Senior Researcher
- Perform statistical modelling from data
- Research on algorithm / computationally oriented optimization
- Process large, complicated and noisy data
- Strong analytical skills and quantitative interpretation
- Strong programming skills in Java
- Full time role Melbourne CBD
The Portland House Group is one of Australia’s largest Private Funds Management Groups which operates on a collegial culture with an open flow of ideas.
This is an exciting and rewarding senior development role in a young and growing algorithmic trading team. The successful applicant will have strong self-motivated and oriented working ethics, excellent communication and teamwork.
Candidates are expected to have at least two years of actual work experience in the statistical modelling/algorithm optimization/data mapping, and have a post-graduate degree in Applied Mathematics/Physics/Electrical Engineering or Geophysics with a strong academic record. Previous experience or significant interest in the finance, enthusiasm and imagination when analysing large complex data, statistical modelling or data mining is an advantage.
Salary is highly competitive and commensurate with experience.
Candidates will be required to demonstrate their skills by participating in our tests.
Applicants are requested to email their applications (including cover letter, resume and academic transcripts) to Judy Young at jobs@phg.com.au. All candidates will be acknowledged electronically and treated in strictest confidence.
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