Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Стажировка в крупной инвестиционной компании дает возможность самостоятельно создавать рабочие дата-пайплайны и аналитику портфеля, хотя такой широкий набор задач амбициозен для стажера.
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Актуальный стек
Финансовые технологии
Работа с реальным влиянием
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Текст:
Hirify AI/Оригинал
TL;DR
Early Careers Internship Program Investments – Data Engineer or Quant Developer (80-100%) (Python/Snowflake/Portfolio Analytics): Building automated financial data infrastructure, portfolio analytics, and interactive dashboards for commodity-index investment strategies with an accent on data pipelines, DataOps reliability, and quantitative analysis. Focus on designing institutional-grade ingestion workflows, implementing factor and risk/return models, and developing multi-layer visualizations for portfolio decision-making.
Paid internship with a standardized salary for early-career interns; exact amount not stated.
Company
hirify.global is a family-owned and publicly listed investment firm headquartered in Zurich, with over 2,000 professionals across 29 locations.
What you will do
Design and implement automated pipelines ingesting daily index position files and futures price feeds into Snowflake.
Build DataOps processes with monitoring, error handling, holiday calendars, and data-integrity checks.
Translate financial concepts into Python code for portfolio construction, factor models, risk/return look-through metrics, and contribution analysis.
Develop interactive dashboards with Streamlit or similar tools for index data, allocations, factor exposures, and risk metrics.
Architect the system from scratch, deploy it to production, and support daily fund-management decisions.
Requirements
Be enrolled in a Bachelor’s or Master’s program, or have graduated within the last two years, in finance, technology, computer science, physics, data science, mathematics, quantitative finance, or a related field.
Strong Python proficiency and the ability to write clean, modular, production-ready code.
Experience with automation, cron jobs or orchestration, and Git version control.
Solid SQL expertise and hands-on experience with Snowflake or Azure/AWS cloud data architectures.
Initial experience building interactive web applications or dashboards for data analytics using Streamlit, Plotly Dash, Shiny, or similar tools.
High autonomy and the ability to determine technical architecture from business requirements.
Genuine interest in the financial sector, commodity markets, financial indices, and derivative/futures markets.
Fluent written and spoken English required.
Valid work permit for Switzerland required.
Ownership, tenacity, foresight, proactive problem-solving, and effective collaboration.
Nice to have
Prior knowledge of portfolio construction or risk factors.
German, French, or Italian language skills.
AI literacy, including using AI tools for research, analysis, and drafting while verifying their output.
Culture & Benefits
Six-month internship starting 1 March 2027, with an 80–100% workload.
End-to-end ownership and direct exposure to institutional commodity markets, systematic and fundamental investing, and index methodologies.
Modern Zurich collaboration spaces, an open-office environment, and a free onsite canteen lunch.
Supportive, diverse, inclusive culture with a flat hierarchy and agile working environment.
Access to current technology, NextGen networking opportunities, and a paid standardized internship including free lunch.
Hiring process
The 2027 Early Careers Internship Program application period runs from 5 to 15 November, with rolling review and possible early closure.
Applicants may submit a maximum of two applications across all internship positions.
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