1

Financial Analyst Python Freelance Jobs in Denver, CO

Data Analyst

Englewood, CO · On-site

$60K - $80K/yr

... financial data space Develop advanced technical skills in Python programming, SQL database ... Analytical and problem-solving skills with attention to detail and ability to work with large ...

New

Capital Markets Analyst

Englewood, CO · On-site

$75K - $90K/yr

Advanced proficiency in Excel; familiarity with SQL, Python or related programs is a plus. * Solid understanding of financial concepts such as interest rates, credit spreads, and cash flow analysis a ...

Oasis Financial is the largest and most recognized national brand in consumer legal funding. Oasis ... Experience and comfort with Python, SQL and Excel * Comfortable handling sometimes ambiguously ...

Oasis Financial is the largest and most recognized national brand in consumer legal funding. Oasis ... Experience and comfort with Python, SQL and Excel * Comfortable handling sometimes ambiguously ...

Oasis Financial is the largest and most recognized national brand in consumer legal funding. Oasis ... Experience and comfort with Python, SQL and Excel * Comfortable handling sometimes ambiguously ...

Oasis Financial is the largest and most recognized national brand in consumer legal funding. Oasis ... Experience and comfort with Python, SQL and Excel * Comfortable handling sometimes ambiguously ...

Experience with Python, APIs, data integrations, scripting, or automation development ... The IMA Financial Group, Inc. provides equal employment opportunities (EEO) to all employees and ...

Showing results 21-40

Financial Analyst Python Freelance information

See Denver, CO salary details

$39.6K

$90.7K

$121.5K

How much do financial analyst python freelance jobs pay per year?

As of Sep 12, 2026, the average yearly pay for financial analyst python freelance in Denver, CO is $90,690.00, according to ZipRecruiter salary data. Most workers in this role earn between $72,000.00 and $113,700.00 per year, depending on experience, location, and employer.

What does a financial analyst python freelancer do?

A Financial Analyst Python Freelancer combines financial expertise with programming skills in Python to analyze data, build financial models, and automate reporting tasks. They are typically hired on a contract basis to help businesses interpret complex financial information, create custom analysis tools, and improve decision-making processes. Their work can include tasks such as data cleaning, statistical analysis, and developing algorithms for forecasting or risk assessment. Freelancers in this role often work remotely and may serve multiple clients in various industries.

What are the key skills and qualifications needed to thrive as a financial analyst python freelancer?

To excel as a Financial Analyst Python Freelance, you need strong analytical skills, a solid understanding of finance and accounting principles, and proficiency in Python programming, often supported by a relevant degree or certification. Familiarity with data analysis libraries (like Pandas and NumPy), financial modeling tools, and platforms such as Excel or Tableau is typically required. Excellent communication, problem-solving, and time management skills help freelancers effectively manage projects and convey insights to clients. These combined skills enable efficient, accurate financial analysis and deliver actionable recommendations in a competitive freelance environment.

How do financial analyst python freelancers typically collaborate with clients and teams during projects?

As a Financial Analyst Python Freelancer, collaboration often happens through virtual meetings, regular progress updates, and shared documentation platforms. You may work with finance teams, data engineers, and project managers to clarify requirements, align on deliverables, and troubleshoot data or modeling issues. Clear communication is key, as you'll often need to explain your analytical methods and Python code to non-technical stakeholders. Many freelancers also use collaborative tools like Slack, Trello, or GitHub to streamline workflow and version control.

Can I do freelancing jobs as a financial analyst?

Yes, financial analysts can work as freelancers by offering services such as financial modeling, data analysis, and reporting on freelance platforms. Success often depends on skills in Excel, financial software, and certifications like CFA or CPA, along with the ability to manage client projects independently.

Is Python good for financial analysis?

Python is widely used by financial analysts for data analysis, modeling, and automation due to its extensive libraries like pandas, NumPy, and scikit-learn. It enables efficient processing of large datasets and development of quantitative models, making it a valuable skill for freelance financial analysts. Proficiency in Python can enhance analysis accuracy and productivity in financial roles.

What freelance jobs can I do with Python as a financial analyst?

As a financial analyst with Python skills, you can undertake freelance jobs such as developing financial models, automating data analysis, creating dashboards, and building algorithms for trading or risk assessment. These roles often require proficiency in libraries like pandas, NumPy, and visualization tools, and may involve working with large datasets or integrating APIs.

What are the most commonly searched types of Financial Analyst Python jobs in Denver, CO?

The most popular types of Financial Analyst Python jobs in Denver, CO are:

What are popular job titles related to Financial Analyst Python Freelance jobs in Denver, CO?

For Financial Analyst Python Freelance jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Financial Analyst Python Freelance jobs in Denver, CO look for?

