Radley James
Quantitative Researcher – High Frequency Trading
I am hiring on behalf of a growing high-frequency trading firm that employs applied research methods to test investment hypotheses and design quantitative computer‑driven trading models across various investment horizons and global liquid asset classes. The firm is actively hiring highly motivated and skilled Quantitative Researchers to join the team.
In this role you will work directly with senior quantitative portfolio managers and engineers, learning from years of experience across all major financial markets. Projects will primarily focus on systematic trading and will involve developing models that execute as part of a front‑office trading operation in global markets.
Requirements
2‑8+ years of professional experience
Proficient in Python or C++
Background in and aptitude for probability, statistics, and advanced mathematics
Experience working on alpha research
Strong work ethic and sense of accountability
Masters or PhD in Computer Science, Mathematics, or a related subject
Benefits
401(k)
Vision insurance
Medical insurance
Pension plan
Child care support
Paid maternity leave
Paid paternity leave
Disability insurance
Student loan assistance
Tuition assistance
#J-18808-Ljbffr
In this role you will work directly with senior quantitative portfolio managers and engineers, learning from years of experience across all major financial markets. Projects will primarily focus on systematic trading and will involve developing models that execute as part of a front‑office trading operation in global markets.
Requirements
2‑8+ years of professional experience
Proficient in Python or C++
Background in and aptitude for probability, statistics, and advanced mathematics
Experience working on alpha research
Strong work ethic and sense of accountability
Masters or PhD in Computer Science, Mathematics, or a related subject
Benefits
401(k)
Vision insurance
Medical insurance
Pension plan
Child care support
Paid maternity leave
Paid paternity leave
Disability insurance
Student loan assistance
Tuition assistance
#J-18808-Ljbffr