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Python For Finance Jobs in Denver, CO (NOW HIRING)

EchoStar

Lead Financial Analyst

Littleton, CO · On-site

$96K - $137K/yr

Bachelor's Degree in Finance, Accounting, or a related field * Minimum Experience: 8 years of ... SQL and Python for cloud usage and data analysis * FinOps principles and standards (FinOps ...

EchoStar

Lead Financial Analyst

Littleton, CO

$96K - $137K/yr

Bachelor's Degree in Finance, Accounting, or a related field * Minimum Experience: 8 years of ... SQL and Python for cloud usage and data analysis * FinOps principles and standards (FinOps ...

Walmart

(USA) Senior, Data Analyst

Denver, CO · On-site

$88K - $171K/yr

Working knowledge of Python for analysis, automation, or data preparation. * Experience building ... Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off ...

Forge Global

Senior Software Engineer I

Denver, CO · On-site +1

$189K - $200K/yr

Experience in other scripting languages like Python for data tasks. * Experience with front-end ... Experience working in Private Markets or Financial Services space specifically with financial ...

Pwc

Finance Data and AI Senior Associate

Denver, CO · On-site

$77K - $202K/yr

... Python - Applying predictive analytics to finance use cases - Collaborating with cross-functional teams for quality outcomes - Developing executive-level deliverables and implementation roadmaps ...

Zayo

Data Analytics Engineer

Denver, CO · Remote

$77K - $118K/yr

Zayo serves wireless and wireline carriers, media, tech, content, finance, healthcare and other ... Write and optimize SQL and Python code for advanced data manipulation, automation, and validation.

Prologis

Essentials Finance Associate

Denver, CO · On-site

$107K - $131K/yr

This role is ideal for someone with a strong analytical mindset, attention to detail, and a passion ... Experience with AI and coding (e.g., ChatGPT, Python, SQL) is a plus. * Demonstrates willingness ...

Prologis, Inc.

Essentials Finance Associate

Denver, CO · On-site

$107K - $131K/yr

This role is ideal for someone with a strong analytical mindset, attention to detail, and a passion ... Experience with AI and coding (e.g., ChatGPT, Python, SQL) is a plus. * Demonstrates willingness ...

Peak Energy

Project Finance Manager

Broomfield, CO

$140K - $200K/yr

Project Finance Manager Location : Broomfield, CO Department : Commercial Reports to: Chief ... Advanced Excel modeling skills; comfort with Python or similar for scenario automation and data ...

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Python For Finance information

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How much do python for finance jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for python for finance in Denver, CO is $60.34, according to ZipRecruiter salary data. Most workers in this role earn between $49.71 and $68.56 per hour, depending on experience, location, and employer.

What is the difference between Python For Finance vs Quantitative Analyst?

AspectPython For FinanceQuantitative Analyst
Required CredentialsPython skills, finance knowledge, possibly finance-related certificationsAdvanced degrees (e.g., MSc, PhD) in finance, mathematics, or related fields; certifications like CFA
Work EnvironmentFinancial firms, trading desks, investment banks, hedge fundsFinancial institutions, hedge funds, asset management firms, consulting
Employer & Industry UsageUsed for developing trading algorithms, risk modeling, data analysisDevelops quantitative models, risk assessments, trading strategies

Python For Finance focuses on using Python programming to analyze financial data and develop models, often as a technical skill. Quantitative Analysts, however, apply advanced mathematical and statistical techniques to create complex financial models. While both roles require strong analytical skills, Quantitative Analysts typically have higher-level degrees and certifications, and their work involves more theoretical modeling. Python For Finance is often a skill within a Quantitative Analyst's toolkit, but the roles differ in scope and depth.

How does a Python for Finance professional typically collaborate with other departments within a financial organization?

Python for Finance professionals frequently work alongside departments such as data analytics, risk management, and portfolio management. They often translate complex financial models into scalable code, automate data processes, and support decision-making by providing actionable insights through data analysis. Effective communication and collaboration are essential, as these professionals must understand the specific needs of stakeholders and ensure that technical solutions align with business objectives. Regular meetings, code reviews, and cross-functional project teams are common structures within the work environment.

What is Python for Finance?

Python for Finance refers to the use of the Python programming language for financial analysis, modeling, trading, and data visualization. Financial professionals use Python to automate data processing, analyze large financial datasets, build quantitative models, and develop trading algorithms. Its vast ecosystem of libraries such as Pandas, NumPy, and Matplotlib makes Python a popular choice in the finance industry for tasks ranging from risk management to portfolio optimization.

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

To thrive as a Python Developer in Finance, you need strong programming skills in Python, a solid understanding of financial concepts, and often a degree in computer science, finance, or a related field. Familiarity with financial libraries (such as pandas, NumPy, and QuantLib), databases, and version control systems is typically required, and certifications in data science or finance can be advantageous. Analytical thinking, attention to detail, and effective communication are vital soft skills for interpreting financial data and collaborating with cross-functional teams. These skills are essential to develop robust financial solutions, ensure data accuracy, and drive informed decision-making in a highly regulated and data-driven industry.
Python For Finance jobs near you
Finance Analytics & AI Senior Consultant

Finance Analytics & AI Senior Consultant

Deloitte

Denver, CO • On-site

$119K/yr

Full-time

Posted 5 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Job Summary:
Deloitte helps navigate complexity in finance and global business services by providing integrated solutions and deep industry insights. As a Finance Analytics & AI Senior Consultant, you'll support the design and delivery of finance transformation solutions that leverage data, automation, and AI capabilities.
Responsibilities:
• Support the design and delivery of finance transformation solutions that use data, automation, machine learning, and generative and agentic AI capabilities
• Architect generative and agentic AI solutions across infrastructure, model, and application layers for finance use cases such as planning, budgeting, forecasting, profitability, close, and consolidations
• Analyze business, functional, and technical requirements and translate them into solution designs, workflows, and implementation plans
• Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL), and cloud-based platforms
• Contribute to client workshops, solution demos, testing, deployment activities, and stakeholder communications
• Identify delivery risks, track dependencies, and support project execution across cross-functional teams
Qualifications:
Required:
• 4+ years of experience delivering analytics, machine learning, automation, data, or generative and agentic AI solutions
• Experience using Python and Structured Query Language (SQL) to develop analytics, machine learning, data engineering, or automation solutions in Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure environments
• Experience architecting generative and agentic AI solutions across infrastructure, model, and application layers, including one or more of the following infrastructure platforms: NVIDIA, Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure; one or more of the following model platforms: GPT-4o, Claude, or Llama; and one or more of the following application platforms: ChatGPT, Claude, or Gemini
• Experience working with finance data and use cases related to planning, budgeting, forecasting, close, profitability, or cost allocations
• Bachelor's degree in Computer Science, Data Science, Information Systems, Finance, Accounting, Engineering, Mathematics, or Statistics
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
Preferred:
• Master's degree in Computer Science, Data Science, Analytics, Finance, Mathematics, or Statistics
• Experience deploying machine learning or generative and agentic AI solutions into production environments
• Experience with Databricks, Apache Spark, Snowflake, TensorFlow, PyTorch, or scikit-learn
• Experience with finance platforms such as SAP, Oracle, Anaplan, OneStream, or Workday
• Experience with Tableau or Microsoft Power BI
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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