Junior Quant Developer

Reposted 8 Days Ago
Be an Early Applicant
Singapore, SGP
In-Office
Mid level
Financial Services
The Role
As a Quant Developer, you will collaborate with researchers and traders to implement trading strategies, analyze backtesting results, and drive cross-team initiatives.
Summary Generated by Built In

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
  • Ability to work effectively with AI tools and systems, including demonstrable experience using them collaboratively to enhance software development, data analysis, or research workflows.
  • 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

Skills Required

  • 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

Squarepoint Capital Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Squarepoint Capital and has not been reviewed or approved by Squarepoint Capital.

  • Healthcare Strength Health, dental, and vision insurance are provided alongside FSA options, indicating a broad healthcare offering. Disability, life, and AD&D coverage are also cited as part of the package.
  • Retirement Support A 401(k) program is offered, with multiple mentions of a company match. Long‑term financial protections such as life and disability insurance complement the retirement plan.
  • Leave & Time Off Breadth Generous PTO, paid sick days, and paid volunteer time are included. Parental leave is described as generous.

Squarepoint Capital Insights

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The Company
HQ: New York, New York
1,267 Employees
Year Founded: 2014

What We Do

Squarepoint Capital is a leading global investment management firm that develops quantitative investment strategies to achieve high quality returns for our clients. We are a data and technology driven firm who specialize in developing automated trading systems that execute across global financial markets.

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