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Vice President (ETF Trading)

150 000 - 300 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
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
Vice President (ETF Trading) (Algorithmic Trading/Quantitative Finance): Developing, testing, and executing systematic ETF trading strategies across global markets with an accent on quantitative modeling, market data analysis, and execution optimization. Focus on backtesting risk-adjusted strategies, managing market and liquidity risks, and improving automated trading performance.

Location: New York, NY, United States; office location: New York

Salary: USD 150,000–300,000 base salary, with potential discretionary bonus for active employees at fiscal year-end

Company

hirify.global' Global Banking & Markets division is hiring for its Public, ETF Trading team.

What you will do

  • Design, develop, and implement systematic algorithmic trading strategies for ETFs across global markets.
  • Analyze historical and real-time market data to identify inefficiencies and build predictive models.
  • Backtest and optimize strategies for robustness and risk-adjusted returns.
  • Execute trades through automated systems while minimizing slippage, transaction costs, and market impact.
  • Monitor market, liquidity, and operational risks within established guidelines and limits.
  • Analyze strategy performance and collaborate with quantitative researchers, data scientists, and traders to improve results and integrate tools such as Python, SQL, and MATLAB.

Requirements

  • Bachelor's degree in Finance, Economics, Engineering, Computer Science, Mathematics, or a related field.
  • At least 2 years of experience as a quantitative trader, systematic trader, or in a similar role, with a strong focus on ETFs and algorithmic trading.
  • Proficiency in Python, C++, Java, or similar programming languages, plus financial modeling, data analysis, and backtesting experience.
  • Strong knowledge of statistics, econometrics, or machine learning techniques applied to trading strategies.
  • Deep understanding of financial markets, especially ETF structure, liquidity, and market microstructure.
  • Strong analytical, problem-solving, verbal, and written communication skills, with the ability to adapt to changing market conditions and present findings to stakeholders.

Culture & Benefits

  • Collaborate with quantitative researchers, data scientists, traders, and other stakeholders.
  • Potential discretionary bonus eligibility applies to active employees at fiscal year-end.

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