Live opening · Posted 5 days ago
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Embark on a dynamic career as a member of our Quantitative Trading & Research (QTR) group, where innovation meets execution. This role offers the chance to develop state-of-the-art algorithmic strategies, driving growth and client satisfaction. You'll collaborate closely with sales, ensuring tailored solutions that meet client needs, while honing your skills in a supportive environment. In addition, you will gain hands-on experience with cutting-edge technology and advanced data analytics, leveraging the latest tools to optimize trading performance and deliver actionable insights. You will be joining a cross-asset ETF team that focuses on systematic trading and market making across both EMEA and North America, providing broad exposure to global markets.
Job Summary:
As an Associate in our QTR team, you will be at the forefront of algorithmic execution across macro markets. Your work will directly impact our institutional clients, providing them with advanced trading solutions. You'll be part of a team that values collaboration, innovation, and continuous learning, contributing to the firm's success and your professional growth. Notably, you will join this initiative at a very early stage in its maturity, offering a unique opportunity to help build the business from the ground up and play a pivotal role in shaping its direction and success.
Job Responsibilities:
Partner with sales to design algorithmic trading solutions tailored to client needs.
Manage algorithmic trading risk and resolve execution issues.
Analyze data to identify patterns and revenue opportunities.
Formulate, analyze, and back-test execution strategies.
Required Qualifications, Capabilities, and Skills:
Bachelor’s degree in computer science or a quantitative field.
At least 3 years of experience in algorithmic trading or a related field.
Excellent communication skills.
Strong attention to detail and adaptability.
Eagerness to learn and grow in a dynamic environment.
Preferred Qualifications, Capabilities, and Skills:
Interest in client interaction and engagement.
Understanding of market microstructures and quantitative trading.
Proficiency in programming languages.
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