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5 дней назад

Quantitative Developer (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Singapore
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Quantitative Developer (AI) (Python/C++ and Quantitative Finance): Building data pipelines, computational frameworks, and software systems that power systematic quantitative strategies with an accent on scalable infrastructure, research workflows, and AI-powered engineering tools. Focus on integrating LLM agents and copilots, supporting the full data-to-trading lifecycle, and turning researchers’ ideas into robust production solutions.

Location: Singapore

Company

hirify.global develops and deploys systematic financial strategies across asset classes and global markets using predictive signals, proprietary research platforms, and quantitative investment technology.

What you will do

  • Design and build data pipelines and the data layer.
  • Develop computational frameworks and infrastructure for running quantitative strategies at scale.
  • Implement and enhance software systems supporting data, research, portfolio construction, and trading.
  • Partner hands-on with researchers and quants to turn ideas into robust production solutions.
  • Build and integrate AI-powered tooling, including LLM agents, copilots, and workflow automation.
  • Use AI coding assistants and agentic developer tools to improve software delivery.

Requirements

  • Technical or quantitative degree from a top-tier institution.
  • 3–8 years of software engineering experience.
  • Programming experience in Python or C++ on Linux or Unix platforms, with familiarity with scripting languages.
  • Experience with version control and continuous integration and deployment.
  • Strong communication, problem-solving, judgment, attention to detail, and collaborative skills.
  • Experience with AI technologies such as LLMs and agentic AI is beneficial; finance experience is not required.

Culture & Benefits

  • Academic sensibility is combined with accountability for results.
  • Employees are encouraged to challenge conventional thinking and pursue continuous improvement.
  • Work in a collaborative, intellectually driven environment with researchers, quants, and portfolio managers.
  • Technology teams participate in projects across the full systematic and quantitative business lifecycle.

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