Lead Data Scientist for Wholesale Banking Credit Risk Solutions

4 dni temu


Warszawa, Mazovia, Polska TN Poland Pełny etat

TN Poland is looking for an experienced Lead Data Scientist for Wholesale Banking Credit Risk Solutions to join our team.

About the Job:

The successful candidate will be responsible for managing squads of data professionals, including data developers, analysts, business analysts, statistical programmers, report developers, and data scientists. They will set vision and goals for the Wholesale Bank Credit Risk Modelling Data Automation product, designing and implementing strategic flows via data marts, data lakes, and data products, automating data disclosure for modelers and validators, and increasing efficiency of data delivery processes.

The ideal candidate will have at least 3 years of experience with data solutions like data warehousing, data lakes, data marts, reporting, preferably within the risk domain. They will also have a quantitative background, with a MSc or PhD degree in (Financial) Econometrics, Financial Mathematics, Quantitative Financial Economics, Mathematics, Statistics, Physics, and experience with ML or statistical modelling.

The role requires strong analytical and problem-solving capabilities, as well as experience with the agile way of working. The successful candidate will be a pro-active sparring partner/advisor to Senior Management, naturally collaborative, and able to listen and invest in others to achieve common goals.

Delivered data, tools, and reports are core to the success of ING, and include data for IRB and IFRS9 models (PD, LGD, EAD) for retail and wholesale portfolios, as well as non-regulatory models, multiple reports within CRO domains, tools that automate and streamline model monitoring and model development.



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