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3 дня назад

Intern, Quantitative Research (AI)

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

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TL;DR
Intern, Quantitative Research (AI/Finance): Developing quantitative and factor-based investment strategies and analyzing financial and alternative datasets with an accent on econometrics, time-series analysis, portfolio optimization, and responsible AI. Focus on building alpha signals, conducting robust out-of-sample research, applying machine learning to investment workflows, and documenting reproducible results.

Location: Frankfurt am Main, Hesse, Germany. Hybrid workplace model with at least four full days each week in the advertised office.

Company

hirify.global is a global independent investment firm providing investment strategies and vehicles to institutional and retail clients.

What you will do

  • Develop and improve quantitative and factor-based investment strategies for institutional and retail clients.
  • Prepare, validate, and analyze financial and alternative datasets while maintaining data quality, confidentiality, and reproducibility.
  • Research alpha signals, portfolio construction, risk-management approaches, and strategy performance using robust out-of-sample testing.
  • Investigate AI-assisted methods, machine learning, and generative AI applications for quantitative research and workflow improvement under senior researcher guidance.
  • Document research clearly and collaborate with quantitative researchers, portfolio managers, client portfolio managers, distribution teams, intermediaries, and clients.
  • Follow hirify.global conduct principles and governance requirements for data, models, intellectual property, and responsible AI use.

Requirements

  • Working towards an advanced degree in economics, finance, computer science, data science, applied mathematics, physics, or a related quantitative discipline.
  • Excellent academic background with demonstrated strength in quantitative coursework or research.
  • Excellent knowledge of econometrics and statistics, including time-series analysis, with very strong analytical and mathematical skills and knowledge of optimization techniques.
  • Good coding skills, preferably in Python or R.
  • Basic understanding of machine-learning concepts and interest in applying AI techniques to quantitative investment research.
  • Strong written and verbal communication skills, including the ability to explain technical methods clearly.
  • Evidence of applied problem-solving through coursework, research projects, competitions, or relevant internships.
  • Ability to collaborate across groups, execute high-quality research, and communicate effectively with investment and client-facing stakeholders.
  • Sound judgment about where AI adds value and where human review remains essential, with a dependable and results-oriented approach.

Nice to have

  • Experience with SQL and cloud-based environments such as AWS.
  • Exposure to machine learning or generative AI through coursework, research projects, or previous experience.
  • Experience with Compustat, Worldscope, Datastream, Axioma, or Barra.
  • Familiarity with Git, reproducible research practices, modern AI tools, and coding assistants.

Culture & Benefits

  • Six-month fixed-term student/intern contract.
  • Full-time employment with a hybrid workplace model requiring at least four full days per week in the advertised office.
  • Inclusive environment that welcomes difference and supports collaborative work and professional development.
  • Opportunities to contribute to charitable initiatives and ESG investing activities.

Hiring process

  • Applications are handled directly by hirify.global’s in-house recruitment team; unsolicited agency or search-firm resumes are not accepted.
  • Reasonable adjustments for interviews or assessments can be requested by emailing EMEA Talent Acquisition with the candidate’s name, role, and required adjustment.

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