Senior Quant Researcher - Fixed Income

Squarepoint Capital; Dubai; On-site; USD 80,000 - 150,000; Full time

Job summary

An established industry player is seeking a Quant Researcher to drive innovative trading strategies within a dynamic automated trading environment. The role involves analyzing extensive data sets using advanced statistical techniques to uncover trading opportunities and developing a deep understanding of market structures across various exchanges. The ideal candidate will possess a strong quantitative background, programming proficiency, and excellent communication skills, thriving in a fast-paced environment. This is a unique opportunity to contribute to a forward-thinking firm that values analytical rigor and strategic insight.

Qualifications

• Quantitative background in Mathematics, Statistics, or related fields.
• Proficiency in programming languages like C++, Java, or Python.

Responsibilities

• Research and implement trading strategies within the automated trading framework.
• Analyze data sets to identify trading opportunities and monitor performance.

Skills

Quantitative Analysis

Statistical Methods

Programming (C++, Java, Python)

Communication Skills

Ability to Work Under Pressure

Education

Degree in Mathematics

Degree in Statistics

Degree in Financial Engineering

Degree in Computer Science

Degree in Physics

Job description

• 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.

Required Qualifications:

• 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.
• Successfully developing and implementing systematic strategies.