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Python Finance Jobs in Minnesota (NOW HIRING)

Staff Actuary

Minneapolis, MN · On-site

$107K - $147K/yr

About Our Company We're a diversified financial services leader with more than $1.5 trillion in ... Experience with MS Excel, VBA, Python, and database applications. In-Office Collaboration We are a ...

... financial services, credit card and/or payments industry * A minimum of 7+ years of functional work experience to include: * 5+ years using statistical analysis tools - SAS, SQL are required; Python ...

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

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

Data Engineer: IV (Lead)

Minneapolis, MN · On-site

$119K - $143K/yr

The ideal candidate will have strong experience in SQL, Python, Snowflake, and dbt and a proven ... Domain experience in agriculture, energy, supply chain, logistics, trading, hedging, finance, or ...

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Showing results 1-20

Python Finance information

See Minnesota salary details

$12

$57

$84

How much do python finance jobs pay per hour?

As of Jul 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.

Is Python enough to get a finance job?

Python is a valuable skill for finance jobs such as quantitative analyst, data analyst, or financial engineer, as it is widely used for data analysis, modeling, and automation. However, employers often look for additional skills like finance knowledge, statistical understanding, and experience with tools such as Excel, SQL, or financial modeling. Combining Python with domain expertise and other technical skills increases job prospects in finance roles.

What finance jobs use Python?

Finance jobs that use Python include quantitative analyst, financial analyst, risk manager, and algorithmic trader roles. These positions often require skills in data analysis, modeling, and automation, with Python being used for tasks such as data processing, backtesting strategies, and building financial models.

Is Python a high paying job?

Python roles in finance, such as quantitative analysts or financial software developers, tend to offer high salaries due to the demand for programming skills and financial knowledge. Compensation varies based on experience, location, and industry, but Python expertise is generally associated with well-paying positions in finance and data analysis. Certifications and proficiency with related tools like pandas or NumPy can also enhance earning potential.

Is Python useful in finance?

Python is widely used in finance roles such as quantitative analyst, trader, and financial engineer due to its simplicity and extensive libraries like pandas, NumPy, and scikit-learn. It is commonly employed for data analysis, algorithmic trading, risk management, and financial modeling, making it a valuable skill for finance professionals.

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:
Infographic showing various Python Finance job openings in Minnesota as of June 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $119,422 per year, or $57.4 per hour.
Investment Risk Analyst

$87K - $120K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 16 days ago


Ameriprise rating

7.9

Company rating: 7.9 out of 10

Based on 119 frontline employees who took The Breakroom Quiz

82nd of 146 rated financial services


Job description

About Our Company


Working at Columbia Threadneedle Investments you'll find growth and career opportunities across all of our businesses.

We're intentionally built to help you succeed. Our reach is expansive with a Columbia Threadneedle Investments global team of 2,300 people working together. Our capability is diverse with more than 550 investment professionals sharing global perspectives across all major asset classes and markets. Our clients have access to a broad array of investment strategies, and we have the capability to create bespoke solutions matched to clients' specific requirements. Our unwavering focus on our clients and strong financial foundation connects each of our enterprise businesses - Ameriprise Financial, Columbia Threadneedle Investments and RiverSource Insurance and Annuities.

Job Description

Columbia Threadneedle Investments, the global asset management division of Ameriprise Financial, is seeking an Investment Risk Analyst to be based in Minneapolis, MN or Boston, MA. This role assists senior risk managers to measure, monitor, analyze, and manage investment risk across Columbia Threadneedle's collection of funds. This role will provide you the opportunity to develop and improve your technical skills and the chance to be immersed in the investment organization's culture.

Responsibilities:
Engage with senior risk managers and the investment teams to understand their investment processes and the underlying investment risks.
Review risk reports, communicate findings and raise observations to senior risk managers and business leaders, as needed; research some targeted risk issues as advised.
Research and investigate of ad-hoc risk issues as necessary, interacting with the investment team as needed.
Assist senior team members to analyze portfolio holdings and risk measures in order to measure, monitor, and manage investment risk; assist in the communication of risk analysis to fund managers.
Run processes for gathering fund risk data and generating risk reports for portfolios
Maintain and improve risk data reporting solutions and creation of visualizations/reports to help run the investment risk process.
Monitor the integrity and accuracy of the data in the system, work with Technology and Operations to resolve system and portfolio data issues as necessary.

