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Bank Python Jobs in Houston, TX (NOW HIRING)

Zortech Solutions

UI lead with React.js

Houston, TX · On-site

$47.75 - $62/hr

React.js, Java or Python (any one is fine) Nice to have: Node.js * Would say about 85% front end, ... Any SAP development experience is a plus Looking for a very diverse background, not only banking

JPMorgan Chase & Co

Software Engineer III

Houston, TX · On-site

$55 - $73.75/hr

As a Software Engineer III at JPMorganChase within the Commercial and Investment Bank, you serve as ... Handson Python application development experience * Proven experience developing, debugging, and ...

JPMorgan Chase & Co.

Software Engineer III

Houston, TX · On-site

$55 - $73.75/hr

As a Software Engineer III at JPMorganChase within the Commercial and Investment Bank, you serve as ... Hands-on Python application development experience * Proven experience developing, debugging, and ...

JP Morgan Chase

Software Engineer III

Houston, TX · On-site

$55 - $73.75/hr

As a Software Engineer III at JPMorganChase within the Commercial and Investment Bank, you serve as ... Handson Python application development experience * Proven experience developing, debugging, and ...

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How much do bank python jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for bank python in Houston, TX is $55.98, according to ZipRecruiter salary data. Most workers in this role earn between $46.15 and $63.61 per hour, depending on experience, location, and employer.

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

To thrive as a Bank Python Developer, you need strong programming skills in Python, expertise in financial data analysis, and a relevant degree in computer science or a related field. Familiarity with SQL databases, version control systems like Git, and experience with financial software or regulatory compliance tools are typically required. Attention to detail, problem-solving abilities, and effective communication are important soft skills that help in collaborating with cross-functional teams and ensuring accuracy. These skills and qualities are crucial to efficiently develop reliable banking applications, maintain system integrity, and adapt to the fast-evolving financial technology landscape.

How do Python developers in banking typically collaborate with other teams, such as risk management or data analysis?

Python developers in banking frequently work in cross-functional teams, collaborating closely with professionals from risk management, data analysis, and operations. They often translate complex business requirements into efficient, automated solutions, such as risk assessment models or data pipelines. Regular meetings, code reviews, and joint project planning are common practices to ensure alignment and compliance with regulatory standards. This collaborative environment not only enhances the quality of deliverables but also provides developers with a broader understanding of banking operations.

What is a Bank Python?

A Bank Python is not a recognized job title within the banking or technology industries. It may refer to a Python developer working in a bank, responsible for building, maintaining, or automating financial applications using the Python programming language. These professionals help streamline banking operations, develop algorithms for financial analysis, and ensure secure data processing. Their work is crucial for enhancing efficiency and accuracy in banking systems.

What is the difference between Bank Python vs Bank Data Analyst?

AspectBank PythonBank Data Analyst
Required CredentialsPython programming skills, possibly certifications in data analysis or programmingDegree in finance, economics, or data analysis; certifications like CFA or data analytics certifications
Work EnvironmentTech-focused teams within banks, working on automation, data processing, and software developmentFinancial institutions, analyzing data to inform business decisions, reporting, and risk assessment
Industry UsageUsed for automating banking processes, developing financial models, and data managementUsed for interpreting financial data, creating reports, and supporting strategic decisions

Bank Python professionals focus on programming and automation within banking systems, while Bank Data Analysts interpret financial data to guide business strategies. Both roles are vital in modern banking but differ in skill sets and daily tasks.

What are popular job titles related to Bank Python jobs in Houston, TX? For Bank Python jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Bank Python jobs in Houston, TX look for? The top searched job categories for Bank Python jobs in Houston, TX are:
What cities near Houston, TX are hiring for Bank Python jobs? Cities near Houston, TX with the most Bank Python job openings:
Bank Python jobs near you
Investment Banking Analyst, Energy Engineer - Houston

Investment Banking Analyst, Energy Engineer - Houston

Moelis

Houston, TX • On-site

Full-time

Posted 10 days ago

Job description

We are passionate about our business and our culture, and are seeking individuals with that same drive.

Job Description

Day-to-Day Responsibilities:
Lead and ensure technical excellence in the analysis and valuation of oil and gas assets.
Drive the preparation of client presentations and serve as a key point of contact for senior bankers and clients.
Oversee company and industry research, synthesizing findings into actionable strategic insights and recommendations.
Manage and mentor analysts in handling large datasets, technical workflows, and extracting critical business insights.


Primary Responsibilities:

Lead the development, calibration, and validation of type curves and production forecasts across a broad spectrum of oil and gas assets.
Apply advanced reservoir engineering and data science methodologies to formulate and defend optimized development strategies for client assets.
Direct the generation, categorization, and risk-assessment of undeveloped inventory.
Own the construction, population, and quality-control of complex discounted cash flow (DCF) valuation models using ARIES, PHDWin, and/or ComboCurve, and clearly articulate results to clients.
Own the development and maintenance of technical databases (ARIES, ComboCurve, PHDWin, SQL/Parquet, etc.) used for valuation and marketing analyses.
Lead technical and operational due-diligence workstreams, including diligence calls with counterparties, creation of deal materials, model audit, and process management from start to finish.
Partner closely with senior bankers to support transaction execution, client deliverables, buyer interaction, and process integrity.

Required Skills & Experience:

Strong data-analytics and problem-solving capabilities.
Exceptional attention to detail with the ability to manage multiple complex workstreams simultaneously.
Proven ability to perform under pressure and meet tight deadlines in a fast-paced, deal-driven environment.
Strong analytical and numerical skills with comfort navigating complex technical & financial datasets.
Strong presentation, communication, and client-facing skills.
Ability to challenge assumptions and contribute independent, critical thinking.
Effective team player capable of working with a wide range of internal groups and external stakeholders.
Advanced proficiency in Microsoft Excel; strong working knowledge of the full Microsoft Office suite.
Strong coding experience (Spotfire, Python, SQL, VBA, etc.) and demonstrated ability to automate workflows or handle large datasets.
Prior experience working with public oil & gas datasets (Enverus, IHS, state agencies, etc.).


Qualifications:

Bachelor's or Master's degree in Petroleum Engineering preferred; MBA or other advanced technical or quantitative degree is a plus.
1-2+ years of experience in the oil & gas industry, ideally in A&D, corporate development, reservoir engineering, or investment banking.
Minimum GPA: 3.5.

Desired Major:Petroleum Engineering.

We are an Equal Opportunity Employer. Applicants are considered for employment opportunities without regard to race, age, religion, color, sex (including pregnancy and gender identity), parental status, national origin, marital status, veteran status, sexual orientation, political affiliation, citizenship status, genetic information (including family medical history), disability (in compliance with the Americans with Disabilities Act and any other applicable law), or any other characteristic or status protected under any applicable US, state or other law. This policy applies to all terms and conditions of employment, including recruitment and hiring, appraisal systems, promotions, and training.

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