aipythonsqlstatisticsrmachine learningeconometricstime series analysisquantitative researchportfolio optimization
Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чётко описанная стажировка в крупной инвестиционной компании даёт практический опыт количественных исследований и применения ИИ, но срок в шесть месяцев ограничивает долгосрочную вовлечённость.
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Актуальные технологии
Сильная исследовательская практика
ИИ в финансах
Четыре дня в офисе
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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