Algorithmic Trader

4 days ago


Singapore G-20 Group Full time

**About G-20** The G-20 Group is a pioneer in Quantitative Trading systems in cross-asset markets. Headquartered in Switzerland, we operate at the intersection of Quantitative Research, Software Engineering and Trading. The team combines a startup mindset with extensive experience in proprietary Trading, Technology and Quantitative Finance. **Role Overview** **Key Responsibilities** - Manage algorithmic trading strategies in real-time. - Continuously refine quoting, hedging, and execution algorithms to improve profitability and reduce slippage. - Monitor algorithm performance, market conditions, and risk exposures during trading sessions. - Collaborate with quants, developers, and data scientists to enhance models, signals, and execution logic. - Analyze historical trading data to identify performance trends and optimize parameters. - Ensure compliance with market regulations, exchange rules, and internal risk controls. - Contribute to strategy development and market microstructure research. - Troubleshoot algorithmic issues, ensuring system uptime and reliability. **Requirements**: - Degree in Finance, Mathematics, Physics, Computer Science, Engineering, or a related field from a top-tier university. - At least 5 years of experience in algorithmic or electronic trading, preferably in spot markets (FX, crypto, equities, or commodities). - Proven track record of generating consistent profits (PnL >$2m for more than 3 years). - Strong understanding of market microstructure, liquidity dynamics, and execution strategies. - Familiarity with real-time trading systems, data feeds, and market connectivity. - Proven ability to monitor and manage risk in fast-moving, high-volume markets. - Strong analytical and quantitative skills, with attention to performance metrics and optimization. - Excellent communication and teamwork skills, with the ability to collaborate effectively across teams. **Preferred / Desirable Experience** - Proficiency in Python, C++, or another trading-related programming language. - Experience in market making, arbitrage, or statistical trading strategies. - Exposure to low-latency or high-frequency trading environments. - Familiarity with cloud infrastructure, containerized systems, or distributed data processing. Join G-20 and be a part of a team that is at the forefront of financial markets, driving innovation and excellence in the sector.


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