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4 дня назад

Campus Python Software Engineer (Intern) (Fintech)

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

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TL;DR
Campus Python Software Engineer (Intern) (Fintech) (Python/data infrastructure): Building production data pipelines, trading infrastructure, post-trade systems, and analytics platforms with an accent on data integrity, statistical analysis, and operational reliability. Focus on processing large-scale trading data, debugging end-to-end pipelines, computing fees and PnL across global markets, and improving performance with Rust-based components.

Location: Shanghai, China; candidates should be interested in working in an APAC office for a full-time role after graduation

Company

hirify.global develops research-driven technology and trading infrastructure for global financial markets.

What you will do

  • Develop and maintain ETL pipelines for vendor, tick/bar, and trading data using Python, Kafka, MySQL, and ClickHouse.
  • Build business-specific trading infrastructure that supports new markets and strategic initiatives.
  • Perform statistical analysis, build anomaly detection systems, and evaluate the effect of infrastructure changes on trading outcomes.
  • Develop and operate post-trade systems for clearing, reconciliation, fee computation, position management, and PnL.
  • Parse broker files, enrich trades with reference data, and compute fees across global markets and asset classes.
  • Own production systems by debugging incidents, tracing data through pipelines, and resolving root causes.

Requirements

  • Bachelor's degree in Computer Science, Computer Engineering, or a related field.
  • Proficiency in Python and hands-on experience building and maintaining production systems.
  • Comfort working with Linux, command-line tools, debugging, and bare-metal environments.
  • Strong fundamentals in data structures, algorithms, and system design.
  • Solid debugging skills and the ability to navigate unfamiliar codebases quickly.
  • Self-driven, proactive, collaborative, and comfortable working in a fast-paced trading environment.

Nice to have

  • Experience with Kafka or data pipeline tooling.
  • Background in statistics or data analysis.
  • Experience with Rust or C++.
  • Competitive programming experience.

Culture & Benefits

  • Work directly with trading, operations, finance, and research teams.
  • Collaborate in a research-oriented environment focused on innovation and intellectual rigor.
  • Use AI tools such as Claude and ChatGPT with careful judgment and verification.
  • Finance and economics experience is not required; domain knowledge is provided on the job.

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