Quantitative ML Researcher - Trading Models (Hybrid)

Quant Blueprint LLC; New York (NY); Hybrid; USD 165,000 - 325,000; Full time

Benefits offered by this job

Fully paid medical and dental insurance premiums

Onsite gyms and wellness activities

Tuition reimbursement and training sponsorship

Unlimited sick days

Flexible in-office days

Job summary

Two Sigma is seeking a Quantitative Researcher in New York to develop sophisticated trading models using statistical techniques and machine learning. This role requires a degree in a technical field and skills in programming. Enjoy comprehensive benefits including paid medical insurance, unlimited sick days, and flexible work policies.

Candidates will use scientific methods to analyze data and must have experience presenting or publishing their work in the field. The position offers a salary range of $165,000 to $325,000, depending on experience and qualifications.

Qualifications

• Degree in a technical or quantitative discipline is required.
• Intermediate skills in at least one programming language like C, C++, Java, or Python.
• Understanding of machine learning algorithms and ability to tweak them.
• Experience with applying machine learning to datasets.
• Publication in journals or presentations at conferences.

Responsibilities

• Develop sophisticated trading models using a scientific method.
• Apply machine learning to various datasets.
• Create and test investment ideas with engineers.
• Participate in reading circles to stay updated on research.
• Attend seminars and share insights from conferences.

Skills

Statistical techniques

Machine learning

Data analysis

Programming in C/C++/Java/Python

Education

Degree in statistics, mathematics, physics, engineering, or computer science

Job description

Two Sigma is seeking a Quantitative Researcher in New York to develop sophisticated trading models using statistical techniques and machine learning. This role requires a degree in a technical field and skills in programming. Enjoy comprehensive benefits including paid medical insurance, unlimited sick days, and flexible work policies.

Candidates will use scientific methods to analyze data and must have experience presenting or publishing their work in the field. The position offers a salary range of $165,000 to $325,000, depending on experience and qualifications.