Quant ML Research Intern for Markets

IMC

Sydney

Presencial

AUD 34.000 - 55.000

Jornada completa

14 días+

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

Supera los filtros ATS

Ventajas ofrecidas por este puesto de trabajo

Fully furnished accommodation
Catered meals

Descripción de la vacante

IMC is offering a Machine Learning Internship designed for curious researchers to apply ML to real-world trading problems. Over 10 weeks, you will work with experienced researchers, designing experiments, analyzing large datasets, and contributing to research guiding IMC's global trading strategies.

The program includes classroom learning, hands-on project work, and a mentorship structure. Compensation is highly competitive, with fully furnished corporate accommodation and catered meals.

Formación

  • Penultimate year student, graduating in 2028, pursuing an MSc in ML/Statistics/DL or related field.
  • Strong foundations in statistics and ML with research exposure.
  • Proficiency in Python and ML frameworks, especially PyTorch.

Responsabilidades

  • Conduct hands-on research to design, develop, and apply original ML algorithms with mentorship.
  • Analyze large-scale datasets, build predictive models, and evaluate novel approaches.
  • Develop research skills through project work, mentorship, and feedback from senior researchers.
  • Enhance understanding of quantitative trading via classroom-based instruction in options theory and market making.

Conocimientos

Penultimate year student
MSc in ML/Statistics/DL/Probabilistic
Python
PyTorch
Research track record

Educación

MSc in Machine Learning/Statistics/Deep Learning or related

Herramientas

PyTorch

Descripción del empleo

IMC is offering a Machine Learning Internship designed for curious researchers to apply ML to real-world trading problems. Over 10 weeks, you will work with experienced researchers, designing experiments, analyzing large datasets, and contributing to research guiding IMC's global trading strategies.

The program includes classroom learning, hands-on project work, and a mentorship structure. Compensation is highly competitive, with fully furnished corporate accommodation and catered meals.

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