Quantitative Jobs
Quantitative jobs are open across finance, hedge funds, insurance, and tech, from entry-level analyst to director and managing director, with specializations in algorithmic trading, risk modeling, and statistical research. Find a role that fits from the openings below and apply directly.
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Position Announcement
The Department of Mathematical and Quantitative Reasoning (MQR) at Utah Valley University invites applications for a non-tenure-track lecturer position beginning in August 2026.
The Department of Mathematical and Quantitative Reasoning, College of Science, and UVU are committed to fostering a supportive learning and working environment for students, faculty, and staff. We welcome applicants whose experiences have prepared them to contribute meaningfully to student success and support this commitment.
The successful candidate will teach courses ranging from Arithmetic through Quantitative Reasoning. Faculty members in the department teach students to understand and appreciate the relevance of mathematics in daily life as well as prepare them for future mathematics and other courses. They will cultivate a student-centered learning environment to help students succeed.
Additional responsibilities include designing course materials and preparing instructional content; assessing student learning; self-assessing teaching results and applying results to improve courses, curriculum, and instructional effectiveness.
Non-tenure-track lecturer positions require 15 hours of teaching for both Fall and Spring semesters. The ideal candidate will demonstrate a commitment to engage in professional development and to collaborate with faculty, staff, and students in support of the university’s mission and values.
UVU is a large public university with over 40,000 students. UVU is located in Orem, UT about 40 miles south of Salt Lake City.
Summary of Responsibilities
- Teaches fifteen credit hours of developmental mathematics and/or quantitative reasoning courses under administrative direction using a variety of delivery methods potentially including hybrid and online instruction. Plans, prepares, and follows an approved course of study with measurable objectives for each course taught. Prepares instructional materials including course syllabi, instructional aids, and tests.
- Instructs, manages, and supervises individuals and groups in regular classrooms and/or computerized classrooms through lectures, discussions, conferences, demonstrations, individualized instruction, and other appropriate methods. Evaluates student learning and utilizes accepted assessment strategies in evaluating learning. Maintains a student-centered approach to education. Maintains and submits records of students’ accountability and performance. Provides an open, discrimination-free classroom environment.
- Performs other duties as assigned.
Qualifications / Licenses / Certifications
- Graduation from a regionally accredited institution with Master's degree in mathematics, Mathematics Education, Statistics or Quantitative Methods related field.
- Knowledge and skill in current instructional theories, strategies, techniques, and discipline content.
- Applicants must have at least 18 semester hours of graduate-level mathematics or statistics courses. Although graduate courses in math education covering K-12 math topics, pedagogy, or curriculum are desirable, they do not count towards the required 18 hours of graduate-level mathematics.
Preferred Qualifications
- Experience in teaching students with a wide range of academic backgrounds, experiences, and learning needs.
- At least two years of teaching developmental mathematics or Quantitative Reasoning classes at the college level.
Documents Needed to Apply
Required:
- Cover Letter
- Curriculum Vitae
- Teaching Philosophy
- Unofficial Transcripts
Optional:
- License or Certification
- Evidence of Degree
- Letter of Recommendation #1
- Letter of Recommendation #2
Knowledge / Skills / Abilities
Knowledge
- Knowledge and experience in teaching developmental mathematics, quantitative reasoning, and/or statistics.
- Knowledge of statistical analysis.
- Knowledge of and consistent use of evidence-based and/or engaging teaching techniques.
- Knowledge of best pedagogical methods that support student learning and success.
- Knowledge with educational measurement, program evaluation, and student learning outcomes assessment.
- Knowledge of emerging practices related to the ethical and effective use of Artificial Intelligence (AI) in teaching and learning.
- Evidence of effective college-level teaching in lower-level college mathematics courses, developmental mathematics, statistics, and/or quantitative reasoning courses to non-STEM majors.
Skills
- Effective classroom management skills.
- Demonstrated strength in, and a passion for teaching mathematics in a classroom setting.
- Strong skills in presentation of course materials and learning experiences.
- Skilled in effective oral and written communications in English appropriate to varied audiences.
- Strong social skills and abilities to treat all students and university personnel with respect.
- Effective interpersonal, problem-solving, and decision-making skills.
Abilities
- Ability and willingness to teach face-to-face or online courses.
- Ability to engage, motivate, and evaluate students.
- Ability to work with the opportunities and challenges of a rapidly growing and changing institution.
- Proficiency in a variety of computer programs relevant to communication and the teaching of mathematics.
- Ability to effectively teach developmental math and/or Quantitative Reasoning students using a variety of instructional modes and acknowledge best practices in the discipline.
- Ability to communicate both written and orally in English to a wide range of students.
