Derivatives Quant Researcher - Market Signals

Jump Trading; London (KY); On-site; USD 200,000 - 300,000; Full time

Benefits offered by this job

Discretionary bonus eligibility

Medical insurance

HSA/FSA options

Employer Paid Group Term Life and AD&D

Voluntary Life & AD&D insurance

Paid vacation and holidays

Retirement plan with employer match

Paid parental leave

Job summary

Jump Trading Group is seeking a quantitative researcher to apply mathematics, statistics, and machine learning to identify patterns and predict market signals in global derivatives markets. You will collaborate with traders, researchers, hardware and software engineers, and business teams to push forward innovative ideas.

Strong background in quantitative research, market modeling, and derivatives knowledge is required, with proficiency in Python and C++.

Qualifications

• Strong background in quantitative research and market modeling.
• Experience with derivatives products and market mechanisms.
• Proficiency in Python and C++ for trading system development.

Responsibilities

• Apply math, statistics, and machine learning techniques to identify patterns and predict market signals in global derivatives space.
• Collaborate with scientists, traders, hardware and software engineers, and business teams to push for best expression of new ideas.
• Other duties as assigned or needed.

Skills

Quantitative research

Market expertise

Fair value models

Derivatives market knowledge

Python

C++

Availability

Education

Master or PhD in applied mathematics, statistics, OR operations research, machine learning, physics

Tools

Python

C++

Job description

Jump Trading Group is seeking a quantitative researcher to apply mathematics, statistics, and machine learning to identify patterns and predict market signals in global derivatives markets. You will collaborate with traders, researchers, hardware and software engineers, and business teams to push forward innovative ideas.

Strong background in quantitative research, market modeling, and derivatives knowledge is required, with proficiency in Python and C++.