Commerzbank AG

Jobs

Business environment

Group environment
International environment

Benefits

Flexible working, 30 days vacation (and many other special vacation days), employee conditions, professional training and development, capital-forming benefits, friendly working environment, diverse tasks, work-life balance

Major enterprise more than 1000 employees

founding year

1870

Language competence required

Deutsch: Self-guided speech application (B2)
Expert language skills (C1)
(Approximate) Native language skills (C2)
Advanced language use (B1)
Englisch: Elementary speech application (A1 / A2)
Advanced language use (B1)
Self-guided speech application (B2)
Expert language skills (C1)
(Approximate) Native language skills (C2)
Further language skills are not required

Education qualifications:

We are open to all degrees

We are specifically looking for the following location(s)

Remote:

Yes

We are looking for employees with the following professional & functional competence profile

Data Analytics
Entry (expertise self-taught) – 07b
Entry (after studies with < 3 years of work experience) – 07d
Entry (after further training) – 07c
Management (without leadership experience) – 07f
Management (with leadership experience) – 07g
Lateral entry – 07a
Professional (experience > 3 years) – 07e

Data Science & Artificial Intelligence
Management (with leadership experience) – 08g
Entry (after further training) – 08c
Entry (expertise self-taught) – 08b
Professional (experience > 3 years) – 08e
Management (without leadership experience) – 08f
Lateral entry – 08a
Entry (after studies with < 3 years of work experience) – 08d

Digital Finance / Blockchain
Entry (after further training) -42c
Entry (expertise self-taught) -42b
Management (without leadership experience) -42f
Management (with leadership experience) -42g
Lateral entry -42a
Entry (after studies with < 3 years of work experience) -42d
Professional (experience > 3 years) -42e

Digital Marketing & Sales
Entry (after sfurther training) – 10c
Entry (expertise self-taught) – 10b
Management (without leadership experience) – 10f
Management (with leadership experience) – 10g
Lateral entry – 10a
Entry (after studies with < 3 years of work experience) – 10d
Professional (experience > 3 years) – 10e

Digital transformation (innovations)
Entry (after studies with < 3 years of work experience) – 11d
Entry (after further training) – 11c
Management (without leadership experience) – 11f
Management (with leadership experience) – 11g
Lateral entry – 11a
Entry (expertise self-taught) – 11b
Professional (experience > 3 years) – 11e

Finance / Taxation
Management (with leadership experience) -45g
Entry (after further training) -45c
Entry (expertise self-taught) -45b
Professional (experience > 3 years) -45e
Management (without leadership experience) -45f
Lateral entry -45a
Entry (after studies with < 3 years of work experience) -45d

Humanities
Entry (expertise self-taught) –15b
Entry (after further training) –15c
Management (without leadership experience) –15f
Management (with leadership experience) –15g
Lateral entry –15a
Entry (after studies with < 3 years of work experience) –15d
Professional (experience > 3 years) –15e

Social sciences
Management (with leadership experience) – 16g
Entry (after further training) –16c
Entry (expertise self-taught) – 16b
Professional (experience > 3 years) – 16e
Management (without leadership experience) – 16f
Lateral entry – 16a
Entry (after studies with < 3 years of work experience) – 16d

Computer science
Entry (after further training) –17c
Entry (expertise self-taught) – 17b
Management (without leadership experience) – 17f
Management (with leadership experience) – 17g
Lateral entry – 17a
Entry (after studies with < 3 years of work experience) – 17d
Professional (experience > 3 years) – 17e

Internet of Things (IoT)
Management (with leadership experience) – 19g
Entry (after further training) – 19c
Entry (expertise self-taught) – 19b
Professional (experience > 3 years) – 19e
Management (without leadership experience) – 19f
Lateral entry – 19a
Entry (after studies with < 3 years of work experience) – 19d

IT Security
Management (with leadership experience) – 20g
Entry (after further training) – 20c
Entry (expertise self-taught) – 20b
Professional (experience > 3 years) – 20e
Management (without leadership experience) – 20f
Lateral entry – 20a
Entry (after studies with < 3 years of work experience) – 20d

Communication / PR / media / linguistics and cultural studies
Entry (after further training) – 21c
Entry (expertise self-taught) – 21b
Management (without leadership experience) – 21f
Management (with leadership experience) – 21g
Lateral entry – 21a
Entry (after studies with < 3 years of work experience) – 21d
Professional (experience > 3 years) – 21e

