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7 дней назад

Trader (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
junior
Английский
b2
Страна
US
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
Trader (AI): Executing client orders across global equities, ETFs, foreign currency, and related derivatives with an accent on electronic trading, algorithmic strategies, and execution performance. Focus on managing portfolio and basket orders, analyzing trading data with machine learning, and developing proprietary trading tools and metrics.

Location: Hybrid position based in the Kansas City, Missouri office; scheduled office attendance is required. Applicants must be authorized to work in the United States without visa sponsorship, now or in the future.

Company

hirify.global is an independent global asset manager focused on equities, fixed income, multi-asset strategies, ETFs, and private investments.

What you will do

  • Execute client orders across global equities, ETFs, foreign currency, and related derivatives in accordance with best execution policies.
  • Manage securities orders and portfolio or basket trading of large order lists, primarily across the United States, Canada, and Latin America.
  • Trade electronically using algorithmic strategies and in traditional high-touch broker-dealer environments.
  • Evaluate execution performance and coordinate capital markets participation.
  • Communicate relevant market information to investment teams and coordinate workflows with Global Equity Trading colleagues.
  • Work with management and technical teams to enhance trading tools, proprietary metrics, and internal reports.

Requirements

  • At least 1 year of trading experience at an asset manager, hedge fund, bank, or other financial institution.
  • Experience with electronic trading of global equities and ETFs, plus knowledge of equity market structure.
  • Familiarity with Bloomberg, OMS, and EMS platforms.
  • Advanced Excel skills and proficiency with AI tools and use cases.
  • Practical experience applying machine learning concepts to quantitative analysis of trading data.
  • Bachelor’s degree in business, accounting, economics, mathematics, statistics, computer science, business analytics, engineering, or a comparable field.

Culture & Benefits

  • Hybrid work arrangement with scheduled office attendance.
  • Competitive compensation package with a bonus plan.
  • Generous paid time off and competitive benefits.
  • 401(k) with a 5% company match and an annual performance-based discretionary contribution.
  • Tuition reimbursement, formal mentorship, and live and online learning opportunities.

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