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Early Careers Internship Program Investments –Data Engineer or Quant Developer (80-100%)

Zürich / Genferstrasse 27

Actively hiring, first seen by us today
Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

Before you apply

New graduates
Open to new graduatesAdvanced student (Master/PhD) or recent graduate in Computer Science, Physics, Data Science, Mathematics, Quantitative Finance, or a related field
Work authorization
Must already have the right to workYou hold a valid work permit for the location you are applying to

What you’ll work on

Full posting
  • 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.

From the employer’s posting
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.

What you’ll bring

All qualifications

Core experience

  • Ownership: You are curious and get involved.
Qualification wording
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.
Education & alternatives
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.
Apply at vontobel

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 9, 2026today
Recorded sightings
1
Employer says posted
Nov 5, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

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.

vontobel is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add 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.

  • Python
  • SQL
  • AWS
  • Azure
  • Snowflake
  • Plotly
  • Streamlit
Where the posting names them
- 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?

Your next step

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 834, the most 1,312, and the latest week had 1,079.
August 17Last week

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.

About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

Ready to take the next step in your career and make your mark in the financial world?

At Vontobel, we believe diverse perspectives drive innovation and success. That’s why we’re excited to welcome passionate, ambitious, and curious students into our Early Careers Internship Program. Whether you’re fascinated by finance, technology or investments, this program offers you the chance to collaborate with a dynamic team, receive personalized support, and contribute to projects that truly matter.

Over 6 months, starting on 1 March 2027, you’ll gain hands-on experience and insights into the financial industry while building lasting connections in a globally recognized investment firm.

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.

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.
  • 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.
  • Finance Interest: Strong interest in commodity markets, financial indices, and derivative/futures markets. (Prior knowledge of portfolio construction or risk factors is a big plus, but not mandatory).

What you bring


We are seeking highly motivated students that share our values: 


  • 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.
  • Tenacity: You are driven and self-dependent. When the data doesn’t add up or the first approach fails, you look for another way and you come back with an answer.
  • Foresight: You are a pro-active self-starter with a can-do mentality. You spot what’s coming and you take the initiative to solve it before it becomes a problem.

 

What sets you apart


  • AI literacy: You use AI tools to research, analyze and draft faster, and you double-check their output before you rely on it.
  • Collaboration: You work well with others and build your network. You reach out to colleagues beyond your own team, learn how other parts of the bank work, and share what you find.

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.
  • 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? 


At Vontobel, we strive to create an inspiring environment where you can thrive. Here’s what you can expect: 


  • End-to-End Ownership: The rare opportunity to architect a system from scratch, put it into production, and see your work directly impact daily fund management decisions.
  • 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. 
  • Tools for success: Access the latest technology and resources to excel in your role. 
  • Networking opportunities: join our NextGen community and meet other interns for lunch.  
  • Flat hierarchy and innovation: Collaborate at all levels and contribute to exciting projects in an agile, future-focused work environment. 
  • Paid internship: we offer standardized salary for all early career interns including free lunch.  

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.

Source details

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Pay

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Location & working pattern

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.
Work authorization
- 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?
More source context
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.

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