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2 дня назад

Global Banking & Markets-New York-Associate, Quantitative Engineering (Quantitative Engineering)

150 000 - 189 000$
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
Associate, Quantitative Engineering (Financial Markets and Risk): Developing economic and financial scenarios, predictive models, and quantitative risk analytics for Global Banking & Markets with an accent on financial mathematics, statistical analysis, and scalable data tools. Focus on building and challenging market, credit, liquidity, and model-risk frameworks, analyzing large structured and unstructured datasets, and documenting model performance testing.

Location: New York, NY, United States

Annual base salary: $150,000–$189,000

Company

hirify.global is a financial services firm with a Global Banking & Markets division.

What you will do

  • Develop, implement, and document scenarios using economic and financial variables for businesses across the firm.
  • Collaborate with internal stakeholders to analyze user needs and resolve data, model, and implementation issues.
  • Analyze structured and unstructured datasets to build predictive models of business-relevant market variables.
  • Develop and improve scenarios using financial markets, economics, statistical analysis, and programming expertise.
  • Build and challenge risk models and quantify vulnerabilities across market, credit, liquidity, and model risk.
  • Create and maintain technical documentation for risk-model performance testing.

Requirements

  • Master’s degree in Financial Engineering, Financial Economics, Applied Mathematics, Data Science, Operations Research, or a related field plus one year of relevant experience; or a bachelor’s degree plus two years of relevant experience.
  • Experience with C++, Java, or Python.
  • Experience developing probability and pricing models using financial mathematics principles.
  • Experience with quantitative analysis, advanced econometric or statistical techniques, or machine learning algorithms.
  • Experience in risk management, scenario analysis, quantitative risk analytics, factor models, or scalable data management and analysis tools.
  • Experience with statistics-driven performance analysis, including linear regression or time-series analysis.

Culture & Benefits

  • Equal opportunity employment and nondiscrimination across protected characteristics.
  • Position based in the New York office.

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