Basic to intermediate experience with SQL, Python, Power Query, or other analytical tools used to ... Knowledge of banking, financial services, or regulatory environments * Relocation assistance is not ...
Basic to intermediate experience with SQL, Python, Power Query, or other analytical tools used to ... Knowledge of banking, financial services, or regulatory environments * Relocation assistance is not ...
Platform Engineer
Iowa, LA · On-site
Exposure to basic scripting (Bash/Python) for everyday automation tasks * Basic programming or ... Interest in financial services, banking, or regulated-industry technology * Applicants must be ...
Platform Engineer
Iowa, LA · On-site
Exposure to basic scripting (Bash/Python) for everyday automation tasks * Basic programming or ... Interest in financial services, banking, or regulated-industry technology * Applicants must be ...
Marketing Analyst
Iowa, LA · On-site +1
$73K - $98K/yr
Build and maintain dashboards, reports, and analytical models using Python, SQL, and BI tools ... Experience in financial services , insurance, banking, lending, fintech, or other regulated ...
Marketing Analyst
Iowa, LA · On-site +1
$73K - $98K/yr
Build and maintain dashboards, reports, and analytical models using Python, SQL, and BI tools ... Experience in financial services , insurance, banking, lending, fintech, or other regulated ...
Bank Python information
See Lake Charles, LA salary details
$12.13 - $18.23
1% of jobs
$18.23 - $24.32
0% of jobs
$24.32 - $30.42
2% of jobs
$30.42 - $36.51
5% of jobs
$36.51 - $42.61
11% of jobs
$44.40 is the 25th percentile. Wages below this are outliers.
$42.61 - $48.70
18% of jobs
The median wage is $51.88 / hr.
$48.70 - $54.80
24% of jobs
$59.46 is the 75th percentile. Wages above this are outliers.
$54.80 - $60.89
18% of jobs
$60.89 - $66.99
13% of jobs
$66.99 - $73.08
5% of jobs
$73.08 - $79.18
3% of jobs
$12
$53
$79
How much do bank python jobs pay per hour?
As of Sep 14, 2026, the average hourly pay for bank python in Lake Charles, LA is $53.78, according to ZipRecruiter salary data. Most workers in this role earn between $44.33 and $61.11 per hour, depending on experience, location, and employer.
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 are the key skills and qualifications needed to thrive as a Bank Python developer?
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 the difference between Bank Python vs Bank Data Analyst?
| Aspect | Bank Python | Bank Data Analyst |
|---|---|---|
| Required Credentials | Python programming skills, possibly certifications in data analysis or programming | Degree in finance, economics, or data analysis; certifications like CFA or data analytics certifications |
| Work Environment | Tech-focused teams within banks, working on automation, data processing, and software development | Financial institutions, analyzing data to inform business decisions, reporting, and risk assessment |
| Industry Usage | Used for automating banking processes, developing financial models, and data management | Used 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 job categories do people searching Bank Python jobs in Lake Charles, LA look for?
The top searched job categories for Bank Python jobs in Lake Charles, LA are:
Control Management Specialist - Technology Control Modernization
Iowa, LA • On-site
Jobtailor
Other
Posted 8 days ago
Job description
- Support Technology Controls Modernization initiatives through data analysis, reporting, and visualization activities
- Develop and maintain dashboards, scorecards, and reporting solutions providing insights into technology risks, controls, issues, and key performance indicators
- Assist in designing and implementing risk monitoring and control measurement processes using data-driven methodologies
- Analyze risk and control data to identify trends, emerging risks, control weaknesses, and process improvement opportunities
- Perform data collection, validation, reconciliation, and quality reviews
- Translate complex risk and control data into meaningful visualizations and presentations for technical and non-technical audiences
- Collaborate with technology teams, control managers, and business stakeholders to understand reporting requirements and deliver actionable insights
- Research and evaluate emerging technologies, data sources, and visualization techniques
- Participate in control-related projects and initiatives while building subject matter expertise in Technology Risk and Control Management
- Create documentation, reporting procedures, and analytical methodologies supporting sustainable and repeatable control management practices
- 2+ years of Risk Management or Financial Services industry experience, or equivalent demonstrated through work experience, training, military experience, or education
- 2+ years of Technology / Cybersecurity Risk Management experience
- Experience creating dashboards and visualizations using Power BI, Tableau, Qlik Sense, or similar business intelligence tools
- Knowledge of data analysis and reporting techniques including trend analysis, KPI/KRI development, and performance measurement
- Interest in emerging technologies including data analytics and Generative AI
- Ability to leverage Generative AI to provide efficiencies in processes / analysis with guardrails
- Basic to intermediate experience with SQL, Python, Power Query, or other analytical tools used to transform and analyze data
- Understanding of technology risk management, operational risk management, controls, or audit practices
- Exposure to technology governance, risk and compliance frameworks
- Experience performing data reconciliation, data quality analysis and validation activities
- Strong analytical and problem-solving skills with attention to detail
- Ability to communicate insights through effective visual storytelling and executive-ready presentations
- Experience working with large datasets and translating complex information into actionable recommendations
- Understanding of automation concepts and modern control monitoring practices
- Knowledge of banking, financial services, or regulatory environments
- Relocation assistance is not available
- Visa sponsorship is not available
Demonstrates expertise in Technology Risk and Control Management through data analysis, reporting, and visualization. Proficient in creating actionable insights and dashboards using business intelligence tools while ensuring data quality and compliance with risk management practices.
Highest-signal resume keywords- Technology Risk Management
- Data Analysis and Reporting
- Dashboard Development with Power BI
- SQL and Python Proficiency
- Visual Storytelling and Presentation Skills
- Risk Management
- Data Analysis
- Dashboard Development
- SQL
- Python
- Power Query
- Trend Analysis
- KPI Development
- Data Quality Analysis
- Control Measurement
- Analytical Skills
- Problem-Solving Skills
- Attention to Detail
- Communication Skills
- Financial Services
- Operational Risk Management
- Technology Governance
- Compliance Frameworks
- Banking Regulations
- Power BI
- Tableau
- Qlik Sense
- Generative AI
- Data Visualization Tools