Quant Developer

Squarepoint Capital; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading quantitative finance firm in Singapore is seeking a Quant Developer to collaborate with Quant Researchers and Traders. The role involves implementing trading strategies, conducting backtesting simulations, and developing analytical tools using Python, C++, or KDB+/q. Ideal candidates should possess a degree in a quantitative discipline and have up to 4 years of relevant experience. Strong communication skills and a solid interest in finance are essential. This position offers a dynamic work environment with opportunities for professional growth.

Qualifications

• Up to 4 years of experience in a relevant role such as software or quant development.
• Strong interest in finance and knowledge of global markets.
• Eagerness to continuously learn new technologies.

Responsibilities

• Work side-by-side with Quant Researchers and Traders on trading strategies.
• Develop tools to apply advanced statistical methods.
• Drive cross-team initiatives in quantitative research.

Skills

Python

C++

Quantitative analysis

Git

Linux

Communication skills

Education

Degree in Applied Math, Physics, Engineering, Quantitative Finance, Computer Science

Tools

SQL

Job description

Please only apply to the one job you feel best fits your skillset and experience. If our team feels you are better suited for another role, we will reach out about the alternate opportunity.

Position Overview

As a Quant Developer at Squarepoint you will work side-by-side with Quant Researchers and Traders to implement novel trading strategies and software for research projects. You could develop tools to apply advanced statistical methods in order to identify new trading opportunities and to monitor their impact over time. You could also develop improvements to our trading strategies through the running and thorough analysis of backtesting simulations across vast amounts of proprietary data.

Whatever your project, you will drive cross-team initiatives at Squarepoint and will gain an excellent chance to learn from some of the world's most knowledgeable industry experts as you work towards our continued innovation in the quant research space.

Required Qualifications

• Degree in Applied Math, Physics, Engineering, Quantitative Finance, Computer Science or other quantitative disciplines
• Up to 4 years of experience in a relevant role such as software or quant development
• Proficiency in at least one of Python, C++, or KDB+ / q
• Strong interest in, or knowledge of finance and the global markets
• Experience working with git and Linux
• Excellent written and verbal communication skills
• Eagerness to continuously learn new technologies and develop with us
• Ability to work well in a fast-paced environment

Nice to have

• Master's degree or higher with emphasis in a highly quantitative discipline
• Deep knowledge of financial markets in at least one domain or asset class
• Experience with database management systems and related technologies such as SQL
• Experience working with financial data in a similar role