Schlossberg Technologies is a quantitative investment management company trading in global financial markets, dedicated to producing exceptional returns for its investors by combining the most sophisticated scientific methods of quantitative finance, machine learning and behavioural finance.
Tasks
Bring along and implement quant model(s) in our quant multi-strategy fund
Utilize our trading infrastructure, with sub-4ms connection to major listed equities and futures exchanges
Monitor live trading and utilize automated alerts
Optimize models and help team enhance fund performance
Requirements
Proven track record (at least 50mn Au M) of developing and implementing quant strategies showing outperformance over peers running similar style of strategies
Experience working at a tier 1 quant hedge fund, with a strong understanding of market dynamics and trading strategies
Advanced degree (Ph D or Master)
Proficiency in programming languages such as Python and Java, with experience using Git for version control
Strong analytical skills and attention to detail, with the ability to interpret complex data sets and make data-driven decisions
Excellent communication and collaboration skills, with the ability to work effectively in a team environment
Benefits
Competitive salary with revenue sharing opportunities based on strategy performance
Access to sophisticated trading infrastructure and comprehensive data framework, including 1-minute and tick data
Opportunity to work with a dynamic and experienced team in a fast-paced environment
Potential for professional growth and development within the organization
We regret to inform you that this job opportunity is no longer available