Shift Systematic Trader: Real-Time Risk & Automation

Tardis Group; Singapore; On-site; SGD 120,000 - 200,000; Full time

Job summary

Tardis Group in Singapore is seeking a Shift Trader to join its global quantitative trading team. You will oversee live systematic trading, real-time risk, and shift coverage, while building internal tooling to support monitoring and automation.

The role requires 2–5 years of experience, strong Python skills, and the ability to collaborate across trading, technology, and risk teams in a fast-paced environment.

Qualifications

• Singapore citizen/PR is required.
• 2–5 years of systematic trading experience in a live environment.
• Experience supporting, monitoring or operating systematic trading strategies.
• Proficient in Python; KDB is a plus.
• Strong verbal and written communication; able to collaborate globally.
• Ability to work with urgency in a fast-paced environment.

Responsibilities

• Monitor systematic trading strategies, orders, executions, positions, P&L, exposures and risk in real time.
• Respond to trading and production alerts, investigate issues, and escalate incidents.
• Take approved operational or trading actions per procedures and controls.
• Provide shift coverage and clear handovers across market hours.
• Monitor trading systems and processes, restarting or recovering services as required.
• Assist with trade booking, hedging, reconciliation, position management, expiries and corporate actions.
• Conduct post-trade and execution analysis to identify irregularities and improvements.
• Build Python tools for monitoring, alerting, analysis, reporting and automation.
• Improve procedural and incident-response documentation.
• Collaborate with trading, technology, risk, operations and others to resolve issues.

Skills

Systematic trading exp

Communication skills

Fast-paced environment

Tools

Python

KDB

Job description

Tardis Group in Singapore is seeking a Shift Trader to join its global quantitative trading team. You will oversee live systematic trading, real-time risk, and shift coverage, while building internal tooling to support monitoring and automation.

The role requires 2–5 years of experience, strong Python skills, and the ability to collaborate across trading, technology, and risk teams in a fast-paced environment.