Senior Quant Researcher - Fixed Income

Squarepoint Capital · Bengaluru · Posted 2026-07-19

Tech stack: C++, Java, Python

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About the role

Typical Day of Quant Researcher:

Responsibilities:
- 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.
- 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.

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.

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.

Responsibilities

- 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.
- 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.

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