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4 часа назад

Quantitative Analyst, Solutions Research & Analytics (Finance)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Quantitative Analyst, Solutions Research & Analytics (Finance): Building portfolio construction, forecasting, optimization, and analytics tools for multi-asset and single-asset investment solutions with an accent on quantitative research, financial modeling, and high-performance computing. Focus on developing APIs, integrating risk models, applying machine learning and Generative AI, and translating investment frameworks into systematic client-facing tools.

Location: London, United Kingdom; hybrid work with at least four full days each week in the advertised office.

Company

hirify.global is a global investment management firm providing investment strategies and vehicles to clients worldwide.

What you will do

  • Construct multi-asset and single-asset portfolios using advanced asset allocation and portfolio construction techniques.
  • Build high-performance computing algorithms, infrastructure, APIs, and analytics tools supporting the investment process.
  • Research and develop statistical, forecasting, machine learning, and Generative AI methods, including agentic workflows.
  • Translate investment frameworks such as cash flow driven investing, liability driven investing, and insurance capital-efficient portfolio construction into practical tools.
  • Apply optimization and multi-period simulation techniques to improve portfolio solutions and account for flows and optionality.
  • Collaborate with quantitative and technology teams while improving data management, research procedures, and investment frameworks.

Requirements

  • Advanced degree in a quantitative discipline such as engineering, finance, operations research, or computer science.
  • Strong knowledge of statistics, optimization, financial analytics, and investment metrics.
  • Experience or strong understanding of pension and insurance-related analytics.
  • Ability to translate abstract financial principles into systematic algorithmic representations.
  • Ability to work in the London office at least four full days per week under the current workplace model.

Nice to have

  • Experience with matching adjustment calculations and pension regulations.
  • Experience using third-party risk models such as BarraOne or Axioma.
  • Progress toward the CFA designation.

Culture & Benefits

  • Company-provided healthcare, income protection, life insurance, and generous pension provisions.
  • Competitive annual leave, enhanced parental leave, and health and wellness benefits.
  • Flexible working options within the required hybrid workplace model.
  • Volunteering days and opportunities to support charitable organizations.
  • Inclusive recruitment and workplace practices, including adjustments during the application process.

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