Назад
Company hidden
4 дня назад

Assistant Vice President, Quantitative Analyst, Structured Finance

63 400 - 92 133€
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Assistant Vice President, Quantitative Analyst, Structured Finance (Python/C++): Developing credit rating models and analytical tools for ABS, CMBS, RMBS, and structured credit with an accent on predictive modeling, statistical methods, and quantitative research. Focus on building scalable data and model-training solutions, enhancing proprietary libraries, and solving complex default and loss modeling problems.

Location: Madrid, Spain; hybrid work with four days in-office each week

Base salary: EUR 63,400–92,133 annually; 20% annual bonus target

Company

hirify.global's Structured Finance Analytics Team builds models and analytical tools that help rating analysts assess transaction credit risk.

What you will do

  • Conduct proprietary research and support the development of credit rating methodologies and predictive models.
  • Develop, maintain, and enhance proprietary Python and C++ libraries for model building.
  • Use structured and unstructured data to create quantitative frameworks for analyst decision-making.
  • Design and develop scalable solutions for information ingestion, storage, computation, training, inference, and validation.
  • Collaborate with Credit Ratings, Credit Practices, Methodology Review, Data Engineering, and Technology teams.
  • Contribute to quantitative research papers, methodology enhancements, and analytical innovation.

Requirements

  • Bachelor's degree in mathematics, engineering, physics, economics, finance, statistics, or a related quantitative discipline; a master's degree or PhD is preferred.
  • At least five years of experience in a rating agency or financial institution.
  • At least five years of hands-on experience modeling RMBS, ABS, or CLO defaults and losses.
  • Proficiency in Python or C++, with experience writing research articles or technical documentation in LaTeX.
  • Strong knowledge of statistical modeling, probability theory, numerical analysis, stochastic calculus, numerical integration, Monte Carlo simulation, root-finding, and optimization.
  • Strong understanding of securitization products and the ability to translate between business and technical requirements.

Nice to have

  • CQF or a postgraduate degree in quantitative finance, economics, or a STEM field.
  • Experience with NumPy, Pandas, Scikit-Learn, and SciPy.
  • Experience analyzing large datasets and developing cloud applications, preferably with AWS.

Culture & Benefits

  • Work in a global quant team distributed across the US and Europe.
  • Hybrid collaboration model with regular in-person work.
  • Tools and resources are provided for collaboration with global colleagues.
  • Additional benefits support flexibility as needs change.
  • Personal and related investments must be disclosed to Compliance and may be subject to Code of Ethics and approved-broker requirements.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →