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Python Finance Jobs in Minnesota (NOW HIRING)

HealthPartners

Data Engineer Senior

Bloomington, MN · On-site

$115K - $138K/yr

This role supports Care Delivery Finance and plays a key part in delivering a governed, scalable ... SQL, Python, Java, R or Spark * Expert proficiency in SQL; experience with Oracle, PostgreSQL ...

HealthPartners

Data Engineer Senior

Bloomington, MN · On-site

$115K - $138K/yr

This role supports Care Delivery Finance and plays a key part in delivering a governed, scalable ... SQL, Python, Java, R or Spark * Expert proficiency in SQL; experience with Oracle, PostgreSQL ...

BBQ Holdings

Data Quality Analyst

Minnetonka, MN

... finance, franchise operations, supply chain, loyalty, and customer data. This role is ideal for ... Experience with: o PySpark o Python o Databricks Workflows o Unity Catalog o Delta Live Tables o ...

U.S. Bank

Sr Data Warehouse Analyst

Hopkins, MN · On-site

Helping the customers and businesses we serve to make better and smarter financial decisions and ... Strong programming experience with Python for data processing, automation, orchestration, and ...

Inficare Technologies

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

A background in financial services or brokerage is a strong plus. Key Responsibilities * Design ... Python, SQL * Databases: Oracle, SQL Server * ETL/Data Tools: PySpark * Cloud: AWS - S3, Lambda ...

US Bank

Sr Data Warehouse Analyst

Hopkins, MN · On-site

Helping the customers and businesses we serve to make better and smarter financial decisions and ... Strong programming experience with Python for data processing, automation, orchestration, and ...

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All JobsPython Finance JobsPython Finance Jobs in Minnesota

Python Finance information

See Minnesota salary details

$12

$57

$84

How much do python finance jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for python finance in Minnesota is $57.41, according to ZipRecruiter salary data. Most workers in this role earn between $47.31 and $65.19 per hour, depending on experience, location, and employer.

What is a Python Finance professional?

A Python Finance professional is someone who uses the Python programming language to analyze financial data, build financial models, automate trading systems, and perform quantitative analysis. These professionals often work in roles such as quantitative analysts, data scientists, or software developers within finance-related industries. They leverage Python’s powerful libraries like Pandas, NumPy, and scikit-learn to handle large datasets and perform complex financial computations. Their work helps financial institutions make data-driven decisions, improve efficiency, and gain insights into market trends.

How do Python Finance professionals typically collaborate with other departments within a financial organization?

Python Finance professionals often work closely with teams such as data analytics, risk management, trading, and IT. Collaboration usually involves developing or maintaining automated financial models, integrating data pipelines, and supporting real-time analytics. Clear communication is essential, as you may need to translate complex technical concepts into actionable insights for non-technical stakeholders. This cross-functional teamwork not only enhances project outcomes but also provides opportunities to broaden your understanding of the business and financial processes.

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

Success in Python Finance requires strong programming skills in Python, a solid grasp of financial concepts, and often a degree in finance, mathematics, or computer science. Familiarity with technical tools like pandas, NumPy, SQL databases, and financial modeling libraries is typically expected, as well as experience with version control and sometimes certifications like CFA or FRM. Analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These competencies are essential for efficiently analyzing financial data, automating processes, and delivering insights that drive smart financial decision-making.

What is the difference between Python Finance vs Quantitative Analyst?

AspectPython FinanceQuantitative Analyst
Required CredentialsProficiency in Python, finance knowledge, possibly some certificationsAdvanced degrees (e.g., MSc, PhD), quantitative skills, certifications like CFA
Work EnvironmentFinancial firms, tech companies, trading firmsInvestment banks, hedge funds, asset management
Industry UsageData analysis, algorithmic trading, risk modelingModel development, risk assessment, trading strategies

Python Finance professionals focus on coding and data analysis within financial contexts, often requiring programming skills and finance knowledge. Quantitative Analysts typically have advanced degrees and focus on developing complex models for trading and risk management. While both roles work in finance, Python Finance emphasizes programming, whereas Quantitative Analysts emphasize mathematical modeling.

