Bachelors in highly-analytical or technical field with a 3.5 GPA minimum (CS, EE, MechEng, Math, Statistics, Physics or related); Masters or PhD preferred
Demonstrated strong CS fundamentals/experience
And strong quantitative/analytical skills
Day to Day:
Develop testing environments and simulations for trading, creating long-term and scalable solutions. The types of problems the EE team works on cannot be solved solely by software - they require mathematical solutions.
R, KDB, Python for large-scale computing (HPC & ML experience is helpful)
Strong Quantitative/Statistical skills and understanding of Probability
Industry Experience / Skills / Knowledge / Products:
Finance experience is not required, but a demonstrated interest in finance as a problem is required (this work cannot be abstracted)
Industry candidates may have experience in
- Market Microstructure
- CRB Research
Attributes / Soft Skills / Motivation:
Strong Scientific Communication skills: must be able to understand and accurately communicate details/scope of models & formulas
Practical/commercial - not completely academic
Creative (think about edge cases, potential long-term issues, etc.)
For a discrete conversation about this role please reach out to our Executive Search Consultant Jackie Banner
Due to the high volume of applications, we will only be able to respond to candidates who have had previous experience and a successful track record.
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