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Phd Quant Jobs in Michigan (NOW HIRING)

Bosch Group

3D-CFD Simulation Intern

Farmington, MI

$14.75 - $19.75/hr

Mixture preparation process in the engine, resulting in a quantitative assessment of fuel wall film ... Doctoral (PhD) student in Mechanical Engineering, Aerospace engineering or similar discipline

Bosch Group

3D-CFD Simulation Intern

Farmington Hills, MI · On-site

$14.75 - $19.75/hr

Mixture preparation process in the engine, resulting in a quantitative assessment of fuel wall film ... Doctoral (PhD) student in Mechanical Engineering, Aerospace engineering or similar discipline

Bosch Group

3D-CFD Simulation Intern

Farmington Hills, MI · On-site

$14.75 - $19.75/hr

Mixture preparation process in the engine, resulting in a quantitative assessment of fuel wall film ... Doctoral (PhD) student in Mechanical Engineering, Aerospace engineering or similar discipline

Corporate Services

Lead Data Scientist

Detroit, MI

Master's degree or PhD degree is preferred. * Five plus (5+) years of professional work experience ... Two plus (2+) years of experience involving quantitative data analyses for problem solving in US ...

University of Michigan

RESEARCH FELLOW

Ann Arbor, MI · On-site

Quantitative LC-MS analysis of compounds in biological matrix of preclinical samples. * Lead ... PhD degree in analytical chemistry, chemistry, pharmaceutical sciences, pharmacology and related ...

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Phd Quant information

See Michigan salary details

$85.4K

$147.9K

$226.2K

How much do phd quant jobs pay per year?

As of Aug 6, 2026, the average yearly pay for phd quant in Michigan is $147,935.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,200.00 and $173,400.00 per year, depending on experience, location, and employer.

What is a PhD Quant?

A PhD Quant, short for Quantitative Analyst with a PhD, is a professional who uses advanced mathematical, statistical, and computational techniques to analyze financial markets and develop complex models for trading, risk management, or investment strategies. They typically work in banks, hedge funds, or financial technology firms. PhD Quants leverage their deep expertise in fields like mathematics, physics, computer science, or engineering to solve challenging problems and gain insights that drive financial decision-making. Their work often involves programming, data analysis, and the implementation of quantitative models.

What are the typical collaboration dynamics for a PhD Quant within a financial institution?

PhD Quants frequently work in close collaboration with traders, risk managers, and software engineers to develop and implement quantitative models for pricing, risk assessment, and trading strategies. While a significant portion of the work involves independent research and model development, regular meetings and cross-functional teamwork are essential to ensure models align with business objectives and regulatory requirements. Effective communication skills are important, as PhD Quants often need to explain complex mathematical concepts to colleagues with varying technical backgrounds.

What are the key skills and qualifications needed to thrive as a PhD Quant?

To thrive as a PhD Quant, you need a strong background in mathematics, statistics, and programming, typically supported by a PhD in a quantitative field such as mathematics, physics, finance, or engineering. Expertise in technical tools such as Python, C++, R, and experience with statistical modeling systems and quantitative finance libraries is expected. Analytical thinking, problem-solving abilities, and effective communication are standout soft skills in this role. These skills and qualities are crucial for developing complex models, interpreting data accurately, and collaborating across multidisciplinary teams in high-stakes financial environments.

Do quant firms hire PhDs?

Quant firms frequently hire PhDs, especially in fields like mathematics, physics, engineering, and computer science, to develop and implement quantitative trading strategies. These roles often require strong analytical skills, programming proficiency in languages such as Python or C++, and a deep understanding of financial models. PhDs are valued for their research experience and ability to handle complex data analysis in a fast-paced environment.

How much do PhD quants make?

PhD quants typically earn between $150,000 and $300,000 annually, with compensation increasing based on experience, location, and the complexity of models used. Many also receive bonuses and profit-sharing, especially in hedge funds and investment banks. Advanced quantitative skills in programming and statistical analysis are highly valued in this field.

What is the difference between Phd Quant vs Quant Analyst?

AspectPhd QuantQuant Analyst
Required CredentialsPhD in Mathematics, Statistics, or related fieldBachelor's or Master's degree, often with quantitative skills
Work EnvironmentResearch-focused, often in finance or hedge fundsTrading floors, financial institutions, or asset management firms
Industry UsagePrimarily in hedge funds, investment banks, and proprietary tradingIn asset management, hedge funds, and banks

The main difference between a Phd Quant and a Quant Analyst lies in their educational background and focus. Phd Quants typically hold doctoral degrees and focus on developing complex models and research, while Quant Analysts often have master's or bachelor's degrees and focus on applying models to trading strategies. Both roles are integral to quantitative finance but differ in scope and depth of research.

What are popular job titles related to Phd Quant jobs in Michigan? For Phd Quant jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Phd Quant jobs in Michigan look for? The top searched job categories for Phd Quant jobs in Michigan are:
What cities in Michigan are hiring for Phd Quant jobs? Cities in Michigan with the most Phd Quant job openings:
Phd Quant jobs near you
Infographic showing various Phd Quant job openings in Michigan as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $147,935 per year, or $71.1 per hour.

Product Development Chemist - AI Trainer - Remote

micro1 AI

Grand Rapids, MI • Remote

$70 - $90/hr

Part-time

Posted 7 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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