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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 AuM) 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 (PhD 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