ZipRecruiter

Log In

1

Financial Analyst Python Jobs in Texas (NOW HIRING)

Engelhart

Power & Gas Valuations Analyst

Houston, TX · On-site

Strong programming skills in Python and SQL. * Experienced with managing databases and implementing ... Bachelor's degree in a quantitative field (mathematics, engineering, finance, or computer science)

eClerx

Python Specialist

Austin, TX

$180K/yr

Analyze existing processes and identify opportunities for automation and optimization * Partner ... product, finance, supplier, inventory, employee, etc.). Eligibility Requirements * Strong ...

CARBO

Senior Business Analyst

Houston, TX · Hybrid

$88.30K - $114.10K/yr

The Senior Business Analyst, FP&A & Financial Systems owns financial reporting, forecasting ... Experience with Python, PySpark, or medallion-style data architecture. * Experience documenting ...

eClercx

Python Specialist

Austin, TX · On-site

$180K/yr

Analyze existing processes and identify opportunities for automation and optimization * Partner ... product, finance, supplier, inventory, employee, etc.). Eligibility Requirements * Strong ...

Wilks Brothers

Senior Business Analyst

Houston, TX · Hybrid

$88.30K - $114.10K/yr

The Senior Business Analyst, FP&A & Financial Systems owns financial reporting, forecasting ... Experience with Python, PySpark, or medallion-style data architecture. * Experience documenting ...

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 ...

next page

Showing results 1-20

People also search for

All JobsFinancial Analyst Python JobsFinancial Analyst Python Jobs in Texas

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 May 31, 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.

What is a Financial Analyst Python job?

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.

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.

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.

Will AI replace Financial analysts?

AI can automate routine tasks in financial analysis, such as data processing and reporting, but it is unlikely to fully replace financial analysts. Analysts' skills in interpreting complex data, providing strategic insights, and making judgment calls remain essential, and professionals who develop expertise in tools like Python and machine learning will continue to be valuable in the field.
More about Financial Analyst Python jobs
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 May 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $82,089 per year, or $39.5 per hour.
Senior API Engineer (Python / AWS)

Senior API Engineer (Python / AWS)

LPL Financial

Austin, TX • On-site

Full-time

Posted yesterday

LPL Financial rating

7.6

Company rating: 7.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

106th of 138 rated financial services

Job description

Job Summary:
LPL Financial is among the fastest growing wealth management firms in the U.S., and they are seeking a Senior API Engineer (Python / AWS) to design, build, secure, and operate high-quality, cloud-native REST APIs. This role is essential for modernizing legacy integrations and ensuring reliable, secure, and scalable API services.
Responsibilities:
• Design, develop, and maintain Python‑based REST APIs that support business‑critical workflows.
• Build APIs using AWS Lambda and Amazon API Gateway, following API‑first and REST best practices.
• Implement clean, testable, and well‑documented Python code suitable for enterprise production environments.
• Optimize API performance, reliability, scalability, and error handling.
• Ensure proper API versioning, contract stability, and backward compatibility.
• Implement secure authentication and authorization mechanisms such as OAuth2, JWT, and IAM‑based access.
• Enforce API security controls including request validation, throttling, rate limiting, and auditing.
• Partner with security teams to ensure APIs meet enterprise security and compliance standards.
• Provision and manage AWS infrastructure using Terraform.
• Create and maintain reusable Terraform modules for: API Gateway, Lambda, IAM roles and policies, CloudWatch logging and monitoring.
• Ensure environment consistency across DEV, QA, UAT, and PROD.
• Design and maintain CI/CD pipelines for build, test, and deployment of Python APIs.
• Support automated testing, packaging, versioning, and release management.
• Implement observability through logging, metrics, alerts, and tracing.
• Participate in troubleshooting, root cause analysis, and production support activities.
• Collaborate closely with application teams, platform engineering, cloud, and security teams.
• Align API design and implementation with enterprise architectural standards.
• Actively contribute to code reviews, design discussions, and technical documentation.
• Promote best practices and a culture of engineering excellence.
• Influence API engineering standards, patterns, and best practices across the organization.
• Contribute to architectural reviews and modernization efforts.
• Help drive consistent, scalable, and maintainable cloud‑native API solutions.
Qualifications:
Required:
• Minimum of 7 years of experience in software engineering, API engineering, or cloud application development.
• Demonstrated hands‑on experience with:
• Python for backend and API development
• REST API design and implementation
• AWS Lambda and Amazon API Gateway
• Terraform for Infrastructure as Code
• Experience building and operating APIs in large‑scale, production environments
• Experience with CI/CD, Git‑based workflows, and automated testing.
• Ability to troubleshoot production issues and support on‑call rotations when required.
• Bachelor’s degree in Computer Science, Engineering, or related field.
Preferred:
• Strong understanding of authentication, authorization, and secure API design.
• Experience with OAuth providers and identity platforms.
• Familiarity with AWS SAM or Serverless Framework (tooling experience).
• Exposure to event‑driven architectures (EventBridge, SNS/SQS).
• Experience operating APIs in regulated or enterprise environments (financial services preferred).
• Knowledge of observability tools such as CloudWatch, Dynatrace, Datadog, OpenTelemetry.
• Experience designing reusable API frameworks or shared libraries.
Company:
LPL Financial provides investment solutions and tools for independent financial advisors. Founded in 1968, the company is headquartered in Boston, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

What LPL Financial employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply