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How much do quant developer trainee jobs pay per year?

As of Jun 23, 2026, the average yearly pay for quant developer trainee in the United States is $169,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $134,500.00 and $199,000.00 per year, depending on experience, location, and employer.

Is 40 too old to become a quant?

Age is not a strict barrier to becoming a quant developer; many professionals transition into quantitative roles later in their careers. Success depends on relevant skills such as programming, mathematics, and finance knowledge, which can be developed through self-study, courses, or advanced degrees regardless of age.

Is 30 too late to become a quant?

The Quant Developer Trainee role typically requires strong quantitative skills, programming knowledge, and often a background in mathematics or finance. While many entrants start in their early 20s, it is possible to transition into quant roles at age 30 or later if you acquire relevant skills through self-study, coding, and possibly advanced degrees. Age is less of a barrier than demonstrated technical ability and relevant experience in the field.

Do JP Morgan hire quants?

JP Morgan hires quantitative analysts and quantitative developers, often referred to as quants, for roles in trading, risk management, and technology. These positions typically require strong skills in mathematics, programming, and financial modeling, and may involve working with tools like Python, C++, or MATLAB. The firm values advanced degrees and relevant experience in quantitative finance or related fields.

Is quant developer in demand?

Quant developers are in high demand in financial firms, hedge funds, and trading firms due to their expertise in developing algorithms, models, and trading strategies. The role requires strong programming skills in languages like Python, C++, or Java, and knowledge of financial markets and mathematics. As financial technology advances, the demand for quant developers is expected to remain strong.

What is the difference between Quant Developer Trainee vs Quant Developer?

AspectQuant Developer TraineeQuant Developer
Required CredentialsTypically pursuing or recently completed a degree in finance, mathematics, or computer scienceUsually holds a bachelor's or master's degree in related fields, with some roles requiring certifications like CQF or CFA
Work EnvironmentEntry-level, training-focused environment within financial firms or hedge fundsFull-time professional role involving development and implementation of trading algorithms
Employer & Industry UsageUsed in financial institutions, hedge funds, and trading firms for training purposesEstablished role in quantitative finance teams across similar institutions

The main difference between a Quant Developer Trainee and a Quant Developer is experience level and responsibility. Trainees are in learning and development phases, while Quant Developers are fully responsible for designing and maintaining trading algorithms. The transition from trainee to developer involves gaining practical experience and technical skills.

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Quant Developer Trainee jobs near you
Infographic showing various Quant Developer Trainee job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 88% Physical, 5% Hybrid, and 7% Remote job distribution, with an average salary of $169,729 per year, or $81.6 per hour.
Faculty Appointment in Radiology and Biomedical Imaging

Faculty Appointment in Radiology and Biomedical Imaging

Yale University

New Haven, CT • On-site

Other

This job post has expired today. Applications are no longer accepted.

Yale University rating

8.7

Company rating: 8.7 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

42nd of 539 rated colleges and universities

Job description

Description
The Department of Radiology and Biomedical Imaging at the Yale School of Medicine invites applications for an Assistant Professor position in positron emission tomography (PET) imaging. Appointments are available on both the traditional and investigator tracks, and rank is dependent on the successful candidate's qualifications. Successful candidates will be expected to teach undergraduate and graduate courses in related areas, develop an independent research program in collaboration with an interdisciplinary team of faculty, and secure external research funding.
Responsibilities may include the development, characterization and validation of novel imaging biomarkers with PET, pharmacokinetic modeling of novel radiopharmaceuticals, development of advanced image reconstruction algorithms for quantitative PET and PET/MR imaging and the development of deep learning methods to improve quantitative PET imaging.
Yale School of Medicine educates and nurtures creative leaders in medicine and science, promoting curiosity and critical inquiry. We advance discovery and innovation fostered by partnerships across the university, our local community, and the world. We care for patients with compassion, and commit to improving the health of all people.
The Yale University PET Center located on Howard Avenue in New Haven, CT is a 22,000 sq. ft. facility established to advance the interests of Yale clinicians, scientists, and students in molecular imaging research. The Yale University PET Center is comprised of a technologically advanced radiochemistry laboratory engaged in the development and use of a rich set of PET radiopharmaceuticals labeled with the most common PET isotopes (11C, 15O, 13N, and 18F); and an imaging and data analysis section that oversees scanning procedures and optimizes data acquisition and analysis.
The Yale University PET Center collaborates with other School of Medicine departments to provide educational opportunities for doctoral and postdoctoral trainees. Collaborations with industry partners serve to advance the use of molecular imaging in new medication discovery and the development of new PET radiopharmaceuticals. Current research interests focus on disorders of the central nervous system (CNS), oncology, cardiology, and diabetes.
Qualifications
Successful candidates should have a Ph.D. or MD/PhD in biomedical engineering, physics, electrical and computer engineering, computer science, applied mathematics or related fields. They should have experience and a track record of publications in two of the following areas:
  • PET imaging physics, modeling of PET data and corresponding physical corrections.
  • Tomographic image reconstruction including conventional reconstruction algorithms and penalized image reconstruction techniques.
  • Radiotracer development, acquisition of experimental data including arterial blood and plasma as well as radiometabolite analysis using HPLC techniques, pharmacokinetic modeling including blood-based and reference region-based models, and use of numerical solvers for model fitting.
  • Deep learning tools and methods for image denoising, reconstruction, segmentation and classification.
Besides a strong background in the listed areas, candidates should demonstrate the following technical skills:
  • Experience with computer science and data science, image processing and analysis.
  • Proficiency with programming languages such as C/C , Python, MATLAB, R, Linux scripting (e.g. bash).
  • Strong verbal and written communication skills demonstrated by publication track record and experience with grant writing.
  • Mentoring skills for undergraduate and graduate students, interns and visitors.
Besides the requirements listed above, additional desired qualifications include:
  • Experience with MR imaging and MR image reconstruction and analysis.
  • Experience with brain imaging and knowledge of biomarkers in Alzheimer's and other neurodegenerative diseases.
  • Familiarity with optimization theory and applications to inverse problems.

Application Instructions
Interested applicants should upload their CV, cover letter and three letters of reference to: apply.interfolio.com/185695. Review of applications will begin immediately and continue until the position is filled.

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