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4 дня назад

Execution Quant

Формат работы
remote
Тип работы
fulltime
Английский
b2
Страна
UAE
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR

Execution Quant (Python/Rust/C++/Java): Own execution quality end-to-end by building execution reporting infrastructure, developing execution signals, and optimizing order execution with an accent on low-latency order book analysis and transaction cost analysis. Focus on establishing ground-up metrics, diagnosing execution quality issues from reports, and reducing trading costs across global markets.

Location: Dubai, United Arab Emirates

Company

hirify.global is a proprietary algorithmic trading firm running a full trading cycle from software development to coding strategies and algorithms.

What you will do

  • Analyze execution reports to identify poor trades and execution quality issues.
  • Build execution signals to improve performance, including order-specific metrics and toxicity analysis.
  • Establish execution reporting infrastructure from the ground up.
  • Perform low-latency order book analysis to optimize execution across global markets.
  • Run pre- and post-trade transaction cost analysis (TCA) to benchmark execution and find cost reduction opportunities.
  • Collaborate with trading and data engineering teams to improve infrastructure and execution controls.

Requirements

  • Strong command of execution signals and low-latency order book analysis.
  • Proven experience building execution models.
  • Proficiency in Python and at least one low-level language (Rust, C++, or Java).
  • Background in prop trading (ideally equities or currencies; futures also considered on the trading side, not risk).
  • Degree in physics, math, statistics, econometrics, or computer science.
  • Willingness to work remotely with East Coast US–Singapore time zone alignment.

Culture & Benefits

  • 100% remote organization.
  • Ground-floor opportunity to build execution reporting and controls from scratch.
  • Collaboration across trading and data engineering to improve execution infrastructure.

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