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Quant Developer Trainee Jobs in New York (NOW HIRING)

HSS

Post Baccalaureate Researcher

New York, NY · On-site

$48K - $74K/yr

... quantitative data analysis, and scientific communication, while working closely with surgeons, engineers, radiologists, statisticians, and rehabilitation specialists. The trainee will work as part of ...

NYU Langone Health

Senior Research Scientist

Manhattan, NY

$108K - $137K/yr

... and mentorship to trainees. To apply, please email Dr. Hakhamanesh Mostafavi at hakhamanesh ... related quantitative field, with a strong publication record in complex trait or statistical ...

NYULMC

Senior Research Scientist

New York, NY · On-site

$107K - $137K/yr

... and mentorship to trainees. To apply, please email Dr. Hakhamanesh Mostafavi at hakhamanesh ... related quantitative field, with a strong publication record in complex trait or statistical ...

All JobsQuant Developer Trainee JobsQuant Developer Trainee Jobs in New York

Quant Developer Trainee information

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
Associate Research Scientist

Associate Research Scientist

Columbia University in the City of New York

New York, NY • On-site

Full-time

Posted 20 days ago

Job description

Description
The Department of Radiology Clinical Research Division invites applications for an Associate Research Scientist to join the Center for Advanced Diagnostic Research (CADRe) of Dr. Stella Kang. The successful candidate will lead the development and implementation of advanced computational models of disease, with a focus on oral lesions and cancers.
This position involves the design, execution, and analysis of quantitative disease simulation models, including state-transition (Markov) models, discrete event simulations, differential equations, and agent-based modeling approaches. The candidate will integrate epidemiologic and clinical data from national datasets and the scientific literature into robust computational frameworks.
Specific duties include:
  • Design, develop, and validate computational disease models using state-transition, discrete event, differential equation, and agent-based modeling methodologies.
  • Implement simulation models in Python, R, C, C++, or other scientific programming environments.
  • Integrate model parameters using national datasets for incidence, mortality, and related epidemiologic outcomes.
  • Conduct structured literature reviews to inform model inputs, assumptions, and validation.
  • Apply principles of diagnostic test accuracy, including ROC analysis.
  • Perform statistical analyses, including multivariable regression and time-to-event methods, as needed to support modeling.
  • Develop and maintain databases of model inputs, outputs, and analytical results.
  • Prepare manuscripts, abstracts, and presentations for peer-reviewed journals and scientific conferences.
  • Present regular progress updates to the Principal Investigator and collaborate with a multidisciplinary research team.
  • Mentor junior researchers, including Postdoctoral Fellows and research assistants, as appropriate.

Qualifications
Minimum Qualifications:
  1. Ph.D. in decision sciences, industrial engineering, epidemiology, biostatistics, mathematics, engineering, computational sciences, or a related quantitative field.
  2. Demonstrated expertise in simulation modeling methodologies, including Markov/state-transition, discrete event, differential equation, and/or agent-based modeling.
  3. Strong foundation in probability theory and statistical methods.
  4. Proficiency in scientific programming (Python, R, C, C++, or equivalent).
  5. Experience conducting systematic literature searches using PubMed/MEDLINE, Embase, or similar databases.
  6. Excellent written and oral communication skills in a scientific context.
  7. Strong organizational skills for managing complex datasets and multi-component modeling projects

Preferred Qualifications:
  • Experience in decision analytic modeling or economic evaluation.
  • Knowledge of epidemiologic methods and health outcomes research.
  • Prior involvement in modeling cancer or oral lesion progression.
  • Experience mentoring trainees and collaborating within multidisciplinary research teams.

Apply