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Ai Quant Jobs in Wisconsin (NOW HIRING)

Cloudera

Lead the monthly business review (MBR) process-from metric gathering and CRM ingestion through deep quantitative analysis and executive synthesis for senior leadership. * Manage the AI Adoption ...

Cloudera

Lead the monthly business review (MBR) process-from metric gathering and CRM ingestion through deep quantitative analysis and executive synthesis for senior leadership. * Manage the AI Adoption ...

Cloudera

Lead the monthly business review (MBR) process-from metric gathering and CRM ingestion through deep quantitative analysis and executive synthesis for senior leadership. * Manage the AI Adoption ...

Jobtailor

WI · On-site

$200 - $320/hr

Lead qualitative and quantitative studies to develop insights for C-level clients * Improve ... AI experience in P&C insurance or government is a plus * Bachelor's degree in a related field or an ...

New

Johnson Controls

Ai Engineer

Milwaukee, WI · On-site

As an AI Engineer, you will independently own the end-to-end delivery of defined AI projects-from ... quantitative discipline. * 2-5 years of experience in software, data, ML engineering, or data ...

Johnson Controls, Inc.

Ai Engineer

Milwaukee, WI · On-site

As an AI Engineer, you will independently own the end-to-end delivery of defined AI projects-from ... quantitative discipline. * 2-5 years of experience in software, data, ML engineering, or data ...

Johnson Controls

Ai Engineer

Milwaukee, WI · On-site

As an AI Engineer, you will independently own the end-to-end delivery of defined AI projects-from ... quantitative discipline. * 2-5 years of experience in software, data, ML engineering, or data ...

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Ai Quant information

What is an AI quant?

An AI Quant, or Artificial Intelligence Quantitative Analyst, is a professional who combines expertise in quantitative finance and machine learning to develop advanced trading strategies, risk models, or analytics tools. AI Quants use algorithms, statistical models, and large datasets to identify patterns, forecast market trends, and make data-driven investment decisions. They often work in hedge funds, investment banks, or proprietary trading firms, collaborating with software engineers and other quants to implement and optimize AI-driven financial models.

How does an AI quant typically collaborate with data scientists, traders, and software engineers within a financial institution?

AI Quants often work closely with data scientists to develop and refine machine learning models using financial data, ensuring models are statistically robust and actionable. They collaborate with traders to translate complex quantitative signals into trading strategies that are practical and aligned with market objectives. Additionally, AI Quants partner with software engineers to implement and optimize these models for real-time deployment, ensuring that the underlying code is scalable, efficient, and reliable. This cross-functional environment requires strong communication skills and adaptability, as priorities can shift with market movements and technological advancements.

What are the key skills and qualifications needed to thrive as an AI quant, and why are they important?

To thrive as an AI Quant, you need a strong background in quantitative analysis, mathematics, statistics, and machine learning, often supported by an advanced degree in a quantitative field. Proficiency in programming languages like Python or C++, experience with data analysis libraries (such as NumPy, pandas, and TensorFlow), and familiarity with financial modeling tools are typically required. Strong problem-solving skills, attention to detail, and effective communication set top performers apart in this role. These skills are crucial for developing robust AI-driven trading strategies and ensuring accurate, data-driven decision-making in the fast-paced financial sector.

What is the difference between Ai Quant vs Data Scientist?

AspectAi QuantData Scientist
Required CredentialsAdvanced degrees in quantitative fields, certifications in machine learning or AIDegrees in computer science, statistics, or related fields; certifications vary
Work EnvironmentFinancial firms, hedge funds, or trading firms focusing on quantitative analysisTech companies, research labs, or any industry leveraging data analysis
Employer & Industry UsagePrimarily finance and trading industriesBroad across tech, healthcare, retail, and more
Common Search & Comparison IntentUnderstanding specialized quantitative roles in financeExploring data analysis careers across industries

Ai Quants focus on developing algorithms and models for financial markets, often requiring advanced quantitative skills and finance-specific knowledge. Data Scientists have a broader scope, applying statistical and machine learning techniques across various industries. While both roles involve data analysis and programming, Ai Quants are specialized in finance, whereas Data Scientists work in diverse sectors.

What are popular job titles related to Ai Quant jobs in Wisconsin?

For Ai Quant jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Ai Quant jobs in Wisconsin look for?

The top searched job categories for Ai Quant jobs in Wisconsin are:

What cities in Wisconsin are hiring for Ai Quant jobs?

Cities in Wisconsin with the most Ai Quant job openings:

Ai Quant jobs near you

AI Training Specialist - Chemistry

micro1 AI

Green Bay, WI • Remote

$70 - $90/hr

Part-time

Posted 18 days ago

Job description

Role Title: Chemistry Specialist


Role Type: Contractor


Location: Remote


micro1 is engaging Chemistry Specialists to participate in a project supporting a leading customer in the scientific and research domain. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Conduct qualitative and quantitative chemical analyses and experiments to support product development, quality control, or process optimization.
  2. Design and interpret complex laboratory experiments involving chemical reactions, synthesis, and separation techniques.
  3. Document laboratory methodologies, data, and findings clearly and accurately, ensuring reproducibility and scientific integrity.
  4. Critically evaluate experimental outcomes to propose improvements or new investigative approaches.
  5. Collaborate and communicate effectively in written and verbal formats with project stakeholders, providing insights and recommendations.
  6. Translate intricate chemistry concepts and experimental results into clear, actionable information for non-specialist audiences.
  7. Contribute domain-specific expertise to enhance the training datasets and reasoning capabilities of AI systems.


Preferred Qualifications

  1. Advanced degree (PhD preferred) in Chemistry or closely related field.
  2. Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.
  3. Deep understanding of chemical reactions, analytical chemistry, and laboratory best practices.
  4. Demonstrated critical thinking skills and a record of innovative problem-solving in research or applied chemistry settings.
  5. Strong written and verbal communication skills, with the ability to convey technical concepts clearly.
  6. Experience contributing to interdisciplinary projects or cross-functional collaborations.
  7. Familiarity with quality control protocols, safety standards, and regulatory guidelines is a plus.

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