- Ability to use effective, student-centered instructional strategies and techniques which include engaged learning, and a blend of traditional instruction and online learning.
EEO Statement:
UVU employment decisions are made on the basis of an applicant’s qualifications and ability to perform the job without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age (40 and over), disability, veteran status, pregnancy, childbirth, or pregnancy-related conditions, genetic information, or other bases protected by applicable federal, state, or local law.
Position Announcement
The Department of Mathematical and Quantitative Reasoning (MQR) at Utah Valley University invites applications for a non-tenure-track lecturer position beginning in August 2026.
The Department of Mathematical and Quantitative Reasoning, College of Science, and UVU are committed to fostering a supportive learning and working environment for students, faculty, and staff. We welcome applicants whose experiences have prepared them to contribute meaningfully to student success and support this commitment.
The successful candidate will teach courses ranging from Arithmetic through Quantitative Reasoning. Faculty members in the department teach students to understand and appreciate the relevance of mathematics in daily life as well as prepare them for future mathematics and other courses. They will cultivate a student-centered learning environment to help students succeed.
Additional responsibilities include designing course materials and preparing instructional content; assessing student learning; self-assessing teaching results and applying results to improve courses, curriculum, and instructional effectiveness.
Non-tenure-track lecturer positions require 15 hours of teaching for both Fall and Spring semesters. The ideal candidate will demonstrate a commitment to engage in professional development and to collaborate with faculty, staff, and students in support of the university’s mission and values.
UVU is a large public university with over 40,000 students. UVU is located in Orem, UT about 40 miles south of Salt Lake City.
Summary of Responsibilities
- Teaches fifteen credit hours of developmental mathematics and/or quantitative reasoning courses under administrative direction using a variety of delivery methods potentially including hybrid and online instruction. Plans, prepares, and follows an approved course of study with measurable objectives for each course taught. Prepares instructional materials including course syllabi, instructional aids, and tests.
- Instructs, manages, and supervises individuals and groups in regular classrooms and/or computerized classrooms through lectures, discussions, conferences, demonstrations, individualized instruction, and other appropriate methods. Evaluates student learning and utilizes accepted assessment strategies in evaluating learning. Maintains a student-centered approach to education. Maintains and submits records of students’ accountability and performance. Provides an open, discrimination-free classroom environment.
- Performs other duties as assigned.
Qualifications / Licenses / Certifications
- Graduation from a regionally accredited institution with Master's degree in mathematics, Mathematics Education, Statistics or Quantitative Methods related field.
- Knowledge and skill in current instructional theories, strategies, techniques, and discipline content.
- Applicants must have at least 18 semester hours of graduate-level mathematics or statistics courses. Although graduate courses in math education covering K-12 math topics, pedagogy, or curriculum are desirable, they do not count towards the required 18 hours of graduate-level mathematics.
Preferred Qualifications
- Experience in teaching students with a wide range of academic backgrounds, experiences, and learning needs.
- At least two years of teaching developmental mathematics or Quantitative Reasoning classes at the college level.
Documents Needed to Apply
Required:
- Cover Letter
- Curriculum Vitae
- Teaching Philosophy
- Unofficial Transcripts
Optional:
- License or Certification
- Evidence of Degree
- Letter of Recommendation #1
- Letter of Recommendation #2
Knowledge / Skills / Abilities
Knowledge
- Knowledge and experience in teaching developmental mathematics, quantitative reasoning, and/or statistics.
- Knowledge of statistical analysis.
- Knowledge of and consistent use of evidence-based and/or engaging teaching techniques.
- Knowledge of best pedagogical methods that support student learning and success.
- Knowledge with educational measurement, program evaluation, and student learning outcomes assessment.
- Knowledge of emerging practices related to the ethical and effective use of Artificial Intelligence (AI) in teaching and learning.
- Evidence of effective college-level teaching in lower-level college mathematics courses, developmental mathematics, statistics, and/or quantitative reasoning courses to non-STEM majors.
Skills
- Effective classroom management skills.
- Demonstrated strength in, and a passion for teaching mathematics in a classroom setting.
- Strong skills in presentation of course materials and learning experiences.
- Skilled in effective oral and written communications in English appropriate to varied audiences.
- Strong social skills and abilities to treat all students and university personnel with respect.
- Effective interpersonal, problem-solving, and decision-making skills.
Abilities
- Ability and willingness to teach face-to-face or online courses.
- Ability to engage, motivate, and evaluate students.
- Ability to work with the opportunities and challenges of a rapidly growing and changing institution.
- Proficiency in a variety of computer programs relevant to communication and the teaching of mathematics.
- Ability to effectively teach developmental math and/or Quantitative Reasoning students using a variety of instructional modes and acknowledge best practices in the discipline.
