ZipRecruiter

Log In

1

Quantitative Finance Professor Jobs (NOW HIRING)

University of Nevada, Las Vegas (UNLV)

Lee Assistant/Associate Professor of Insurance & Risk Management, Lee Business School [R0152913 ... in Quantitative Finance. The MBA program has ranked in the top 100 part-time MBA programs for the ...

Rutgers University

$200 - $250/hr

Assistant / Associate Professor Position in Finance Recruitment/Posting Title Assistant / Associate ... Master of Quantitative Finance, and the Ph.D. in Finance concentration within the Ph.D. in ...

next page

Showing results 1-20

All JobsQuantitative Finance Professor Jobs

Quantitative Finance Professor information

What is a quantitative finance professor?

Quantitative Finance Professors are academic professionals who teach and conduct research in the field of quantitative finance, which involves applying mathematical models, statistics, and computational techniques to financial markets and instruments. They typically work at universities or business schools, educating students on topics such as risk management, derivative pricing, and portfolio theory. In addition to teaching, they often publish research, supervise graduate students, and may collaborate with industry partners. Their expertise is crucial for advancing financial theories and preparing students for careers in finance, banking, and academia.

What are the key skills and qualifications needed to thrive as a quantitative finance professor?

A Quantitative Finance Professor should possess deep knowledge of financial theory, mathematics, statistics, and econometrics, typically with a Ph.D. in finance, mathematics, or a related field. Familiarity with programming languages (such as Python, R, or MATLAB), financial modeling tools, and academic publishing platforms is essential. Exceptional communication, mentorship, and research collaboration skills help build strong relationships with students and colleagues. These competencies are crucial for advancing research, effectively teaching complex concepts, and fostering academic excellence in quantitative finance.

What are some common challenges faced by quantitative finance professors in balancing research, teaching, and industry collaboration?

Quantitative Finance Professors often juggle multiple responsibilities, including developing and delivering complex course material, advancing original research, and engaging in industry collaborations. Balancing these demands can be challenging, especially as research and publication expectations are high, and industry partnerships often require additional time and effort. Effective time management and clear communication with both academic and industry stakeholders are essential to succeed in this multifaceted role. Professors who build strong networks and prioritize their commitments typically find greater satisfaction and impact in their careers.

What is the difference between Quantitative Finance Professor vs Quantitative Analyst?

AspectQuantitative Finance ProfessorQuantitative Analyst
Required CredentialsPhD in Finance, Mathematics, or related fieldBachelor's or Master's degree in Finance, Mathematics, or related field; often requires certifications like CFA
Work EnvironmentAcademic institutions, research centers, universitiesFinancial firms, investment banks, hedge funds, asset management companies
Employer & Industry UsagePrimarily academia and research institutionsFinancial industry, focused on trading, risk management, and investment strategies
Common Search & Comparison IntentUnderstanding academic roles, research focus, teaching responsibilitiesPractical application in finance, trading strategies, data analysis

The main difference between a Quantitative Finance Professor and a Quantitative Analyst lies in their work environment and focus. Professors primarily work in academia, focusing on research and teaching, while Quantitative Analysts work in the financial industry, applying quantitative methods to real-world trading and investment decisions.

What are popular job titles related to Quantitative Finance Professor jobs?

For Quantitative Finance Professor jobs, the most frequently searched job titles are:

Infographic showing various Quantitative Finance Professor job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 93% Full Time, 4% Part Time, and 2% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution.

Assistant Professor of Practice

Milwaukee, WI • On-site

Jacobs Levy Equity Management
11 - 50 employees
Learn more about Jacobs Levy Equity Managementexternal

Other

Posted 24 days ago

Job description

Marquette University’s Department of Finance invites applications for a full-time, non-tenure track Assistant Professor of Practice. This position supports the College of Business Administration’s newly launched AI in Business major and contributes to the Finance Department’s growing emphasis on the intersection of artificial intelligence, data-driven decision-making, and financial practice. The successful candidate will be an innovative educator with applied expertise in AI and finance, committed to preparing students for careers in a rapidly evolving industry.

The candidate will teach courses in AI in Finance and related areas, with a standard load of 24 credit hours per academic year. A reduced load of 18 credit hours per year may be considered for candidates who hold a Ph.D. or terminal degree and maintain an active research agenda. Responsibilities include:

  • Teach undergraduate and/or graduate courses in AI in Finance, fintech, data analytics for finance, and related subjects;
  • Develop and update course materials to reflect current tools, industry practices, and emerging applications of AI in financial services;
  • Contribute to the College’s AI in Business major through curriculum design, cross-departmental collaboration, and advising;
  • Mentor and advise students on academic and career development;
  • Participate in departmental, college, and university service, including committee work, program assessment, and shared governance;
  • Pursue scholarly or applied research in AI and finance (a Ph.D. or terminal degree plus an active research agenda is required for 18-credit load consideration).

Required Knowledge, Skills, and Abilities

  1. Master’s degree in Finance, Financial Engineering, Data Science, or a closely related field from an AACSB-accredited institution.
  2. Demonstrated experience applying artificial intelligence or machine learning tools in a finance or business context.
  3. Evidence of effective college-level teaching or strong potential for teaching excellence.
  4. Strong communication skills and a demonstrated commitment to student engagement and learning.

Preferred Knowledge, Skills, and Abilities

  1. Ph.D. in Finance, Financial Economics, Data Science, or a related field; strongly preferred.
  2. Or industry experience in fintech, quantitative finance, algorithmic trading, or AI-driven financial applications.
  3. Experience developing or teaching courses that integrate Python, machine learning, or artificial intelligence tools into a finance curriculum.
  4. Familiarity with undergraduate or graduate AI in Business program design.
  5. Active research agenda in artificial intelligence, fintech, or quantitative finance.
  6. Relevant professional or technical certifications, such as the CFA designation or certifications in Python for Data Science or Machine Learning.
#J-18808-Ljbffr

Apply