Quant Researcher/Execution Quant

ioTech Solutions; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

An innovative firm in the finance sector is seeking a quantitative researcher to enhance trading strategies through advanced data analysis and model development. In this dynamic role, you will analyze market microstructure and collaborate closely with traders to implement research findings, optimizing trading performance. The ideal candidate will possess an advanced degree in a quantitative field and demonstrate proficiency in programming languages such as Python and C++. Join a forward-thinking team where your analytical skills and problem-solving abilities will contribute significantly to the firm's success in trading all liquid asset classes.

Qualifications

• Advanced degree in data science, statistics, mathematics, or related fields required.
• Proficiency in Python and C++ programming languages is preferred.

Responsibilities

• Conduct research to develop and refine quantitative models for trading strategies.
• Analyze market microstructure and collaborate with traders to enhance algorithms.

Skills

Analytical Skills

Problem-Solving

Communication Skills

Attention to Detail

Multi-tasking

Education

Advanced degree in quantitative field

Tools

Python

C++

Job description

My client is a multi-managers quantitativehedge fund that adopts the latest technologies that trade all liquid assets classes.

Responsibilities:

In this position, you will focus on conducting research to develop and refine quantitative models for execution strategies. Your responsibilities will include:

• Analyzing market microstructure and liquidity dynamics to enhance trading algorithms.
• Collaborating with traders and researchers to implement and deploy research findings.
• Monitoring and analyzing trading performance, identifying areas for improvement and optimization.

Qualifications:

• Advanced degree in a quantitative field such as data science, statistics, mathematics, computer science, physics, or engineering.
• Ability to multi-task in a fast-paced environment while maintaining strong attention to detail.
• Proficiency in at least one leading programming language (Python and C++ preferred).
• Experience in exploring large datasets across multiple time frames is a plus.
• Background in Market Making or High-Frequency Trading is advantageous.
• Ability to work autonomously within a collegial and collaborative environment.
• Excellent communication skills, capable of engaging with technologists, data scientists, and traders globally.
• Strong collaborative, critical thinking, analytical, and creative problem-solving abilities.