Data Scientist Quant Risk Modelling Intern Cluster Risk Models & Calculations TalentBank 2026
Which technology & skills are important for us? 👇
- Currently pursuing a Bachelor’s / Master's degree in mathematics, physics, econometrics, data analysis or a related quantitative field, with very good academic results
- Good knowledge of technical languages like R, SAS, Python, SQL
- Good acquaintance of MS Office tools – Excel and Word
Nice to have:
- Have already acquired some professional experience e.g. during internships
- German language B2
TalentBank is an original internship program of the Digital Technology Centre in Poland, which aim is to enable students and graduates to gain professional experience in IT / banking industry. The project can be attended by people who are students or graduates (up to 12 months after graduation). We look for students after second year of technical, mathematical, business, finance, economic or related studies.
📢 Join our team as a Data Scientist / Quant Risk Modelling Intern! 📢
What you will be doing? 👇
What we offer? ✨
- Paid mandate contract for 9 months
- Opportunity to gain experience and start career in our IT departments
- Work in an international environment in the Agile methodology
- Individual approach - flexible working hours, the possibility of combining internship with studies, completing obligatory student internships
- Subsidized meals - Pluxee Lunch Pass card
- Access to the Speexx e-learning language platform
- Access to O’Reilly and Clix (Linkedin Learning) e-learning platform
- Access to psychological and well-being webinars on ICAS
- Internal training program Skills@work (coffee Learning Session – informal quarterly meetings among employees focusing on a given technological or business issue, Trainer Academy – Technical training organized by employees for employees, Guilds – groups focusing on a given technology)
- Support of experienced mentors
- Trainings with Professionals
- Interests groups (f.e. board games, cooking) and integration events
How?
📌 Hybrid on Wersalska 6 / Ogrodowa 8 street (Łódź)
Important! Please add the clause to your CV. 📑 You can find it on the end of the advert.
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Below you can find more information about Commerzbank and the cluster 👇
Commerzbank is a leading international commercial bank with branches and offices in almost 50 countries. The world is changing, becoming digital, and so we are. We are leaving the traditional bank behind us and are choosing to move forward as a digital enterprise. This is exactly why we need talented people who will join us on this journey. We work in inter-locational and international teamwork in agile methodologies.
Cluster Risk Models & Calculations is responsible for:
- Development, roll-out and maintenance of group-wide models for credit risk, operational risk, capital requirements and stress-testing (incl. tight monitoring of model performance). We are model owner and 1st line of defence for model risk.
- Implementation of models in calculation kernels (e.g. rating models, RWA-calculation, C-VaR, LGD-Service, OpRisk and Stress).
- Specification and implementation of rating tools as well as other central risk applications – used mainly by own Front-Ends in the credit process or in online applications.
- Calculation of the economic capital requirements (e.g. Credit Portfolio Model, AMA for OpRisk, business- and physical asset risk - incl. stressed conditions).
- Basis calculation for risk provisions (especially IFRS9 Stage Assignment and Lifetime-EL) and centre of competency for Asset Backed Securities
- IT-solutions for recording, management and calculation of the operational risk, tools for and management of the internal control system.
- Operational stability of the IT-Applications (e.g. wrt incidents or delays) but also optimization of IT-platform as well as minimization of manual processes.
- Tailor-made risk analysis (e.g. scenarios, impact analysis, Ad-Hoc requests). Professional response on customer requests.
- Main contact for regulators, chartered accountant and internal auditors concerning model development and implementation.
- Implementation of important regulatory and strategic initiatives: e.g. implementation and fulfillment of new regulatory requirements for AIRB rating models, acceleration of rating calculation, enablement of digital credit journey, improvement of credit decision and streamlining of credit processes.