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Financial Analyst Python Jobs in Texas (NOW HIRING)

JP Morgan Chase

Quant Analytics-Senior Associate

Plano, TX

$79K - $99K/yr

As a Senior Associate - Mortgage Finance Analytics in Asset & Wealth Management Finance & Business ... Programming experience in Python, R, SAS, or similar tools * Understanding of banking and balance ...

J.P. Morgan

Quant Analytics-Senior Associate

Plano, TX

$81K - $101K/yr

As a Senior Associate - Mortgage Finance Analytics in Asset & Wealth Management Finance & Business ... Programming experience in Python, R, SAS, or similar tools * Understanding of banking and balance ...

GameStop

Sr. Data Analyst

Grapevine, TX · On-site

$146K/yr

Reporting forecasted spend, volume, and rates to Director of Finance and Financial Analyst ... Python - Labor, Headcount, SFC Failure Analysis, QA metrics, Inventory Control/Shrink metrics for ...

GM Financial

Digital Analyst II

Irving, TX · Hybrid

Why GM Financial Technology Innovation isn't just a talking point at GM Financial, it's how we ... Proficiency in data analysis using SAS, Python, SQL, and large-scale data platforms such as ...

VLink Inc

Allvue/Python Developer

Westlake, TX · On-site

$48.25 - $66.50/hr

... and analytics. * Integrate Allvue API endpoints to synchronize investment management data using ... time financial data exchange. * Develop robust ETL APIs that automate data mining and transfer ...

MDAEdge

Python Developer - Oil & Gas Sector

Houston, TX · On-site

$48 - $66/hr

The role involves developing Python-based analytics workflows, building Monte Carlo simulations ... Preferred : • Familiarity with Oil & Gas operations or financial/risk modeling. Company : The ...

Frost Bank

Model Validation Analyst II

San Antonio, TX · On-site

Perform independent validations of financial, statistical, and behavioral models commensurate with ... Proficient in either SQL, SAS, R, or Python * Advanced knowledge of Microsoft Excel * Proficient in ...

Superlogix, Inc

Python Developer

Fort Worth, TX · On-site

$48 - $66.25/hr

Strong analytical and problem-solving skills. * B.S. or M.S. (Computer Science preferred ... Experience in the financial industry. Qualifications Additional Information All your information ...

Superlogix, Inc

Python Developer

Fort Worth, TX

$48 - $66.25/hr

Strong analytical and problem-solving skills. * B.S. or M.S. (Computer Science preferred ... Experience in the financial industry. Additional Information All your information will be kept ...

Frost Bank

Model Validation Analyst II

San Antonio, TX · On-site

Perform independent validations of financial, statistical, and behavioral models commensurate with ... Proficient in either SQL, SAS, R, or Python * Advanced knowledge of Microsoft Excel * Proficient in ...

Optimus

Sr Trade Control Analyst

Houston, TX · On-site

$77K - $96K/yr

Bachelor's degree in Business, Finance, Mathematics, Engineering, or a related field. * Experience ... Experience with VBA, SQL, Python, or similar data analysis/automation tools is a strong plus.

Kaav Inc

Python Engineer-W2

Plano, TX · On-site

Strong problem-solving and analytical skills, with the ability to troubleshoot complex middleware ... Ability to work in a fast-paced, large-scale financial services environment

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Financial Analyst Python information

See Texas salary details

$35.9K

$82.1K

$109.9K

How much do financial analyst python jobs pay per year?

As of Aug 9, 2026, the average yearly pay for financial analyst python in Texas is $82,089.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $102,900.00 per year, depending on experience, location, and employer.

Is Python in high demand for financial analysts?

Python is highly in demand for financial analysts as it is widely used for data analysis, automation, and modeling tasks. Proficiency in Python, along with skills in data visualization and libraries like pandas and NumPy, can improve job prospects and efficiency in the role.

What is a financial analyst python?

A Financial Analyst Python job involves using Python to analyze financial data, build models, automate reporting, and support decision-making. Analysts leverage libraries like Pandas, NumPy, and Matplotlib to clean, visualize, and interpret financial trends. They may work on budgeting, forecasting, risk assessment, or algorithmic trading. Python helps streamline data processing, improve accuracy, and enhance financial insights.

