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Zürich / Genferstrasse 27
Actively hiring, first seen by us todayEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Advanced student (Master/PhD) or recent graduate in Computer Science, Physics, Data Science, Mathematics, Quantitative Finance, or a related field
You hold a valid work permit for the location you are applying to
You will design a robust, fully automated system that handles everything from daily data ingestion to advanced portfolio analytics and interactive visualization.
Implement Portfolio Analytics: Translate our financial concepts into Python code.
You will implement various portfolio construction methodologies, factor models, risk/return look-through metrics, and contribution analysis.
What would your role be? We are looking for a motivated, analytical, and autonomous Quant Data Engineer Intern who can bridge the gap between financial data and institutional-grade infrastructure. While our core expertise lies in deep fundamental market analysis and investment strategies, we process vast amounts of quantitative data daily. We trade a variety of financial indices composed of commodity futures and are now looking to elevate our data infrastructure to the next level. As fundamental portfolio managers, we will provide financial insights, portfolio models, and the requirements for the output. Your mission is to build the backend, the data pipelines, and the front-end. You will design a robust, fully automated system that handles everything from daily data ingestion to advanced portfolio analytics and interactive visualization. Build the Data Infrastructure: Design and implement a fully automated pipeline to ingest daily index position files, alongside futures price feeds from premium financial vendors (e.g., Bloomberg, Datastream) into our Snowflake database.
Ensure Institutional Stability (DataOps): Create a bulletproof daily process. This includes building automated monitoring tools, error handling, holiday calendars, and data-integrity checks to ensure no file is missed or corrupted. Implement Portfolio Analytics: Translate our financial concepts into Python code. You will implement various portfolio construction methodologies, factor models, risk/return look-through metrics, and contribution analysis. Develop a High-End Digital Dashboard: Build an interactive, crisp digital dashboard (e.g., using Streamlit, or similar) allowing us to "slice and dice" index data, look-through allocations, factor exposures, and risk metrics across multiple layers.
Ownership: You are curious and get involved. You ask why a process works the way it does, offer to help where your team needs it, and see your own projects through from start to finish.
What are we looking for? - Education: Advanced student (Master/PhD) or recent graduate in Computer Science, Physics, Data Science, Mathematics, Quantitative Finance, or a related field. - Software Engineering & Data Pipelines: Strong Python proficiency with the ability to write clean, modular, and production-ready code. Experience with automation, cron-jobs/orchestration, and Git version control.
What you need to apply - You are enrolled in a Bachelor’s or Master’s program, or graduated within the last two years, in finance, technology or a related field. - You have a genuine interest in the financial sector.
Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
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Day 0
Early. Similar jobs usually come down between day 5 and day 54.
From 12,066 similar postings that came down. Coming down is not always a hire.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Ensure Institutional Stability (DataOps): Create a bulletproof daily process. This includes building automated monitoring tools, error handling, holiday calendars, and data-integrity checks to ensure no file is missed or corrupted. - Implement Portfolio Analytics: Translate our financial concepts into Python code. You will implement various portfolio construction methodologies, factor models, risk/return look-through metrics, and contribution analysis. - Develop a High-End Digital Dashboard: Build an interactive, crisp digital dashboard (e.g., using Streamlit, or similar) allowing us to "slice and dice" index data, look-through allocations, factor exposures, and risk metrics across multiple layers.
- Education: Advanced student (Master/PhD) or recent graduate in Computer Science, Physics, Data Science, Mathematics, Quantitative Finance, or a related field. - Software Engineering & Data Pipelines: Strong Python proficiency with the ability to write clean, modular, and production-ready code. Experience with automation, cron-jobs/orchestration, and Git version control. - Database & Cloud Architecture: Solid expertise in SQL and hands-on experience setting up/managing cloud data warehouses (specifically Snowflake or Azure/AWS architectures).
- Database & Cloud Architecture: Solid expertise in SQL and hands-on experience setting up/managing cloud data warehouses (specifically Snowflake or Azure/AWS architectures). - Frontend & Visualization: First experience building clean, interactive web applications/dashboards for data analytics (e.g., Python Streamlit, Plotly Dash, Shiny). - Mindset: A high degree of autonomy. You enjoy taking a business requirement and figuring out the technical architecture to solve it independently.