Required Qualifications:
Degree in a quantitative field such as Finance, Mathematics, Statistics, Computer Science, Engineering, Economics, Mathematics or other relevant area of study. Critical thinking and analysis skills are more important than the area of study.
Programming/coding experience with Python (or similar) and Snowflake/SQL
Knowledge of financial market instruments including options and derivatives
Professional and/or educational experience in risk management, investments, and/or finance. Demonstrated passion for markets is critical.
Excellent analytical capabilities and ability to understand quantitative models
Good general understanding of investment management and financial risk management
Capable of taking initiative on broader IRM goals to improve departmental capabilities
Excellent written and verbal communication skills
Ability to handle several tasks, prioritize effectively, meet goals and deliver high quality, accurate work in a fast-paced environment
Ability to maintain good relationships with business partners

Preferred Qualifications:
While not a requirement, possessing an advanced degree in a quantitative field (economics, mathematics, physical sciences, finance, or statistics) is preferred.
Preference will be given to candidates with Master of Financial Mathematics.
Achievement of, or progress towards professional designations such as CFA (Chartered Financial Analyst), FRM (Financial Risk Manager), or PRM (Professional Risk Manager) are relevant though not required.
Preference will be given to candidates with 2+ years of experience preferably in risk management, investment management, or capital markets.
Experience and familiarity with Blackrock Aladdin or other risk systems and Tableau is relevant but not required.

Visa Sponsorship:

Applicants must have a valid work authorization that does not now, or in the future, require visa sponsorship for employment in the United States (e.g., H-1B, F-1 CPT, F-1 OPT, TN).

In-Office Collaboration:

We are a client-centric, relationship-based business. Working together, in-person, is foundational to how we achieve results. By fostering a culture of face-to-face collaboration, idea sharing, productivity and personal connection, we deliver for our stakeholders - clients, advisors, employees and shareholders. Our employees work in the office at least four (4) days per week, with flexibility to work from home one (1) day per week. Some roles may require additional in-office time or different in-office expectations, and specific requirements will be discussed during the hiring process.

Base Pay Salary

The estimated base salary for this role is $87,400- $120,200 / year. We have a pay-for-performance compensation philosophy. Your initial total compensation may vary based on job-related knowledge, skills, experience, and geographical work location. In addition, most of our roles are eligible for variable pay in the form of bonus, commissions, and/or long-term incentives depending on the role. We also have a competitive and comprehensive benefits program that supports all aspects of your health and well-being, including but not limited to vacation time, sick time, 401(k), and health, dental and life insurances.

Full-Time/Part-Time

Full time

Exempt/Non-Exempt

Non-Exempt

Job Family Group

Business Support & Operations

Line of Business

AMINV US Asset Management

Columbia Threadneedle is a people business, and we recognise that our success is due to our talented people, who bring diversity of thought, complementary skills and capabilities. We are committed to fostering an inclusive and performance-based culture where everyone can belong, grow, contribute and realise their potential.

Columbia Threadneedle is an equal opportunity employer. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, military status, veteran status, genetic information, citizenship, disability status, marital status, family status or any other basis prohibited by law.

We are committed to fostering an inclusive and accessible recruitment process for individuals with disabilities. If you require a reasonable accommodation to participate in the application or interview process, speak to your recruiter to discuss how we can support you.


What Ameriprise employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Ameriprise

Sourced by ZipRecruiter

At Ameriprise Financial, we're not just in the business of helping clients with their financial goals - we also help our advisors and employees reach their true potential by embracing an inclusive and collaborative culture. We celebrate the unique qualities and reward the contributions of our talented, passionate employees. If you're motivated and want to work for a strong, ethical company that cares about you and your community, take the next step with Ameriprise Financial.

Industry

Funds, trusts and financial programs

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

1894

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