- Ability to communicate both written and orally in English to a wide range of students.
- Ability to use effective, student-centered instructional strategies and techniques which include engaged learning, and a blend of traditional instruction and online learning.
EEO Statement:
UVU employment decisions are made on the basis of an applicant’s qualifications and ability to perform the job without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age (40 and over), disability, veteran status, pregnancy, childbirth, or pregnancy-related conditions, genetic information, or other bases protected by applicable federal, state, or local law.
See All 456+ Quantitative Jobs
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Find Quantitative JobsQuantitative Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- Two Sigma32
- Goldman Sachs28
- Trexquant Investment LP20
- WorldQuant20
- Fidelity Investments16
Top Industries Hiring
- Investment & Asset Management259
- Banking & Financial Services77
- Technology & Software77
- Fintech17
- Insurance13
What Employers Look For
The qualifications that appear most often in quantitative jobs.
- Advanced degree in mathematics, statistics, finance, or a related quantitative field
- Proficiency in Python, R, MATLAB, or C++ for statistical modeling and analysis
- Experience building and validating predictive or pricing models in a production environment
- Strong knowledge of probability theory, stochastic calculus, and linear algebra
- Familiarity with SQL and large-scale data manipulation for financial or research datasets
- Experience with backtesting frameworks, risk systems, or actuarial modeling software
Tips for Your Quantitative Job Search
Tailor your resume to model type
Hiring managers in quantitative roles distinguish between statistical modelers, algorithmic traders, and risk quants. Reframe your bullet points to match the model type in each posting rather than listing every technique you know.
Show your code, not just results
Most quantitative teams expect a GitHub repository or code sample before the first call. Include at least one well-documented project in Python or R that demonstrates your end-to-end workflow, from data cleaning through backtesting or inference.
Apply early to roles that fit
Migrate Mate lists quantitative openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target firms by their model stack
Hedge funds, prop trading firms, and insurance carriers each run different model architectures. Research the firm's public papers, blog posts, or job posting language to match your application vocabulary to the tools they actually use.
Prepare for two separate interview tracks
Most quantitative interviews split into a technical screen covering probability, statistics, and coding, and a separate business-logic round. Practice both tracks independently so a weak day on one doesn't cost you the other.
Negotiate using comp benchmarks, not guesses
Base salary, signing bonus, and performance allocation vary widely across firm types. Pull compensation data from the Bureau of Labor Statistics and industry surveys before your offer call so your counter is grounded in verifiable benchmarks.
Quantitative Jobs: Frequently Asked Questions
Which companies are hiring the most quantitatives?
The companies hiring the most quantitatives right now include Two Sigma, Goldman Sachs, and Trexquant Investment LP, with the largest share of openings in New York, Illinois, and California, based on current listings on Migrate Mate as of June 2026. Demand is highest at firms with active trading desks, insurance pricing teams, and technology-driven research divisions.
How many quantitative jobs are remote?
About 28% of quantitative openings are fully remote or hybrid as of June 2026, with the highest remote share in statistical research, risk modeling, and data-science-adjacent roles. Roles tied to live trading desks or regulated insurance pricing functions tend to require more in-office presence due to latency and compliance requirements.
How do you become a quantitative?
Start by building a strong foundation in mathematics, statistics, and programming through a bachelor's or master's degree in a quantitative field. Develop hands-on skills in Python or R and complete projects that demonstrate model-building from raw data to outputs. Internships at hedge funds, banks, or insurance firms convert academic work into professional credibility. Applying to analyst or junior researcher roles is the standard entry point into the profession.
Can you get a quantitative job with little experience?
Yes, entry-level quantitative roles exist at insurance carriers, mid-size asset managers, and fintech firms that prioritize academic training over years of experience. A strong portfolio of independent projects, a thesis with a modeling component, or a relevant internship can substitute for full-time history. Focus your applications on analyst titles rather than researcher or strategist roles, which typically require prior industry exposure.
What does the quantitative interview process look like?
Most quantitative interview processes run in three to four stages. A recruiter screen confirms your background and availability, followed by a technical phone or video assessment covering probability problems, statistics, and a coding exercise. Finalists typically complete a take-home case study involving real or simulated data, then attend an on-site or virtual loop with team members that tests both technical depth and communication of model assumptions and results.
Where can I find and apply to quantitative jobs?
You can find and apply to quantitative jobs on Migrate Mate, which lists current openings from across the United States in one place. Search the listings, find roles that match your background and target firm type, and apply directly to each listing without leaving the platform.
See All 456+ Quantitative Jobs
Jump back to the full list of openings and apply to any quantitative role that fits.
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