13 часов назад
Graduate Quant Developer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Graduate Quant Developer (Python/C++/KDB+/q): Building scalable, production-grade data processing workflows, libraries, and tooling that support quantitative research, alpha generation, and investment decision-making with an accent on computational problem solving and cross-functional collaboration. Focus on designing efficient research workflows, developing analytics across asset classes, and gradually owning technical components with direct commercial impact.
Location: London, Montreal, or Singapore
Company
operates at the intersection of technology and investment research, developing quantitative systems and tools for investment decision-making.
What you will do
- Apply quantitative reasoning and software engineering skills to support investment research and trading.
- Translate business and research requirements into scalable, maintainable data processing workflows.
- Design and implement efficient workflows for alpha generation with quantitative researchers.
- Develop data-driven analytics and tooling across multiple asset classes.
- Build, extend, and maintain libraries, tools, and frameworks used by researchers and traders globally.
- Take ownership of technical components and contribute solutions with direct commercial impact.
Requirements
- Degree in mathematics, physics, engineering, computer science, or a similar quantitative discipline.
- Proficiency in at least one core language: Python, C++, or KDB+/q.
- Software development experience from internships, academic or research projects, work experience, or personal projects.
- Familiarity with Linux and version control systems such as Git.
- Experience using AI tools and systems collaboratively for software development, data analysis, or research workflows.
- Strong written and verbal communication, curiosity, motivation to learn, and ability to work in a fast-paced collaborative environment.
Nice to have
- Proficiency in more than one core programming language.
- Exposure to quantitative finance, trading, or financial markets.
- Experience in a financial services or technology-driven environment.
- Hands-on experience with Git and Linux in team-based or academic projects.
Culture & Benefits
- Hands-on early-career development with close collaboration and continuous learning.
- Collegiate, high-performance working environment.
- Collaboration across global Investment and Technology departments.
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