Quantitative Trader

Tardis Group; Singapore; On-site; SGD 60,000 - 100,000; Full time

Job summary

A leading financial firm in Singapore is seeking an Algorithmic Trader to design and refine high-performance trading algorithms. This role offers intensive mentorship and development opportunities, allowing candidates to work at the intersection of finance and technology, gaining expertise while collaborating with software engineers.

Qualifications

• Strong academic credentials in quantitative fields.
• Programming experience required; familiarity with Python, SQL, Java, or C++ is advantageous.
• No prior finance experience necessary.

Responsibilities

• Develop and manage algorithmic trading strategies across multiple markets.
• Collaborate with engineering teams to optimize trading systems.
• Analyze market data to understand and influence liquidity dynamics.

Skills

Quantitative skills

Problem-solving skills

Programming

Communication

Education

Degree in quantitative or technical fields (e.g., computer science, math, physics, statistics)

Tools

Python

SQL

Java

C++

Job description

About the Role

Join a leading financial firm specializing in advanced technology to provide liquidity and transparent trading solutions across global markets. As an Algorithmic Trader, you will design, operate, and refine high-performance trading algorithms deployed on electronic venues worldwide. Through intensive mentorship and hands-on training, you will master the trade flow process and contribute to strategy development and execution.

You will collaborate closely with software engineers to enhance trading systems, gaining deep expertise in trading technology and market microstructure. This role offers a unique opportunity to launch a career at the intersection of finance and technology.

Key Responsibilities

• Develop and manage algorithmic trading strategies across multiple markets
• Engage in continuous improvement of trading models and execution techniques
• Collaborate with engineering teams to optimize and innovate trading systems
• Analyze market data to understand and influence liquidity dynamics

Candidate Profile

• Strong academic credentials, preferably in quantitative or technical fields (e.g., computer science, math, physics, statistics)
• Excellent quantitative and problem-solving skills
• Programming experience required; familiarity with Python, SQL, Java, or C++ is advantageous
• Clear and precise communication skills
• Self-driven, able to work independently and proactively solve problems
• Motivated team player with initiative and resilience
• No prior finance experience necessary