Real-Time Systematic Trader | ML-Driven Markets & Operations

JAC Recruitment Consultant

Singapore

On-site

SGD 70,000 - 120,000

Full time

2 days ago
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Job summary

JAC Recruitment Consultant is seeking a candidate to join a quantitative trading operations team focused on real-time monitoring, incident response and analytics. You will interpret market data, run pre-market checks, support configurations and document post‑release outcomes.

Candidates should have a quantitative degree with solid statistics knowledge, Python for data analysis, and good English communication. Prior exposure to trading or market microstructure is a plus. Night shifts are required.

Qualifications

  • Degree in a quantitative discipline or equivalent demonstrated ability.
  • Strong foundation in probability and statistics and knowledge of financial markets.
  • Experience with Python for data processing and analysis; Linux/UNIX and SQL a plus.
  • Good judgement, attention to detail, reliable execution.
  • Clear written and spoken English for incident updates and collaboration.

Responsibilities

  • Real-Time Monitoring of market data, orders, executions, positions and system health.
  • Trading Operations: pre-market checks, shift handovers, config changes and post-release checks.
  • Incident Response: follow SOPs, verify outcomes, escalate unresolved issues.
  • Analytics & Improvement: use Python to analyze trading data and improve monitoring and SOPs.
  • Compliance & Coordination: follow market rules and document incidents.

Skills

Python
Analytical thinking
Attention to detail
English communication

Education

Degree in quantitative discipline

Tools

Linux/UNIX
SQL

Job description

JAC Recruitment Consultant is seeking a candidate to join a quantitative trading operations team focused on real-time monitoring, incident response and analytics. You will interpret market data, run pre-market checks, support configurations and document post‑release outcomes.

Candidates should have a quantitative degree with solid statistics knowledge, Python for data analysis, and good English communication. Prior exposure to trading or market microstructure is a plus. Night shifts are required.

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