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6 дней назад

Vice President, Quantitative Engineering (Financial Risk)

Тип работы
fulltime
Грейд
head
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR
Vice President, Quantitative Engineering (Financial Risk): Developing and documenting economic and financial scenarios, predictive models, and risk analytics for Asset & Wealth Management with an accent on financial mathematics, market analysis, and production-quality quantitative software. Focus on challenging market, credit, and liquidity risk models, analyzing large datasets, and quantifying vulnerabilities across normal and distressed market environments.

Location: Salt Lake City, Utah, United States

Company

hirify.global is a global financial services company with an Asset & Wealth Management division.

What you will do

  • Lead the development, implementation, and documentation of scenarios using economic and financial variables.
  • Analyze structured and unstructured datasets to build predictive models of business-relevant market variables.
  • Collaborate with internal stakeholders to analyze user needs and resolve data, model, and implementation issues.
  • Build, challenge, and improve market, credit, liquidity, and model risk analytics.
  • Document risk-model performance testing approaches and processes.
  • Mentor junior and mid-level quantitative engineering team members.

Requirements

  • Master’s degree and 3 years of relevant experience, Bachelor’s degree and 5 years, or PhD and 1 year in a quantitative field or related quantitative engineering role.
  • Experience with at least 5 of 8 required skill areas, including C++, Java, or Python; financial mathematics; risk analysis; production-quality mathematical models; database tools; algorithms and data structures; and financial product pricing models.
  • Knowledge of stochastic calculus, no-arbitrage pricing theory, multivariable calculus, linear algebra, probability theory, numerical methods, or Monte Carlo techniques.
  • Experience with object-oriented programming, scripting, and processing large datasets using SQL, MongoDB, or comparable data-management tools.
  • Experience developing pricing models for risk, economics, and cash flows under normal and distressed market conditions.

Culture & Benefits

  • Opportunity to work within Asset & Wealth Management on quantitative financial risk problems.
  • Equal opportunity employment in accordance with applicable law.

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