Mathematics
Entry (expertise self-taught) – 23b
Entry (after further training) – 23c
Management (without leadership experience) – 23f
Management (with leadership experience) – 23g
Lateral entry – 23a
Entry (after studies with < 3 years of work experience) – 23d
Professional (experience > 3 years) – 23e

Sustainability / corporate social responsibility (CSR)
Management (with leadership experience) – 27g
Entry (after further training) – 27c
Entry (expertise self-taught) – 27b
Professional (experience > 3 years) – 27e
Management (without leadership experience) – 27f
Lateral entry – 27a
Entry (after studies with < 3 years of work experience) – 27d

Natural sciences (other)
Entry (after further training) – 28c
Entry (expertise self-taught) – 28b
Professional (experience > 3 years) – 28e
Management (without leadership experience) – 28f
Lateral entry – 28a
Entry (after studies with < 3 years of work experience) – 28d

Online Marketing / Social Media Management
Management (with leadership experience) – 29g
Entry (after further training) – 29c
Entry (expertise self-taught) – 29b
Professional (experience > 3 years) – 29e
Management (without leadership experience) – 29f
Lateral entry – 29a
Entry (after studies with < 3 years of work experience) – 29d

Physics
Entry (expertise self-taught) – 30b
Entry (after studies with < 3 years of work experience) – 30d
Entry (after further training) – 30c
Management (without leadership experience) – 30f
Management (with leadership experience) – 30g
Lateral entry – 30a
Professional (experience > 3 years) – 30e

Politics / political science
Entry (after further training) – 31c
Entry (expertise self-taught) – 31b
Professional (experience > 3 years) – 31e
Management (without leadership experience) – 31f
Management (with leadership experience) – 31g
Lateral entry – 31a
Entry (after studies with < 3 years of work experience) – 31d

Software engineering / software development / coding
Management (with leadership experience) – 33g
Entry (afterfurther training) – 33c
Entry (expertise self-taught) – 33b
Professional (experience > 3 years) – 33e
Management (without leadership experience) – 33f
Lateral entry – 33a
Entry (after studies with < 3 years of work experience) – 33d

Business Informatics
Management (with leadership experience) -50g
Entry (after further training) -50c
Entry (expertise self-taught) -50b
Professional (experience > 3 years) -50e
Management (without leadership experience) -50f
Lateral entry -50a
Entry (after studies with < 3 years of work experience) -50d

Jurisprudence
Entry (expertise self-taught) – 34b
Entry (after studies with < 3 years of work experience) – 34d
Entry (after further training) – 34c
Management (without leadership experience) – 34f
Management (with leadership experience) – 34g
Lateral entry – 34a
Professional (experience > 3 years) – 34e

Robotics
Entry (after further training) – 35c
Entry (expertise self-taught) – 35b
Management (without leadership experience) – 35f
Management (with leadership experience) – 35g
Lateral entry – 35a
Entry (after studies with < 3 years of work experience) – 35d
Professional (experience > 3 years) – 35e

Strategy & Innovation
Entry (after further training) – 36c
Entry (expertise self-taught) – 36b
Professional (experience > 3 years) – 36e
Management (without leadership experience) – 36f
Management (with leadership experience) – 36g
Lateral entry – 36a
Entry (after studies with < 3 years of work experience) – 36d

Distribution & trade
Management (with leadership experience) – 38g
Entry (after further training) – 38c
Entry (expertise self-taught) – 38b
Professional (experience > 3 years) – 38e
Management (without leadership experience) – 38f
Lateral entry – 38a
Entry (after studies with < 3 years of work experience) – 38d

Wirtschaftsinformatik
Management (with leadership experience) – 41g
Entry (expertise self-taught) – 41b
Entry (after further training) – 41c
Entry (after studies with < 3 years of work experience) – 41d
Professional (experience > 3 years) – 41e
Management (without leadership experience) – 41f

Economy / administration
Entry (expertise self-taught) – 40b
Entry (after further training) – 40c
Management (without leadership experience) – 40f
Management (with leadership experience) – 40g
Lateral entry – 40a
Entry (after studies with < 3 years of work experience) – 40d
Professional (experience > 3 years) – 40e

