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11 hours ago
The role involves working with a high-performance, data-driven trading environment to drive business growth and profitability.
- Build and enhance real-time trade monitoring systems for live and post-trade environments, driving faster data analysis and quicker issue resolution.
- Automate critical processes like position reconciliation, and locates borrowing, cutting down manual effort and boosting operational efficiency.
- Conducted advanced trading algorithm analyses, optimizing execution strategies to improve trading efficiency.
- Leveraged expertise in systematic trading systems to enhance financial data management and operational efficiency.
- Work closely with traders, exchanges/PBs, developers and risk managers to enhance operational workflows and reduce processing times.
- Supported trade operations by monitoring and resolving trade discrepancies, ensuring seamless settlement processes.
- Act as the first line of defense in the events of alerts, rejects, and outages, and act as the primary point of contact for brokers and exchanges as the run point on all live issues that impact trading, undertaking risk-reducing trades when required, and ensuring end of day processes.
- Bachelor's degree from a Tier 1 Singaporean university (Computer Science/Electrical/Mathematics/Finance/Business Analytics, or related fields preferred).
- 2+ years of experience in trade operations, trade support, data engineering, or trading development is advantageous.
- Strong programming skills in Python for automation and data analytics.
- Solid understanding of financial markets and instruments, electronic and algorithmic trading.
- Ability to stay calm and sharp under pressure and make quick decisions in a live trading environment.
- Excellent communication and collaboration skills.
- Gain exposure to high-frequency trading strategies and risk management.
- Collaborate with some of the brightest minds in quantitative finance and technology.
- Competitive compensation and opportunities for professional growth.
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