Quantitative Intern at ING Risk Hub Warsaw

Are you a 4th or 5th-year 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

(skills must have)

• Currently in your 4th or 5th year of study or a recent graduate in Econometrics, Economics, Statistics, Mathematics, Physics, or a related field.

• Eagerness and ability to learn quickly and effectively.

• Knowledge of statistical modeling, data science, or financial engineering.

• Experience with statistical programming languages (SAS, Python, or R).

• Proficiency in written and spoken English (at least C1 level). 

You'll get extra points for

(skills nice to have)

• 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, problem-solving, communication and execution skills,

• An independent, creative and pro-active mind-set,

• The ability to challenge the status quo,

• Great team player.

Your future duties:

• 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 Tech 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?

• Hands-On Experience: Work on real projects and gain practical experience.

• Mentorship: Learn from industry experts and receive guidance throughout your internship.

• Career Opportunities: High-performing 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!