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Python Finance Jobs in Minnesota (NOW HIRING)

Motion Recruitment

DevSecOps Engineer

Minneapolis, MN · On-site

$55 - $75.50/hr

A well-known Financial Services Company is looking for a Cloud Platform Engineer in Charlotte, NC ... Scripting and automation with Python and REST APIs. * Experience with OpenShift (OCS)

HealthPartners

Data Engineer Senior

Bloomington, MN

$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 ...

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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 Aug 15, 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 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 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.

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 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.

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 95% Full Time, 3% Part Time, and 2% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $119,422 per year, or $57.4 per hour.

Solutions Architect, Financial Services Banking

NVIDIA Gruppe

Virginia, MN • On-site

$140 - $190/hr

Other

Posted 3 days ago

New

Job description

The Financial Services Solutions Architect team is looking for an extraordinary person to join an experienced team of Quants and Data Scientists, engaging the finance industry with compelling examples of full-stack accelerated computing. Solutions Architects work with top minds in Financial Services - Banking, Consumer Finance - to accelerate High-Performance Computing and AI workloads across various use cases. We're seeking an inquisitive, hard-working, and creative individual passionate about helping tackle challenges. Join us in this endeavor!

What You'll Be Doing:

  • Partner with NVIDIA Engineering, Product, and Sales teams to secure design wins at customers. Enable development and growth of NVIDIA product features through customer feedback and proof-of-concept evaluations.

  • Perform proof-of-concepts working side by side with clients, engineers, and other architects on in-depth analysis, profiling and optimization of machine learning/deep learning models to ensure the best performance on current- and next-generation GPU architectures.

  • Work directly with client ML researchers and developers/engineers on business-impacting workflows, projects, and issues to drive success using NVIDIA technology.

  • Facilitate rapid resolution of customer issues and promote the highest levels of customer satisfaction.

  • Build collateral (notebooks/ blogs) applied to Finance industry use-cases such as ML/DL, recommender systems, GNN, monte-carlo simulations, Quantitative Finance, etc. by working closely with customers.

What We Need To See:

  • BS/MS/PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or other Engineering fields (or equivalent experience)

  • 5+ years experience as an ML/Software Engineer with a proven track record in writing code in Python, C++

  • Experience with ML/DL algorithms with frameworks such as TensorFlow, Jax, PyTorch, Spark, Dask

  • Ability to communicate ideas and share code clearly through blog posts, GitHub

  • Enjoy working with multiple levels and teams across organizations (engineering/research, product, sales, and marketing teams)

  • Effective verbal/written communication and technical presentation skills

  • Self-starter with a passion for growth, a real enthusiasm for continuous learning, and sharing findings across the team

Ways To Stand Out From The Crowd:

  • Experience building and deploying Banking and Payments modeling techniques, such as: Time-series, Transformers, GraphNNs, XGBoost, Recommender Systems, etc

  • Familiarity with NLP Generative and Agentic AI models, frameworks, and applications

  • Skilled in deploying ML/DL models at scale on on-prem or public cloud computing clusters in production

  • Development experience with NVIDIA software libraries and GPUs

  • Knowledge of MLOps technologies such as Docker/containers, Kubernetes, data center deployments etc. Experience working with enterprise developers building AI, HPC, or data analytics applications

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

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