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Bank Python Jobs in Colorado (NOW HIRING)

BillGO, Inc.

AI Data Scientist

Fort Collins, CO

... banking, or payments. • Expertise in Python, machine learning frameworks (scikit-learn, TensorFlow, PyTorch), and data pipelines. • Strong background in supervised/unsupervised learning, anomaly ...

BillGO, Inc.

AI Data Scientist

Fort Collins, CO · On-site

$102K - $146K/yr

... banking, or payments. • Expertise in Python, machine learning frameworks (scikit-learn, TensorFlow, PyTorch), and data pipelines. • Strong background in supervised/unsupervised learning, anomaly ...

Cornerstone Capital Bank

Data Warehouse Developer

Englewood, CO · On-site

$95/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Who we are: Cornerstone Servicing, a division of Cornerstone Capital Bank, is a best-in-class ... Python for Azure Functions, data processing, and pipeline automation * Experience with Snowflake ...

Eliassen Group

Sr Software Engineer

Greenwood Village, CO · On-site

$68 - $77/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Proficiency in Python and TypeScript. * Strong knowledge of RESTful API development and ... Eliassen Group will never ask you for personal information (home address, bank account, or check ...

Eliassen Group

Sr Software Engineer

Greenwood Village, CO · On-site

$68 - $77/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Proficiency in Python and TypeScript. * Strong knowledge of RESTful API development and ... address, bank account, or check routing number) until you have worked with someone clearly ...

U.S. Bancorp

Lead Threat Hunter

Englewood, CO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bank is looking for an experienced Lead Threat Hunter to join our existing security incident ... Hunting with Jupyter notebooks, Python, automation and APIs. * Expertise hunting with security ...

Thaloz

CO - Sr. Data Scientist - 229

Denver, CO · On-site

Strong proficiency in Python and SQL and comfort working with production data workflows ... Experience working with messy third-party data sources (banking data, eCommerce platforms ...

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Bank Python information

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 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.

What are popular job titles related to Bank Python jobs in Colorado?

For Bank Python jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Bank Python jobs in Colorado look for?

The top searched job categories for Bank Python jobs in Colorado are:

What cities in Colorado are hiring for Bank Python jobs?

Cities in Colorado with the most Bank Python job openings:

Bank Python jobs near you

AI Data Scientist

BillGO, Inc.

Fort Collins, CO

Full-time

Re-posted yesterday

Job description

About the Role

We’re looking for a Data Scientist with deep AI and machine learning expertise to help shape the future of data-driven innovation in fintech. You’ll work on developing intelligent systems that power risk modeling, fraud prevention, customer insights and targeting, and payment optimization. Your models will have a direct impact on financial decisions, operational efficiency, and customer trust across our products.

Key Responsibilities
  • AI-Driven Insights: Develop and deploy advanced machine learning models to optimize customer targeting, payment monitoring and growth and operational efficiency opportunities.
  • Predictive Modeling: Build forecasting models to improve transaction accuracy, detect anomalies, and assess financial risk.
  • Data Engineering & Feature Design: Clean, transform, and model large, high-velocity financial datasets with attention to data integrity and compliance.
  • AI Product Integration: Collaborate with Product to integrate AI solutions into production systems for real-time financial decisioning.
  • Experimentation: Lead A/B tests and model performance evaluations to validate model effectiveness and regulatory compliance.
  • Communication: Translate technical findings into actionable insights for business leaders and compliance teams.
  • Research & Innovation: Stay on top of advancements in generative AI, LLMs, and financial AI applications to guide innovation strategy.

Required Qualifications
•    Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or related field.
•    3+ years of experience in a data science or AI-focused role within fintech, banking, or payments.
•    Expertise in Python, machine learning frameworks (scikit-learn, TensorFlow, PyTorch), and data pipelines.
•    Strong background in supervised/unsupervised learning, anomaly detection, NLP, and generative AI.
•    Familiarity with financial data structures, regulatory standards (e.g., PCI-DSS, GDPR), and model governance.
•    Experience with cloud platforms such as Snowflake for ML deployment.
Preferred Qualifications
•    Experience in fraud analytics, risk scoring, or payment decision models.
•    Understanding of MLOps and continuous model monitoring in regulated environments.
•    Familiarity with financial transaction data, open banking APIs, or real-time payments systems.
•    Experience developing LLM-powered assistants or AI copilots for financial operations or support.
•    Strong data storytelling and visualization skills (Tableau preferred).

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