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Credit Risk Senior Associate - Modelling (Retail Mortgage) - Relocation to Berlin

at N26

Back to all Data Science / AI / ML jobs
N26 logo
FinTech

Credit Risk Senior Associate - Modelling (Retail Mortgage) - Relocation to Berlin

at N26

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 19 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Berlin
Country
Germany

Senior-level modelling role focused on retail mortgage credit risk within a fast-growing fintech. You will develop, validate and maintain predictive credit-risk models and analytics to support lending decisions and portfolio management. The role requires close collaboration with risk, product and engineering teams to deploy models into production and monitor performance. This position is based in Berlin and includes relocation support.

N26 uses certain cookies and similar technologies (together ‘Cookies’) to offer our services to you reliably and securely. These Cookies are placed by default when you visit our websites and do not require your consent. With your consent, we and our partners use additional Cookies to improve the performance of our websites, to provide a personalised banking experience, and to deliver more relevant content and advertisements to you on the internet. To do this, we collect information about your devices, your usage behaviour on our websites and your interaction with our ads. If you select “Accept all”, you consent to our usage of additional Cookies and agree that we may share the information collected with our partners, some of which may be located outside of the EU, such as in the USA. The USA is a country that - in the terms of EU Regulation 2016/679 (‘GDPR’) - does not provide an adequate level of protection of personal data. If you select ‘Reject all’ or the ‘X’ button at the top right end of this banner, the default settings are left unchanged. Please select “Cookie preferences” to individually manage your consent. You can revoke your consent at any time. More information can be found in our cookie policy.

Credit Risk Senior Associate - Modelling (Retail Mortgage) - Relocation to Berlin

at N26

Back to all Data Science / AI / ML jobs
N26 logo
FinTech

Credit Risk Senior Associate - Modelling (Retail Mortgage) - Relocation to Berlin

at N26

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 19 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Berlin
Country
Germany

Senior-level modelling role focused on retail mortgage credit risk within a fast-growing fintech. You will develop, validate and maintain predictive credit-risk models and analytics to support lending decisions and portfolio management. The role requires close collaboration with risk, product and engineering teams to deploy models into production and monitor performance. This position is based in Berlin and includes relocation support.

N26 uses certain cookies and similar technologies (together ‘Cookies’) to offer our services to you reliably and securely. These Cookies are placed by default when you visit our websites and do not require your consent. With your consent, we and our partners use additional Cookies to improve the performance of our websites, to provide a personalised banking experience, and to deliver more relevant content and advertisements to you on the internet. To do this, we collect information about your devices, your usage behaviour on our websites and your interaction with our ads. If you select “Accept all”, you consent to our usage of additional Cookies and agree that we may share the information collected with our partners, some of which may be located outside of the EU, such as in the USA. The USA is a country that - in the terms of EU Regulation 2016/679 (‘GDPR’) - does not provide an adequate level of protection of personal data. If you select ‘Reject all’ or the ‘X’ button at the top right end of this banner, the default settings are left unchanged. Please select “Cookie preferences” to individually manage your consent. You can revoke your consent at any time. More information can be found in our cookie policy.