Junior Quant Researcher

SQUAREPOINT SERVICES SINGAPORE PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A global investment management firm in Singapore is seeking a Quant Researcher to research trading strategies and analyze large data sets using advanced statistical methods. The ideal candidate will have a quantitative background and programming proficiency in a major language like C++, Java, or Python. Strong communication skills and the ability to work well under pressure are essential. This position offers the opportunity to work in a dynamic and technology-driven environment.

Qualifications

• Quantitative background required.
• Proficiency in at least one programming or scripting language.
• Strong communication skills needed.

Responsibilities

• Research and implement strategies within the firm’s automated trading framework.
• Monitor behavior and performance of strategies during market hours.
• Analyze large data sets to identify trading opportunities.

Skills

Quantitative background

Programming proficiency

Strong communication skills

Ability to work well under pressure

Education

Degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science, or Physics

Job description

Squarepoint is a global investment management firm that utilizes a diversified portfolio of systematic and quantitative strategies across financial markets that seeks to achieve high quality, uncorrelated returns for our clients. We have deep expertise in trading, technology and operations and attribute our success to rigorous scientific research. As a technology and data-driven firm, we design and build our own cutting-edge systems, from high performance trading platforms to large scale data analysis and compute farms. With offices around the globe, we emphasize true, global collaboration by aligning our investment, technology and operations teams functionally around the world.

Overview of Quant Researcher Position:

• Research and implement strategies within the firm’s automated trading framework.
• Analyze large data sets using advanced statistical methods to identify trading opportunities.
• Develop a strong understanding of market structure of various exchanges and asset classes.

Typical Day of Quant Researcher:

• Primary focus throughout the day is on researching and implementing trading ideas.
• Before market open, check that all required data and related processes are ready for the trading day.
• During market hours, sporadically monitor behavior and performance of strategies.

Skill Set Required For Position:

• Quantitative background - includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics.
• Programming proficiency with at least one major programming or scripting language (e.g. C++, Java, Python).
• Strong communication skills and ability to work well with colleagues across multiple regions.
• Ability to work well under pressure.