Texas Tech University, Mathematics and Statistics

Position ID:
TTU-AP2 [#28861, 46007BR]
Position Title:
Assistant Professor in Mathematical Finance
Position Type:
Tenured/Tenure-track faculty
Position Location:
Lubbock, Texas 79409-1042, United States of America
Subject Area:
Mathematical Finance
Appl Deadline:
2026/12/15 23:59:59 (posted 2026/09/08, listed until 2026/12/15)
Position Description:
   

Position Description

The Department of Mathematics and Statistics in the College of Arts and Sciences at Texas Tech University invites applications for a full-time, 9-month, tenure-track Assistant Professor in Mathematical Finance to begin September 1, 2027. 

All prospective employees are encouraged to visit Work at Texas Tech to learn more about becoming a part of our campus community.

About the Department:
The Department of Mathematics and Statistics at Texas Tech is one of the largest departments on campus. It includes 43 tenured and tenure-track faculty lines, 6-8 postdoctoral scholars each year, and an annual average of 15 lecturers and instructors. As of Fall 2026, the Department enrolled 216 undergraduate majors and 117 graduate students, with 105 supported full-time as graduate part-time instructors, teaching assistants, or research assistants. Our faculty, postdocs, and graduate students engage in active research across a wide range of areas in mathematics and statistics. The Department is committed to sustaining a strong research profile while providing high-quality education. We are dedicated to our students’ success and to advancing research that benefits our field and the broader community.

About the University:
Established in 1923, Texas Tech University is a Carnegie R1 (very high research activity) Doctoral/Research-Extensive, Hispanic Serving, and state-assisted institution. Located on a beautiful 1,850-acre campus in Lubbock, a city in West Texas with a growing metropolitan-area population of over 300,000, the university enrolls over 40,000 students with 33,000 undergraduate and 7,000 graduate students. As the primary research institution in the western two-thirds of the state, Texas Tech University is home to 10 colleges, the Schools of Law and Veterinary Medicine, and the Graduate School.  The flagship of the Texas Tech University System, Texas Tech is dedicated to student success by preparing learners to be ethical leaders for a diverse and globally competitive workforce. It is committed to enhancing the cultural and economic development of the state, nation, and world.
Referred to as the “Hub City” because it serves as the educational, cultural, economic, and health care hub of the South Plains region, Lubbock boasts a diverse population and a strong connection to community, history, and land. With a mild climate, highly rated public schools, and a low cost of living, Lubbock is a family-friendly community that is ranked as one of the best places to live in Texas. Lubbock is home to a celebrated and ever-evolving music scene, a vibrant arts community, and is within driving distance of Dallas, Austin, Santa Fe, and other major metropolitan cities. Lubbock’s Convention & Visitors Bureau provides a comprehensive overview of the Lubbock community and its resources, programs, events, and histories.

About the College:
Founded in 1925 as one of the university's four original colleges, the College of Arts & Sciences comprises 15 departments and offers a wide variety of courses and programs in the humanities, social and behavioral sciences, mathematics, physical sciences, and natural sciences. The College enrolls more than 10,000 students, representing more than one-quarter of the overall Texas Tech University student population, while maintaining a 22:1 student-to-faculty ratio.

Major/Essential Functions:
In line with TTU’s strategic priorities to engage and empower a dynamic student body, enable innovative research and creative activities, and transform lives and communities through outreach and engaged scholarship, applicants should have experience working with a breadth of student populations at the undergraduate and/or graduate levels within individual or across the areas of teaching, research/creative activity, and service. 

As a faculty member in the Department of Mathematics & Statistics, you will be expected to: 
  • Establish an internationally visible and independent research program;
  • Teach undergraduate and graduate courses in mathematical finance and related areas;
  •  Advise and supervise graduate students;
  • Pursue external research funding;
  •  Engage in interdisciplinary collaboration; and
  • Contribute to departmental, college, university, and professional service.

The search is broadly defined within mathematical finance and includes dynamic asset pricing, portfolio optimization, derivatives, financial econometrics, Lévy processes, heavy tails, stochastic and rough volatility, market microstructure, systemic risk, financial networks, artificial intelligence and machine learning in finance, foundation models, reinforcement learning, explainable AI, autonomous financial decision systems, climate finance, ESG, digital assets, decentralized finance, ambiguity-aware finance, and robust optimization.

Required Qualifications:

Applicants must:
  1. Hold a Ph.D. in mathematics, statistics, mathematical finance, financial engineering, quantitative finance, actuarial science, economics, or a closely related field by the anticipated start date;
  2. Demonstrate strong research potential, as evidenced by scholarly publications, working papers, a well-defined research agenda, presentations, grants, or other appropriate metrics of research productivity and impact; and
  3. Demonstrate effective teaching ability, as evidenced by teaching experience, student evaluations, teaching-related materials, instructional innovations, or other appropriate metrics of teaching effectiveness.

Preferred Qualifications:
Preference will be given to candidates who demonstrate:
  1. Strengths in one or more of the following areas: mathematical, statistical, econometric, or computational methods; 
  2. Evidence of interdisciplinary collaboration; 
  3. Experience in, or potential for, graduate mentoring; and 
  4. Evidence of the ability to develop an externally funded research program.
Safety Information:
Adherence to robust safety practices and compliance with all applicable health and safety regulations are responsibilities of all TTU employees.

Equal Opportunity Statement:
The University does not tolerate discrimination or harassment of any employee or applicant for employment because of sex, race, color, national origin, religion, age, disability, protected veteran status, genetic information, or any other legally protected category, class, or characteristic.

Special Instructions to Applicants:
Please include the following documents in your application:
  1. Curriculum Vitae
  2. Cover Letter
  3. A research statement
  4. A teaching statement
  5. Contact information for at least three professional references.

Letters will be requested directly from references for semi-finalists.
Questions about the position should be directed to Dr. Alex Trindade, Search Committee Chair, at alex.trindade@ttu.edu. Applicants who need assistance with the application process may contact Texas Tech University Human Resources, Talent Acquisition, at hrs.recruiting@ttu.edu or 806-742-3851.

Application Process:
The application deadline is December 15, 2026.

To ensure full consideration, please complete an online faculty application at Work at Texas Tech. Requisition # 46007BR.


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Contact: Alex Trindade, 806-834-6164
Email: email address
Postal Mail:
Dept. of Mathematics and Statistics
1108 Memorial Cir
Mail Stop 1042
Texas Tech University
Lubbock, TX 79409-1042
Web Page: https://www.depts.ttu.edu/math/about/open_positions.php