The top searched job categories for Financial Analyst Python Freelance jobs in Denver, CO are:

Infographic showing various Financial Analyst Python Freelance job openings in Denver, CO as of September 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $90,690 per year, or $43.6 per hour.

Data Analyst

Englewood, CO • On-site

$60K - $80K/yr

Full-time

Medical, Retirement

Posted 2 days ago

New


S&P Global rating

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

About the Role:

Grade Level (for internal use):

08

The Team:

The Data/Content Management team delivers and maintains accurate, complete, and timely financial datasets while leveraging cutting-edge AI and automation technologies. Our team of technical data analysts works on various research reports and company documents to collect information and generate meaningful insights from data. We support Compustat Fundamentals and other critical business lines, focusing on innovation through AI/LLM tools and advanced analytics to meet our clients' evolving needs.

The Impact:

We provide the highest quality content that is essential for our clients to make decisions with conviction. As a Data Analyst, you will support the integrity and comprehensiveness of datasets by utilizing advanced technical tools including Python, SQL, and AI/LLM technologies to automate data collection, analysis, and standardization processes from various sources including regulatory documents, earnings reports, and market publications.

What's in it for you:

Work with cutting-edge AI and machine learning technologies in the financial data space

Develop advanced technical skills in Python programming, SQL database management, and AI/LLM implementation

Gain comprehensive understanding of global financial markets while building automated solutions

Opportunity to lead process improvement and automation projects that directly impact business efficiency

Collaborate with cross-functional teams on innovative data solutions and emerging technologies

Responsibilities:

  • Design and implement automated data collection workflows using Python and AI/LLM tools to extract, process, and standardize financial data from various sources including regulatory filings, earnings reports, and market documents

  • Develop and maintain SQL queries and database solutions to ensure data integrity, accuracy, and efficient retrieval for Compustat Fundamentals and other financial datasets

  • Leverage large language models and natural language processing techniques to analyze unstructured financial documents, extract key business insights, and automate data classification processes

  • Build and optimize Python-based data pipelines that integrate with existing research tools and databases, reducing manual effort while improving data quality and processing speed

  • Collaborate with cross-functional teams to identify opportunities for AI-driven process improvements and implement technical solutions that enhance research efficiency and accuracy

  • Monitor and troubleshoot automated systems, ensuring consistent performance and implementing enhancements based on evolving business requirements and emerging AI technologies

Compensation/Benefits Information:

S&P Global states that the anticipated base salary range for this position is $60,000 to $80,000. Final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications. In addition to base compensation, this role is eligible for an annual incentive plan. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here.

What We're Looking For:

Basic Required Qualifications:

  • Financial Services experience

  • Understanding of financial statements (Balance Sheet, Income Statement, Cash Flow) and their interrelationships

  • SQL database management systems including query optimization and data modeling techniques

  • Experience with AI/LLM tools and frameworks such as OpenAI APIs, Hugging Face, LangChain, or similar natural language processing technologies

  • Analytical and problem-solving skills with attention to detail and ability to work with large, complex datasets

Additional Preferred Qualifications:

  • Bachelor's or Master's degree in Computer Science, Data Science, Finance, or related technical field or relevant experience.

  • Programming skills in Python with experience in data manipulation libraries such as pandas, numpy, or similar frameworks

  • Experience with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch for data analysis and automation

  • Knowledge of cloud platforms such as AWS, Azure, or Google Cloud for data processing and AI model deployment

  • Familiarity with data visualization tools like Tableau, Power BI, or Python libraries such as matplotlib and seaborn

  • Understanding of US GAAP reporting standards and financial data standardization processes

Right to Work Requirements:

This role is limited to persons with indefinite right to work in the United States.

What's In It For You?

Our Mission:

Advancing Essential Intelligence.

Our People:

We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values:
Integrity, Discovery, Partnership


Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
Benefits:

We take care of you, so you cantake care of business. We care about our people. That's why we provide everything you-and your career-need to thrive at S&P Global.
Our benefits include:

  • Health & Wellness: Health care coverage designed for the mind and body.

  • Flexible Downtime: Generous time off helps keep you energized for your time on.

  • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.

  • Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

  • Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported toreportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, "pre-employment training" or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activityhere.

-----------------------------------------------------------

Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to:EEO.Compliance@spglobal.comand your request will be forwarded to the appropriate person.
US Candidates Only:Know Your Rights: Workplace discrimination is illegal

-----------------------------------------------------------

20 - Professional (EEO-2 Job Categories-United States of America), DTMGOP203 - Entry Professional (EEO Job Group), SWP Priority - Ratings - (Strategic Workforce Planning)

What S&P Global employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom