Responsibilities

: Conduct quantitative research and analysis to develop robust Equities trading strategies. Utilize statistical and/or machine learning techniques to identify and exploit market inefficiencies. Collaborate closely with other researchers, traders, and developers to enhance our trading models. Implement and test new strategies in a live trading environment. Continuously monitor and optimize existing strategies to ensure maximum profitability.

Qualifications:

Advanced degree (PhD or Master's) in a quantitative discipline such as Mathematics, Statistics, Physics,puter Science, or a related field. Proven experience in Equities trading with a demonstrable track record of success. Strong programming skills, particularly in Python, R, or C++. Expertise in statistical analysis, machine learning, and data mining techniques. Ability to work effectively in a collaborative team environment. Excellent problem-solving skills and attention to detail. Strongmunication skills, with the ability to conveyplex concepts to a non-technical audience.

What They Offer:

Strong risk allocation for experienced hires. Collaborative and inclusive work environment with access to cutting-edge technology and resources. Opportunities for professional growth and development. Flexible working arrangements andprehensive benefits package.

Job ID AMC/RSP/NW/EQR