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Python Finance Jobs in Dallas, TX (NOW HIRING)

Citigroup, Inc.

Java-Python Context Engineer

Irving, TX · On-site

$107K - $160K/yr

... financial services contexts. * Databases: Proficiency with relational (PostgreSQL, Oracle) and ... Python/Java * Monitor and control all phases of development process and analysis, design ...

Sirius XM Radio

Staff Python Engineer

Irving, TX · On-site

Billing & Finance Platforms - the source of truth for revenue calculation, reconciliation ... Deep expertise in Python (Django, FastAPI, or similar frameworks) and backend architecture ...

Deloitte

Finance Analytics & AI Senior Consultant

Dallas, TX · On-site

$115K/yr

Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL ... Within our Finance Transformation offering, the Business Finance team helps unlock strategic value ...

Deloitte

Finance Analytics & AI Senior Consultant

Dallas, TX · On-site

$115K/yr

Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL ... Within our Finance Transformation offering, the Business Finance team helps unlock strategic value ...

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All JobsPython Finance JobsPython Finance Jobs in Dallas, TX

Python Finance information

See Dallas, TX salary details

$13

$57

$85

How much do python finance jobs pay per hour?

As of Jul 25, 2026, the average hourly pay for python 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.

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 Dallas, TX? For Python Finance jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Python Finance jobs in Dallas, TX look for? The top searched job categories for Python Finance jobs in Dallas, TX are:
Python Finance jobs near you
Infographic showing various Python Finance job openings in Dallas, TX as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $120,620 per year, or $58 per hour.

Finance Analytics Developer

Texascapitalbank

Richardson, TX

Full-time

Medical, Life, Retirement, PTO

Posted 14 days ago

Job description

Texas Capital is built to help businesses and their leaders. Our depth of knowledge and expertise allows us to bring the best of the big firms at a scale that works for our clients, with highly experienced bankers who truly invest in people's success - today and tomorrow.

While we are rooted in core financial products, we are differentiated by our approach. Our bankers are seasoned financial experts who possess deep experience across a multitude of industries. Equally important, they bring commitment - investing the time and resources to understand our clients' immediate needs, identify market opportunities and meet long-term objectives. At Texas Capital, we do more than build business success. We build long-lasting relationships.

Texas Capital provides a variety of benefits to colleagues, including health insurance coverage, wellness program, fertility and family building aids, life and disability insurance, retirement savings plans with a generous 401K match, paid leave programs, paid holidays, and paid time off (PTO).

Headquartered in Dallas with offices in Austin, Fort Worth, Houston, Richardson, Plano and San Antonio, Texas Capital was recently named Best Regional Bank in 2024 by Bankrate and was named to The Dallas Morning News' Dallas-Fort Worth metroplex Top Workplaces 2023 and GoBankingRate's 2023 list of Best Regional Banks. For more information about joining our team, please visit us at www.texascapitalbank.com.

Overview of Position

Own analytics that directly influence Finance strategy. Partner with leaders to translate business needs into insights, and build toward AI- and advanced analytics-driven solutions that accelerate impact. You'll operate independently, collaborate as a technical peer with engineers and fellow BI analysts, and see your work drive real decisions. This role is ideal for someone with 1-3 years of experience who wants end-to-end ownership of analytical problems and brings the technical foundation and curiosity to grow in AI-powered analytics.

Responsibilities

We're building the next generation of Finance analytics, moving from static reporting to dynamic, AI-assisted insights that the CFO organization relies on daily. This role sits at that center: you'll maintain our existing financial data foundation while designing and deploying new analytics products that drive decisions on FP&A, liquidity management, and financial performance, increasingly with AI-powered workflows.

  • Write clean, well-documented SQL and Python that others can maintain and build on; learn to apply agentic AI to financial analytics workflows, automating insight generation, explaining anomalies in data, and accelerating report narratives

  • Build dashboards and data applications Finance teams actually use, and improve them based on real feedback

  • Validate data accuracy against business expectations and collaborate with data engineering and our data governance program to identify and resolve data quality issues

  • Translate analytical findings into clear narratives for Finance leadership, including the CFO and other senior stakeholders

  • Collaborate with senior analytics developers on AI integration: help design and test LLM-powered analytics workflows, learning prompt engineering, tool use, and multi-step reasoning for financial analysis

  • Proactively spot gaps in existing analytics and propose solutions, including where AI tooling could unlock new capabilities

  • Participate in code reviews and communities of practice to share learnings and contribute to the growing AI analytics practice within the organization

Required Qualifications

  • 1-3 years of hands-on experience in analytics or data science

  • Proficiency in SQL and Python; comfortable writing production-quality, version-controlled code

  • Familiarity with dimensional modeling and cloud data warehouses; Snowflake experience is a plus

  • Hands-on experience building dashboards in at least one modern BI tool (Power BI, Sigma, Looker, or similar)

  • Able to communicate technical work clearly to non-technical audiences

  • Bachelor's degree in a quantitative field (Computer Science, Data Science, Statistics, Engineering, or related) required

Preferred Qualifications

  • Foundational knowledge of AI and LLMs: basic understanding of how language models work, prompt engineering concepts, and API integration

  • Background in financial reporting, FP&A, or related Finance operations

  • Experience with Streamlit or Posit for analytical applications

  • Comfortable with code reviews, version control, and iterative delivery

  • Demonstrated eagerness to learn AI development with a growth mindset

The duties listed above are the essential functions, or fundamental duties within the job classification. The essential functions of individual positions within the classification may differ. Texas Capital Bank may assign reasonably related additional duties to individual employees consistent with standard departmental policy.Texas Capital is an Equal Opportunity Employer.

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