Electronic Trading Engineer

Tardis Group; Singapore; In loco; SGD 120.000 - 190.000; Tempo pieno

Descrizione del lavoro

Tardis Group in Singapore is seeking an Electronic Trading Engineer to join a hands-on, coding-intensive team at the intersection of trading, risk management and software development.

You will own live trading systems, develop new strategy features, and help evolve retail order routing as markets move toward 23/5 trading, with Asia hours and close collaboration with global teams.

The role emphasizes resilience, performance and precise risk controls in a fast-paced environment.

Competenze

• Experience in a financial institution.
• Strong Python programming experience.
• Experience with large datasets and SQL.
• Knowledge of US equity market structure advantageous.
• Calm under pressure, with sound decision-making in fast-moving environments.
• Excellent problem-solving and communication skills.

Mansioni

• Monitor automated trading and risk infrastructure in real time.
• Develop new strategy features and deploy code changes through established review processes.
• Design, execute and report on retail routing experiments.
• Take ownership of overnight priorities, supporting the transition towards 23/5 trading.
• Collaborate with traders and developers across regions to strengthen system resilience and improve production infrastructure.
• Build in-depth knowledge of risk systems, order flow and market structure.

Conoscenze

Python

SQL

Data analysis

Calm under pressure

Communication

Strumenti

Java/C++

Descrizione del lavoro

Join a leading global financial technology firm as an Electronic Trading Engineer, working at the intersection of trading, risk management and software engineering.

This is a hands-on, coding-intensive role offering the opportunity to take ownership of live trading systems, develop new strategy features and contribute to the evolution of retail order routing as markets move towards 23/5 trading.

Based in Singapore, you'll play a key role in supporting live systems during Asia trading hours, working closely with global teams and helping ensure resilience, performance and effective risk management across markets.

Day-to-day:

• Monitor automated trading and risk infrastructure, identifying and resolving issues in real time and escalating when necessary
• Develop new strategy features and deploy code changes through established review processes
• Design, execute and report on retail routing experiments
• Take ownership of overnight priorities, supporting the transition towards 23/5 trading
• Collaborate with traders and developers across regions to strengthen system resilience and improve production infrastructure
• Build in-depth knowledge of risk systems, order flow and market structure

Experience:

• Prior experience within a financial institution
• Strong Python programming experience
• Experience working with large datasets and SQL
• Knowledge of US equity market structure, including trading venues, smart order routing, order types and trade reporting, is advantageous
• Experience with Java or C++ is a plus
• Statistical analysis experience is beneficial
• Calm under pressure, with the ability to make sound decisions in fast-moving, time-sensitive environments
• Excellent problem-solving, communication and attention-to-detail skills
• A collaborative team player with flexibility around working hours