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Hedge Fund Machine Learning Jobs in Minnesota (NOW HIRING)

SCHWAN'S

Sr Mgr Strategic Sourcing

Hopkins, MN · Hybrid

$191K/yr

Utilize risk management tools to hedge prices for traded commodities as assigned Support development of machine learning and AI models to continuously improve the company's risk management practices.

Schwans

Sr Mgr Strategic Sourcing

Hopkins, MN · On-site

$191K/yr

Utilize risk management tools to hedge prices for traded commodities as assigned Support development of machine learning and AI models to continuously improve the company's risk management practices.

Global Technical Talent

Chronic RN

Minneapolis, MN · On-site

$50 - $52/hr

Assesses, collaborates, and documents patient/family's basic learning needs to provide initial and ... The employee may occasionally be required to move, with assistance, machines and equipment of up to ...

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Hedge Fund Machine Learning information

What is a hedge fund machine learning?

A Hedge Fund Machine Learning job involves applying data science, artificial intelligence, and quantitative modeling techniques to improve trading strategies, risk management, and portfolio optimization. Professionals in this role develop and implement machine learning algorithms to analyze financial data, identify patterns, and generate predictive models for market behavior. They work closely with portfolio managers, traders, and quantitative researchers to enhance decision-making and generate alpha. Strong programming skills, expertise in statistics, and knowledge of financial markets are essential for success in this field.

What are the key skills and qualifications needed to thrive in hedge fund machine learning?

To thrive in a Hedge Fund Machine Learning role, you need a strong background in quantitative analysis, statistics, programming (often in Python or R), and machine learning, typically supported by a degree in mathematics, computer science, or a related field. Proficiency with data analysis libraries (like pandas, NumPy), machine learning frameworks (such as TensorFlow or scikit-learn), and experience with financial data sets or platforms is highly valuable. Effective communication, collaboration, and a strong problem-solving mindset are crucial soft skills in this role. These competencies are essential to designing and implementing robust trading models, navigating complex data, and working efficiently in a fast-paced, team-driven environment.

What are the typical projects or challenges a hedge fund machine learning professional may encounter?

As a Hedge Fund Machine Learning professional, you may work on projects involving the development of predictive models for market movements, portfolio optimization, anomaly detection, or automated trading strategies. Common challenges include sourcing high-quality financial data, managing noisy or incomplete information, and ensuring that models remain robust in dynamic market conditions. Additionally, you will often collaborate with portfolio managers, data engineers, and other quant researchers to translate model insights into actionable investment strategies. Overcoming these challenges requires both technical expertise and adaptability, offering significant opportunities for career growth and impact within the fund.

What are popular job titles related to Hedge Fund Machine Learning jobs in Minnesota?

For Hedge Fund Machine Learning jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Hedge Fund Machine Learning jobs in Minnesota look for?

The top searched job categories for Hedge Fund Machine Learning jobs in Minnesota are:

What cities in Minnesota are hiring for Hedge Fund Machine Learning jobs?

Cities in Minnesota with the most Hedge Fund Machine Learning job openings:

Hedge Fund Machine Learning jobs near you
Infographic showing various Hedge Fund Machine Learning job openings in Minnesota as of August 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 84% In-person, 8% Hybrid, and 8% Remote job distribution.

Senior AI Engineer

Minneapolis, MN • On-site

Ultimus Fund Solutions
Finance and Insurance • 501 - 1,000 employees
Learn more about Ultimus Fund Solutionsexternal

$150 - $200/hr

Other

Posted 16 days ago

Job description

Posted Tuesday, August 4, 2026 at 4:00 AM | Expires Tuesday, August 25, 2026 at 3:59 AM

Position Summary

The Senior AI Engineer will own the end-to-end technical lifecycle of enterprise AI models—from data pipeline architecture to deployment and monitoring. The role will partner with AI Data Scientists and AI Developers to operationalize models, ensure robust data governance, and deliver measurable technical outcomes including improved system scalability and reduced latency. The role requires a hands-on technical leader who can balance complex engineering with practical business application and drive technical alignment across the AI department.

Key Responsibilities
  • Architect and scale machine learning pipelines to support automated workflows across Fund Accounting, Transfer Agency, and Onboarding
  • Oversee the development and deployment of robust AI infrastructure leveraging enterprise data lakes and cloud platforms
  • Lead technical initiatives to integrate AI capabilities into existing legacy systems and financial platforms
  • Establish MLOps best practices and technical KPIs tied to system uptime, model latency, and infrastructure efficiency
  • Mentor junior engineering staff and advise the Managing Director on technical priorities and secure AI governance
Qualifications
  • 7+ years of experience across software engineering, data engineering, or machine learning operations
  • Demonstrated ability to architect scalable data pipelines and deliver measurable technical outcomes
  • Deep expertise in Python, SQL, and enterprise cloud data platforms
  • Ability to work effectively with business operations to translate operational needs into technical architecture
  • Experience in financial services or fund administration preferred but not required
  • Strong technical leadership and mentoring skills
  • Operator mindset with a focus on execution and reliable technical outcomes

Ultimus is an equal opportunity employer and does not discriminate on the basis of the applicant’s or employee’s race, color, religion, national origin, ancestry, gender, sexual orientation, age, disability, veteran or military status, genetic information, citizenship or any other status entitled to protection under federal, state or local anti-discrimination laws. No questions on our employment application are intended to secure information that is to be used for impermissible purposes.

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