Is Python in high demand as a financial analyst?

Python is increasingly in high demand for financial analysts due to its capabilities in data analysis, automation, and modeling. Many financial firms seek analysts skilled in Python to improve efficiency and develop advanced financial algorithms.

Do financial analysts use Python?

Financial analysts often use Python for data analysis, modeling, and automation due to its powerful libraries like pandas and NumPy. Proficiency in Python can enhance efficiency and accuracy in financial tasks, making it a valuable skill in the field.

What are the typical daily responsibilities of a financial analyst python?

A Financial Analyst Python typically spends their day gathering, cleaning, and analyzing large datasets to uncover important financial trends and support strategic decisions. The role involves building and maintaining financial models, automating repetitive reporting tasks using Python scripts, and interpreting the results for senior management. Analysts frequently collaborate with other finance team members, data scientists, and business units to align on business objectives and share actionable insights. Daily work may also include monitoring key financial metrics, preparing visualizations, and participating in meetings to communicate findings and recommendations.

Which Python job is in demand?

Python roles such as Data Analyst, Data Scientist, and Software Developer are highly in demand across industries. Financial analysts with Python skills are sought after for automation, data analysis, and modeling tasks, often requiring knowledge of libraries like pandas, NumPy, and visualization tools. These positions typically value proficiency in Python programming, data manipulation, and analytical problem-solving.

What are the key skills and qualifications needed to thrive in the financial analyst python position, and why are they important?

To thrive as a Financial Analyst Python, you need strong analytical abilities, a solid grasp of finance and accounting principles, and advanced proficiency in Python programming, typically backed by a degree in finance, economics, or a related field. Experience with data analytics libraries (such as pandas, NumPy, and matplotlib), databases, and certifications like CFA or relevant data analytics credentials is highly beneficial. Attention to detail, problem-solving skills, and the ability to communicate complex insights clearly are vital soft skills in this role. These capabilities enable effective modeling, accurate forecasting, and meaningful collaboration with both technical and non-technical stakeholders to drive smart financial decisions.

Is Python in high demand for a financial analyst?

Python is highly in demand for financial analysts as it is widely used for data analysis, automation, and modeling tasks. Proficiency in Python, along with skills in data visualization and financial libraries like pandas and NumPy, can enhance job prospects and efficiency in the role.

Which Python financial analyst job is in demand?

Python financial analyst roles are in high demand across the finance and investment sectors due to their ability to automate data analysis, develop models, and improve decision-making processes. Skills in Python programming, data analysis, and familiarity with financial tools like pandas and NumPy are highly valued, and certifications such as CFA or FRM can enhance job prospects.

Is Python good to learn for finance?

For a financial analyst, learning Python is highly beneficial as it is widely used for data analysis, automation, and modeling in finance. Proficiency in Python can improve efficiency and enable handling large datasets, making it a valuable skill in the finance industry.

Is Python in high demand?

Python is highly in demand for financial analyst roles, especially those involving data analysis, automation, and modeling. Employers value Python skills alongside knowledge of financial concepts and tools like pandas, NumPy, and Jupyter notebooks, making it a valuable programming language in the finance industry.
What are the most commonly searched types of Financial Analyst Python jobs in Texas? The most popular types of Financial Analyst Python jobs in Texas are:
What are popular job titles related to Financial Analyst Python jobs in Texas? For Financial Analyst Python jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Financial Analyst Python jobs in Texas look for? The top searched job categories for Financial Analyst Python jobs in Texas are:
Financial Analyst Python jobs near you
Infographic showing various Financial Analyst Python job openings in Texas as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution, with an average salary of $82,089 per year, or $39.5 per hour.

Finance Analytics Developer

Texas Capital Bank

Richardson, TX • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 29 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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About Texas Capital Bank

Sourced by ZipRecruiter

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

Industry

Commercial banking

Company size

1,001 - 5,000 Employees

Headquarters location

Dallas, TX, US

Year founded

1998

Social media

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