Real-Time Trading & Risk Automation Specialist

Tardis Group

Singapore

On-site

SGD 90,000 - 170,000

Full time

6 days ago
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Job summary

Tardis Group is seeking a Shift Trader in Singapore to join a fast-paced trading team. The role spans real-time risk monitoring, trading operations, and process automation across multiple time zones.

You will monitor exposures, P&L, and risk metrics, escalate issues, hedge as needed, and support trade booking and lifecycle activities. Proactive, detail-oriented professionals with strong Python skills are encouraged to apply.

Qualifications

  • Bachelor’s degree in a quantitative or related discipline.
  • Proficiency in Python; experience with KDB is a plus.
  • Strong communication and collaboration across locations.
  • Proactive with attention to detail in a fast-paced environment.

Responsibilities

  • Monitor real-time trading exposures, profit and loss, and risk metrics.
  • Identify and escalation issues, and execute hedging actions in line with established procedures.
  • Monitor systematic trading activity and respond to alerts to support the continuity of trading processes.
  • Support trade booking, position monitoring and other trading lifecycle activities.
  • Work with internal teams and external stakeholders to investigate and resolve issues.
  • Develop and improve scripts and tools to automate monitoring and operational workflows.
  • Provide shift coverage, including weekends or public holidays when required.

Skills

Python
Communication
Team collaboration
Attention to detail
Proactive

Education

Bachelor’s degree in a quantitative or related discipline

Tools

KDB

Job description

Tardis Group is seeking a Shift Trader in Singapore to join a fast-paced trading team. The role spans real-time risk monitoring, trading operations, and process automation across multiple time zones.

You will monitor exposures, P&L, and risk metrics, escalate issues, hedge as needed, and support trade booking and lifecycle activities. Proactive, detail-oriented professionals with strong Python skills are encouraged to apply.

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