- Software Engineering & Data Pipelines: Strong Python proficiency with the ability to write clean, modular, and production-ready code. Experience with automation, cron-jobs/orchestration, and Git version control. - Database & Cloud Architecture: Solid expertise in SQL and hands-on experience setting up/managing cloud data warehouses (specifically Snowflake or Azure/AWS architectures). - Frontend & Visualization: First experience building clean, interactive web applications/dashboards for data analytics (e.g., Python Streamlit, Plotly Dash, Shiny).
We are looking for a motivated, analytical, and autonomous Quant Data Engineer Intern who can bridge the gap between financial data and institutional-grade infrastructure. While our core expertise lies in deep fundamental market analysis and investment strategies, we process vast amounts of quantitative data daily. We trade a variety of financial indices composed of commodity futures and are now looking to elevate our data infrastructure to the next level. As fundamental portfolio managers, we will provide financial insights, portfolio models, and the requirements for the output. Your mission is to build the backend, the data pipelines, and the front-end. You will design a robust, fully automated system that handles everything from daily data ingestion to advanced portfolio analytics and interactive visualization. - Build the Data Infrastructure: Design and implement a fully automated pipeline to ingest daily index position files, alongside futures price feeds from premium financial vendors (e.g., Bloomberg, Datastream) into our Snowflake database. - Ensure Institutional Stability (DataOps): Create a bulletproof daily process. This includes building automated monitoring tools, error handling, holiday calendars, and data-integrity checks to ensure no file is missed or corrupted.
- Implement Portfolio Analytics: Translate our financial concepts into Python code. You will implement various portfolio construction methodologies, factor models, risk/return look-through metrics, and contribution analysis. - Develop a High-End Digital Dashboard: Build an interactive, crisp digital dashboard (e.g., using Streamlit, or similar) allowing us to "slice and dice" index data, look-through allocations, factor exposures, and risk metrics across multiple layers. What are we looking for?
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
What would your role be?
We are looking for a motivated, analytical, and autonomous Quant Data Engineer Intern who can bridge the gap between financial data and institutional-grade infrastructure. While our core expertise lies in deep fundamental market analysis and investment strategies, we process vast amounts of quantitative data daily. We trade a variety of financial indices composed of commodity futures and are now looking to elevate our data infrastructure to the next level. As fundamental portfolio managers, we will provide financial insights, portfolio models, and the requirements for the output. Your mission is to build the backend, the data pipelines, and the front-end. You will design a robust, fully automated system that handles everything from daily data ingestion to advanced portfolio analytics and interactive visualization.
What are we looking for?
What you bring
We are seeking highly motivated students that share our values:
What sets you apart
What you need to apply
What do we offer?
At Vontobel, we strive to create an inspiring environment where you can thrive. Here’s what you can expect:
The application period for the 2027 Early Careers Internship Program runs from 5 to 15 November. As applications are reviewed on a rolling basis and positions may close early, we encourage you to apply early. You may submit a maximum of two applications across all internship positions.
Why Vontobel?
At Vontobel, you are building better futures for our clients and society, as well as for yourself. As a family-owned and publicly listed company with over 2,000 professionals based in 29 locations globally and headquartered in Zurich, we’re committed to long-term thinking and sustainability.
Our diverse team values unique perspectives, and we hire individuals determined to deliver in a dynamic and changing world. Even if you don’t meet all the criteria, we encourage you to apply if you’re enthusiastic about the role.
Do you want to be Vontobel?
Thank you for applying to Vontobel. We will carefully review your application and will respond to you in a timely manner.
At Vontobel, we are an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity.
We value the many voices within our teams and are committed to creating an environment where everyone who wants to be part of our performance culture can be themselves. It is based on mutual respect and zero tolerance for any form of discrimination.
If you have any questions you can contact us through our contact form.
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Zürich / Genferstrasse 27
- Elite Financial Insights: Deep insights into institutional commodity markets, systematic vs. fundamental investing, and modern index methodologies directly from senior portfolio managers. - Prime Zurich location: Modern collaboration spaces, and free on-site canteen offering freshly prepared lunches to keep you energized. - Supportive and inclusive culture: Be part of a friendly, diverse team that values individuality and collaboration in an open-office setting.
- You are fluent in English, written and spoken. German, French or Italian is a plus. - You hold a valid work permit for the location you are applying to. What do we offer?
Thank you for applying to Vontobel. We will carefully review your application and will respond to you in a timely manner. At Vontobel, we are an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity. We value the many voices within our teams and are committed to creating an environment where everyone who wants to be part of our performance culture can be themselves. It is based on mutual respect and zero tolerance for any form of discrimination.