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Bank Python Jobs in Colorado (NOW HIRING)

CGI

Senior Salesforce Developer

Almont, CO · On-site

$125K - $154K/yr

  • Retirement

  • PTO

We partner with 15 of the top 20 banks globally, and our top 10 banking clients have worked with us ... Working knowledge of at least one additional backend language (e.g., Java, Python, Node.js)

HCA HealthOne

Research Project Coordinator

Denver, CO · On-site

$53K - $77K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Familiarity with Statistical Software (SPSS, STATA, R, or Python) * Advanced skills in Microsoft ... banking partnerships, retirement readiness tools, rollover support and financial wellbeing ...

Collabera LLC

Cloud Engineer

Denver, CO · On-site

$75 - $78/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Banking Duration: 12-18 Months Contract Quick Interviews and Offer. About the Role: * Contribute to ... Java & Python/C# (IAM customization) * Directory/Auth: LDAP, Active Directory, MFA * Enterprise ...

Alpine Banks of Colorado

Data Engineer I

Rifle, CO · On-site

$80K - $110K/yr

Specialize on Alpine Bank specific data requirements. * Contributes and documents data policies ... Experience in SQL (TSQL, DB2), Python (pyspark), DAX/MDX expressions. * Experience with Bicep ...

YES Communities

Asset Management Analyst

Denver, CO · On-site

$85K - $95K/yr

  • Medical

  • Life

  • Retirement

Experience: 1-3 years in corporate finance, investment banking, consulting, or private equity ... SQL or Python experience. * Systems: Familiarity with enterprise tools such as Workday Adaptive ...

PNC Bank

Software Engineer Sr (Java)

Arvada, CO · On-site

$86K - $158K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Python Experience Strong debugging and problem-solving skills Knowledge of Agile development practices Understanding of performance, scalability, and reliability _____ Tech Stack (Typical) Backend:

PNC Bank

Data Manager

Arvada, CO

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Governance, SQL, Metadata, Regulatory Data, Python, Data Quality, Lineage, Data Compliance PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve ...

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Showing results 41-60

All JobsBank Python JobsBank Python Jobs in Colorado

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

Senior Data Scientist - Risk & Compliance Domain

R2 Technologies Corporation

Denver, CO • On-site

Full-time

Re-posted 6 days ago

Job description

Overview:
Job Title: Senior Data Scientist - Risk & Compliance Domain (Job ID: 2098)
Location: Remote (but need someone local to - Denver, CO 80237)
Duration: July 15, 2025 - February 27, 2026
Hire Type: Contractor (Contract Only)
Role Responsibilities:
Project Management: Leading and managing end to end data science projects, defining objectives, define requirements, and ensuring timely delivery.
Model Development & Implementation: Developing and validating machine learning and statistical models, implementing predictive models, and optimizing existing ones.
Data Analysis & Insights: Analyzing large datasets, identifying trends and patterns, and extracting actionable insights to inform business decisions.
Collaboration & Communication: Working with cross-functional teams and stakeholders, including engineering, product, and business stakeholders, to translate complex data into actionable strategies.
Mentorship & Guidance: Providing guidance and mentorship to junior data scientists, sharing expertise, and fostering their professional growth.
Staying Updated: Keeping abreast of the latest advancements in data science and AI, exploring new tools and techniques, and identifying opportunities for innovation.
Strategic Input: Contributing to the development of data-driven strategies and providing input on technical approaches for projects.
Role Requirements:
Bachelor's degree in Computer Science, Statistics, Applied Math, or related field (Master's or PhD strongly preferred).
5+ years of industry experience in applied machine learning, with 2+ years focused on deep learning and neural network applications.
Experience in Banking, Payments or Financial Services leading in detecting and preventing digital fraud, scams and social engineering.
Able to quickly understand our current Risk Models with the goal of building a flexible AI solution that partners with our current risk tools to maintains our high standards for Risk Prevention and Compliance while providing flexibility to effectively run our business.
Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
Experience navigating difficult scenarios developing and implementing execution ideas with minimal guidance.
Proficiency in programming languages like Python or R.
Ability to create clear and concise visualizations to communicate complex data.
Ability to create clear and standard data models to communicate with the stakeholders and to capture the semantics of the data and the complex semi-structured content.
Strong analytical and problem-solving skills, with the ability to tackle complex business challenges.
Excellent communication and presentation skills to effectively convey findings to both technical and non-technical audiences.
Experience and willingness to lead and mentor a team, providing guidance and support to junior members
Skills:
Risk & Compliance

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