What are popular job titles related to Python Finance jobs in Minnesota?

For Python Finance jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Python Finance jobs in Minnesota look for?

The top searched job categories for Python Finance jobs in Minnesota are:

Python Finance jobs near you
Infographic showing various Python Finance job openings in Minnesota as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, 3% Contract, and 1% Nights. Highlights an 79% Physical, 8% Hybrid, and 13% Remote job distribution, with an average salary of $119,422 per year, or $57.4 per hour.

Cybersecurity Solutions Architect / Engineer

NikSoft Systems Corp.

Eagan, MN • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

Key responsibilities

  • Apply expert-level AI/ML analytic approaches to large volumes of data from disparate sources to uncover cybersecurity threats and fraud schemes.

  • Leverage Databricks to develop analytic solutions using Python, SQL, and R to create, interpret, visualize, and report on complex data to stakeholders.

  • Work across business units to identify, collect, and analyze new data sources, and recommend remediation solutions to improve cybersecurity and reduce fraud.

Job description

Job Location: Raleigh, NC | Washington, DC | 100% Remote
Overview:
NikSoft Systems Corporation is a recognized Information Technology solutions provider. Founded in 1998 and based in Reston, Virginia, NikSoft is a CMMI Level 3 appraised company with an established reputation for excellence and on-time delivery with a consistently high customer satisfaction rating from its Federal Government and private consulting contracts.
NikSoft is currently conducting a search for a Cybersecurity Solutions Architect/Engineer to add to its team in support of the United States Postal Service's Cybersecurity program.
Responsibilities:
In this role, you will apply expert level AI/ML analytic approaches to large volume of data from disparate sources to uncover cybersecurity threats and fraud schemes against the organization. Leverage Databricks to develop analytic solutions using Python, SQL, and R to create, interpret, visualize, and report on complex data to stakeholders at all levels. Respond to ad hoc requests from stakeholders to investigate concerns. Responsible for working across business units to identify, collect, aggregate, analyze new data sources, and advance the team's mission and reduce the time needed to deliver analytical insights. Responsible for highlighting and analyzing gaps in USPS systems and processes, as well as recommending remediation solutions to more effectively deter cybersecurity threats and fraudulent activity.
Qualifications / Required skills:
• Applicant must be an expert with data science and AI/ML concepts used for fraud detection. Demonstrated expertise in AI/ML solution development, data science practice, data strategy and governance, and customer and stakeholder engagement - all developed over many years of client work delivering solutions.
• Ability to design AI-powered solutions, integrating large language models, computer vision, and advanced analytics into secure, high-performing environments
• Ability to direct specialized teams comprising of data scientists, data engineers, and business intelligence specialists driving key AI and advanced technology solutions across secure environments.
• Manages delivery across multiple engagements including business intelligence, technology and tradecraft, financial operations, workforce analytics, cyber, artificial intelligence, risk management, and product development to enhance organizational performance (Python, SQL, Tableau, AWS).
• Advanced skills applying AI/ML tools to accelerate business activities including but not limited to programming and script development.
Expert level knowledge of:
• AI/ML Solution Architecture
• Data Science and Advanced Analytics
• Technology Strategy and Implementation
• Data Strategy and Governance
• MLOps and Model Lifecycle Management
• Azure Databricks
• Python, SQL, R Development
Required Education and Experience Requirements
• Experience: 10+ years of overall cybersecurity architecture and/or engineering experience; 5+ years of experience in the cybersecurity domain related to fraud detection solution development.
• Education: *Bachelor's degree in Computer Science, Cybersecurity, Information Systems, or equivalent practical enterprise experience.
****Candidates must be able to obtain a Postal Sensitive Clearance (US Citizenship or Green Card required). Additionally, candidates must not have traveled outside of the USA for a combined period not to exceed 6 months within the last 3 years.***

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