Front Office Trading Platform Support Engineer

SMART INFORMATION MANAGEMENT SYSTEMS PRIVATE LIMITED

Singapore

On-site

SGD 90,000 - 130,000

Full time

2 days ago
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Job summary

Smart IMS Inc provides Digital technology and Cloud transformation services, supporting a top global investment bank in Singapore with frontline production support for trading applications. You will cover multiple asset classes, investigate issues with traders, monitor platform health, and contribute to automation initiatives to improve efficiency and stability.

The role requires 3-4 years of relevant experience, strong SQL and Python skills, and familiarity with production incident management

Qualifications

  • 3-4 years of Front Office / Trading Application Support experience within investment banking or financial services.

Responsibilities

  • Provide Front Office production/application support for trading applications across asset classes (FX, IR, Commodities, Fixed Income).
  • Work with traders and business stakeholders to investigate and resolve application, trade flow, and production issues.
  • Monitor trading platforms, application health, batch processes, and operational workflows to ensure system stability and availability.
  • Manage incidents and problem management.
  • Perform start of day, End of Day and start of week checks.
  • Analyze application logs, activity logs, and batch logs using Python scripting and SQL queries for troubleshooting.
  • Identify opportunities for automation and automate manual tasks performed by the team.

Skills

Front Office trading app support
SQL queries
Python scripting
Incident management
Troubleshooting
Stakeholder management
Fast-paced environment

Tools

SQL
Python
ITRS Geneos
Splunk
Elastic
Dynatrace
Tableau
Ansible
TOSCA

Job description

Smart IMS Inc provides Digital technology and Cloud transformation services, supporting a top global investment bank in Singapore with frontline production support for trading applications. You will cover multiple asset classes, investigate issues with traders, monitor platform health, and contribute to automation initiatives to improve efficiency and stability.

The role requires 3-4 years of relevant experience, strong SQL and Python skills, and familiarity with production incident management

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