collaborating with cross-functional teams. These skills are essential to develop robust financial solutions, ensure data accuracy, and drive informed decision-making in a highly regulated and data-driven industry.
What cities near Dallas, TX are hiring for Python For Finance jobs? Cities near Dallas, TX with the most Python For Finance job openings:
Python For Finance jobs near you

Django Python Developer

TurboTax CPA Select

Plano, TX • On-site, Remote

Other

Posted 5 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.

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