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You will be updated with latest job alerts via emailAre you a 4th or 5thyear student or a recent graduate with a passion for numbers and data Join us at ING Risk Hub Warsaw as a Quantitative Intern and dive into the world of risk modeling and data science!
We are looking for you if you:
Are currently in your 4th or 5th year of study or a recent graduate in Econometrics Economics Statistics Mathematics Physics or a related field
Have eagerness and ability to learn quickly and effectively
Have knowledge of statistical modeling data science or financial engineering
Have an experience with statistical programming languages (SAS Python or R)
Are proficient in written and spoken English (at least C1 level).
Youll get extra points for:
Basic knowledge of credit risk (PD LGD EAD); or
Basic knowledge of market risk (VaR Black Scholes Monte Carlo); or
Basic knowledge of data processing (ETL SQL Hadoop); or
Basic knowledge of ESG (Physical/Transition Climate risk).
Additional skills:
Strong analytical problemsolving communication and skills
An independent creative and proactive mindset
The ability to challenge the status quo
Great team player.
Your responsibilities:
Data processing model development or model validation 70
Gaining knowledge and experience in the credit risk market risk data science or ESG models 20
Interact with mentors 10
Information about Internship program
During the 4 months at ING Hubs Poland in Risk Hub you will get a chance to work with experienced modelers validators and data scientists from Warsaw and Amsterdam. You will join a project on one of selected topics from models development regulations validation and data processing. The best of students will be offered with a work contract.
Choose your path
You can select from various teams and risk types allowing you to tailor your experience to your interests. You can choose between three tribes:
1 Data & Tools Responsible for data collection and preparation process as well as building the tools supporting the modelling and validation of models.
2 Modelling Builds new models redevelops existing ones and takes care of monitoring of the implemented models.
3 Model Risk Management Ensures the accuracy reliability and robustness of models by conducting thorough model validations.
Within each tribe you can choose a key risk type: Credit Risk Market Risk Data Science or ESG.
Why Join Us
HandsOn Experience: Work on real projects and gain practical experience.
Mentorship: Learn from industry experts and receive guidance throughout your internship.
Career Opportunities: Highperforming interns may receive job offers to join our team.
Ready to kickstart your career in quantitative risk management
Apply now and be part of our dynamic team at ING Risk Hub Warsaw!
Required Experience:
Intern
Full-Time