Developer jobs in Singapore
Trading Ops & Risk Systems Engineer (AI & Automation)
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Trading Ops & Risk Systems Engineer (AI & Automation)
Job summary
A cryptocurrency trading platform is on the lookout for a highly analytical professional to lead the evolution of trading infrastructure. This hybrid role encompasses trading operations, risk management, and the use of AI technologies. The successful candidate will manage daily operations, risk monitoring, and drive digital transformation through automation. Ideal candidates should have at least 5 years of experience in front-office operations, along with strong Python and SQL proficiency. The role requires flexibility for long hours and on-call participation.
Qualifications
- 5+ years in front-office operations or quant development.
- Expert proficiency in Python and strong SQL skills.
- Deep understanding of P&L attribution and market risk indicators.
Responsibilities
- Manage daily operational workflows and risk monitoring.
- Develop AI-driven risk models to predict market volatility.
- Ensure data integrity across trading systems and finance ledgers.
Skills
We are seeking a highly analytical and technical professional to spearhead the evolution of our trading infrastructure. This hybrid role combines the fast-paced execution of a Trading Operations Specialist, the analytical rigor of a Risk Manager, and the technical capabilities of an AI-focused Developer.
The successful candidate will not only manage daily operational workflows and risk monitoring but will also lead the digital transformation of these functions. You will leverage Large Language Models (LLMs), machine learning, and advanced scripting to automate legacy manual processes, improve predictive risk modeling, and build real-time P&L visualization tools.
- Trading Operations and P&L Analysis with AI
- Manage the end-to-end lifecycle of trades across multi-asset classes. Develop agentic AI workflows using Python (ML) and MLOps tools to automate manual operations and reconciliations
- Perform daily P&L attribution and explain variance by decomposing market moves, Greeks, and new activity. Leverage AI/ML frameworks (e.g., OpenAI API, LangChain, or local LLMs) to build intelligent agents for anomaly detection in trade data and automated commentary generation for P&L reports.
- Ensure data integrity across trading systems, middle-office platforms, and downstream finance ledgers.
- Risk Monitoring & Control
- Intelligent Risk Management: Develop real-time, AI-driven risk models that use machine learning to predict market volatility and alert the desk to emerging cross-market risks.
- Develop and maintain sophisticated risk reporting dashboards for the desk.
- Experience: 5+ years in front-office operations, quant development, or a blend of risk management and systems architecture within a financial institution.
- Technical Stack: Expert proficiency in Python (for AI/ML), and strong SQL skills. Experience building agentic AI workflows is a significant advantage.
- Financial Acumen: Deep understanding of P&L attribution, financial controls, market risk indicators (Greeks, VaR), financial markets and products.
- Problem Solving: A "systems-thinking" approach to operations—treating every manual task as a bug that needs an automated solution.
- Capacity: Ability to thrive in a high-intensity environment requiring extended hours (eg. 60-70/week) to meet global trading demands.
- Agility: Willingness to participate in a rotational weekend and 24/7 on-call schedule, providing immediate resolution to live production issues
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.