We are looking for employees for the following fields of activity

Administration
Agile / Scrum
Analysis
Consultation / Consulting
Business Development
Compliance
Controlling & Planning
Customer Service & Customer Care
Digital Transformation
Purchasing / Procurement
Finances
Innovation
IT / Information Technology
Management
Sustainability / Corporate Social Responsibility (CSR)
Product Management
Project Management
Process Planning / Process Management
Quality assurance / Quality management
Law
Revision
Processing & Administration
Strategy & Planning
Supply Chain Management
Miscellaneous / Other
Statistics

We are looking for employees for the following specific topics and specialist areas

Content participation

Patricia Maria Vieten
Data Scientist, Commerzbank AG

Career-MeetUpEN

18/10/2024 12:15 PM - 01:00 PM

MeetUp H.15 | Halle / hall 3

Thread / thematic series: Science, Engineering, Digitalization & Technology

Joblevel: Career entry, Professional

Beh{AI}nd the scenes: A tour on how we work in Commerzbank on AI Innovation and Trustworthiness
AI brings many opportunities for innovation to many industries but banks in particular. However, it also comes with new risks which we need to tackle. Hence building models is crucial but also a well-functioning model validation is key to long-term success and trustworthy AI implementation. Meet two #WomeninTech to hear more about how we take up the challenge in #teamyellow at Commerzbank.

Details about the speaker Patricia Maria Vieten
Vita: Patricia Maria Vielen ist Data Scientist im Bereich Sales Analytics und Mitglied der KI Strategie des Konzerns. Nach dem Abschluss ihres Physik-Studiums in Kooperation mit dem Deutschen Krebsforschungszentrum in Heidelberg begann Patricia im April 2022 ihre Tätigkeit in den Data Analytics Bereichen der Commerzbank.

Anastasiia Kameneva
Product Owner, Commerzbank AG
linkedin

Career-MeetUpEN

17/10/2024 04:15 PM - 05:00 PM

MeetUp H.43 | Halle / hall 3

Thread / thematic series: Career & Job Application

Joblevel: Career entry, Professional, Leading position, Lateral entry

Building Careers Across Different Cultures
In this talk, we will explore how to develop your career and build professional relationships in different cultural contexts. Discover key strategies for understanding cultural differences, effective communication, trust-building, and creating multi-cultural teams

Details about the speaker Anastasiia Kameneva
Vita: Anastasiia Kameneva has over 8 years of IT experience in various roles at international companies. She’s worked with Societe Generale, Microsoft, Accenture, and Commerzbank on a range of IT projects across different industries. Since 2023, she’s been a Product Owner in Group Risk Control

Ratul Ahmed
Divisional Board Member Validation, Commerzbank AG
linkedin

Career-MeetUpEN

17/10/2024 03:15 PM - 04:00 PM

MeetUp H.43 | Halle / hall 3

Thread / thematic series: Science, Engineering, Digitalization & Technology

Joblevel: Career entry, Professional

Beh{AI}nd the scenes: A tour on how we work in Commerzbank on AI Innovation and Trustworthiness
AI brings many opportunities for innovation to many industries but banks in particular. However, it also comes with new risks which we need to tackle. Hence building models is crucial but also a well-functioning model validation is key to long-term success and trustworthy AI implementation. Meet two #WomeninTech to hear more about how we take up the challenge in #teamyellow at Commerzbank.

Details about the speaker Ratul Ahmed
Vita: Ratul Ahmed leitet in der Commerzbank seit Oktober 2023 den Bereich „Validation“ in Group Risk Management. Die studierte Physik- und Astrophysikerin leitete zuletzt seit 2021 bei der Nordea Bank den Bereich Market Risk and Valuation Risk Management. Zuvor war sie 20 Jahre bei der Commerzbank tätig, wo sie ihre Karriere 2001 als Risikomanagerin begann. Sie war unter anderem im Bereich Market Risk an den Standorten Frankfurt und London tätig. In dieser Zeit setzte sich Ratul auch dafür ein, in der Belegschaft Diversität zu fördern und war Initiatorin der Initiative COLOURFUL GRM. Diese hat das Ziel, Vielfalt und partnerschaftliche Zusammenarbeit in Group Risk Management auszubauen und zu erhalten. In ihrer Freizeit fährt sie gerne Fahrrad oder nimmt an Fallschirmsprung-Weltmeisterschaften teil (Bronzemedaillengewinnerin der Weltmeisterschaft 2014).

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