Quantitative Researcher - Machine Learning

Delmar Nord; Boston (MA); On-site; USD 100,000 - 130,000; Full time

Job summary

Delmar Nord in Boston is looking for a Quantitative Researcher to join their engineering team in a proprietary trading firm. This role involves conducting quantitative research, applying machine learning and statistical models, and collaborating with senior researchers. Candidates must have a PhD or MS in a quantitative field such as mathematics or statistics, along with strong programming skills in C++ and Python. Experience in finance is not required, but applying machine learning to real-world problems is essential.

Qualifications

• PhD or MS in a quantitative field is required.
• Experience with C++ and Python is mandatory.
• Publications in top machine learning/statistics journals are preferred.

Responsibilities

• Conduct quantitative research with senior teams.
• Create, refine, back test, and productionize models.

Skills

C++

Python

Quantitative research

Machine learning

Statistical models

Education

PhD or MS in a quantitative field

Job description

We are partnered with a highly intellectual engineering team at a proprietary trading firm who is looking to add a Quantitative Researcher. The team conducts trading-related research and development by applying principles of scientific computing and analytical and programming skills using modern state-of-the-art tools and software.

• PhD or MS in a quantitative field is required (e.g. mathematics, physics, statistics, or operations research)
• Experience with C++ and Python is required
• Conduct quantitative research with senior quantitative researchers to create or refine, back test and productionize different machine learning and statistical models

Strong academic background with publications in top machine learning/statistics journal/conferences is highly sought after. Finance experienced in not required but experience in applying machine learning techniques to solve real-world problems is a must.