What are the working arrangements and expected duration for the Intern - Quantitative Analyst or Data Engineer at RiskHub Warsaw (Risk Hub Summer Internship Programme) role?

This position is a full-time, structured as a on-site role, with an expected duration of 4 months.

What educational background or degree level is required for the Intern - Quantitative Analyst or Data Engineer at RiskHub Warsaw (Risk Hub Summer Internship Programme) at ING?

Candidates are generally expected to be holding or pursuing the following degree levels: Bachelor.

Does ING provide visa sponsorship or assistance for international applicants?

Regarding visa assistance and sponsorship for this role, the official status is currently listed as: Not disclosed.

Intern - Quantitative Analyst or Data Engineer at RiskHub Warsaw (Risk Hub Summer Internship Programme)

Q: How do I apply for the Intern - Quantitative Analyst or Data Engineer at RiskHub Warsaw (Risk Hub Summer Internship Programme) position at ING and track my application?

We provide a direct link to the official application portal. You can apply directly here . Additionally, you can easily track this and other applications by clicking the bookmark icon to save it to your YGI Kanban board .

ING

Found 1 month ago

Location

Warszawa, Poland

Duration (Months)

4 Months

Time

Full-time

Work Mode

On-site

Salary

Not disclosed

Visa Help

Not disclosed

Last Verified

1 month ago

Education

Bachelor

Skills & Qualifications

Technical Skills

statistical modelling
data science
financial engineering
programmers skills
SAS
Python
R
SQL

Soft Skills

analytical skills
problem-solving skills
communication skills
execution skills
independent
creative
pro-active mind-set
team player

Job Description

Data processing or development / market risk models Gaining knowledge and experience in the credit or market risk models Interact with mentors

Requirements

3rd, 4th or 5th year student or graduate in the field of Econometrics, Economics, Statistics, Mathematics, Physics, Data Science or similar
knowledge of statistical modelling, data science or financial engineering or you’ve got strong programmers skills
experience with statistical programming (SAS, Python or R) or you’ve got experience with using SQL
strong analytical, problem-solving, communication and execution skills, an independent, creative and pro-active mind-set and you are a team player
willingness and ability to learn quickly and effectively
good written and spoken English (at least B2 level)
available in June-September 2026

Quantitative Finance

Quantitative Analysis

Languages

English

Nice to Haves

Basic knowledge of credit risk (PD, LGD, EAD)
Basic knowledge of market risk (VaR, Black Scholes, Monte Carlo)
Basic knowledge of data processing (ETL, SQL, Hadoop)
Basic knowledge of data structures
Basic knowledge of database solutions
Basic knowledge of data warehouse solutions

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