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10 часов назад

Risk Engineer (Quantitative Finance)

200 000 - 300 000$
Тип работы
fulltime
Грейд
middle
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
Risk Engineer (Quantitative Finance): Building factor risk models, performance analytics, and risk management tools for global electronic trading with an accent on multi-asset modeling, tail risk estimation, and large-scale data analysis. Focus on researching new risk models, productionizing quantitative tools, and solving complex risk management challenges across interest rates, commodities, credit, and equities.

Location: New York, NY, United States

Salary: USD 200,000–300,000 per year, plus discretionary performance-based bonuses.

Company

hirify.global applies a scientific approach to algorithmic trading and develops sophisticated computing environments for financial research and trading.

What you will do

  • Build and enhance in-house factor risk models across interest rates, commodities, credit, and equities.
  • Customize vendor market risk models and research new models for trading and risk management challenges.
  • Improve tail risk estimation for historical and hypothetical scenarios with risk managers.
  • Ingest, evaluate, and transform large datasets for risk and performance analysis.
  • Design performance analytics and risk decomposition applications.
  • Collaborate with developers to productionize risk models, maintain the risk production codebase, and communicate with investment teams.

Requirements

  • Bachelor’s degree in Mathematics, Physics, Computer Science, or Statistics; an advanced degree is a plus.
  • 2–5 years of experience as a quantitative analyst at a hedge fund, institutional asset manager, or investment bank.
  • Strong knowledge of linear algebra, applied probability, and statistics.
  • Excellent knowledge of Python and Linux.
  • Experience with fixed income, commodities, credit, or options is preferred.
  • Strong cross-functional communication skills and the ability to work independently and collaboratively.

Culture & Benefits

  • Scientific, innovation-focused environment centered on algorithmic trading and automation.
  • Collaborative community of researchers, engineers, traders, and business specialists.
  • Culture of openness, transparency, and knowledge sharing.
  • Competitive benefits package and performance-based bonuses.
  • Diverse, inclusive workplace with colleagues and offices around the globe.

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