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Quantitative Research Developer Intern (Fintech)

Формат работы
onsite
Тип работы
fulltime
Грейд
junior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR

Quantitative Research Developer Intern (Fintech): Developing and shipping full-stack tools for research, risk, and execution in multi-strategy trading with an accent on portfolio construction, real-time risk analytics, and AI-driven analytics. Focus on building end-to-end products, balancing long-term platform projects with fast tactical delivery, and maintaining strong stakeholder communication.

Location: Must be based in Hong Kong or be willing to relocate (relocation support provided)

Company

hirify.global is a multi-manager platform investing across quantitative, fundamental equity, and tactical trading strategies with proprietary technology and global portfolio exposure.

What you will do

  • Automate PM/analyst processes including alpha signals, portfolio construction, real-time risk, P&L, and stress analytics.
  • Build proprietary research, portfolio construction, and risk management platforms.
  • Develop end-to-end products: data ingestion, micro-service back-ends, and lightweight front-ends for visualization and workflow.
  • Own the full software development lifecycle in a fast-moving trading environment.
  • Balance long-term platform projects with fast tactical requests and deliver incremental value quickly.
  • Extend the proprietary AI platform to create differentiated analytics.
  • Maintain strong communication with technology, trading, quant research, and risk stakeholders.

Requirements

  • Must have 2–3 years buy- or sell-side experience as a STRAT, quant dev, or forward-deployed engineer.
  • Willing to be based in Hong Kong (relocation support provided).
  • Strong coding skills across the stack including Python, REST/GraphQL APIs, and JS/React or Dash front-ends.
  • STEM Master’s or Ph.D. with strong quantitative and problem-solving skills; ML/AI experience is a plus.
  • Good understanding of trade lifecycle and investment management workflows; equities exposure preferred.
  • Self-starter with strong communication and stakeholder management skills.

Culture & Benefits

  • Teamwork-oriented, collaborative environment encouraging ideas at all levels.
  • Focus on talent development through learning, educational offerings, and impactful contributions.
  • Commitment to diversity, equity, and inclusion fostering a sense of belonging.
  • Supportive and fair hiring process emphasizing inclusivity.

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