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About the Role

The purpose of this position is to contribute to the academic excellence and strategic development of Gisma University of Applied Sciences through high-quality teaching, impactful research, and active participation within the academic community. The successful candidate will be instrumental in shaping and delivering innovative programmes in Fintech, Quantitative Finance, and Algorithmic Strategy, with a focus on integrating automated trading models, blockchain architectures, and decentralized financial systems into the curriculum. This role offers a unique opportunity to engage with an international student body, collaborate with industry and research partners, and influence the evolution of data-driven finance education in a dynamic, interdisciplinary environment.

Responsibilities

Module responsibility and teaching of Gisma’s Bachelor and Master programmes, particularly in the fields of Digital Finance, Algorithmic Strategy, Fintech Innovation, Quantitative Financial Analysis, and decentralized finance architectures, as well as examination, assessments, and student supervision.
Active participation in programme development, quality assurance, and the integration of relevant applied tools and methodologies into the curriculum.
Design and continuous update of contemporary teaching and learning materials aligned with advancements in the sector.
Initiate, expand, and maintain cooperation with partners in industry and research organisations, particularly in Fintech hubs, quantitative trading firms, digital banking divisions, and financial technology start-ups.
Participation in national and international accreditation procedures, as required.
Active engagement in academic administration and committee work.
Further development of a personal and institutional research profile in Digital Finance, Algorithmic Trading Systems, Fintech Ecosystems, or Asset Pricing and Market Microstructure in digital markets, publication of results in high-quality journals, and engagement in public dissemination.
Support outreach activities, including student recruitment events and promotion of related business study pathways.

Requirements

Fulfil all requirements according to Section 41 ff of the Brandenburg Higher Education Act (BbgHG).
Completed university studies in a relevant discipline such as Quantitative Finance, Financial Engineering, Computational Economics, Fintech, or Business Administration with a specialized finance focus.
Proof of extraordinary qualification for scientific work in the form of an outstanding doctorate and/or a strong record of high-impact, peer-reviewed publications.
A minimum of three years of qualified professional experience, including at least two years outside a university environment, gained after a master´s degree or equivalent.
Proven university-level teaching experience, with competence in blended, online, and interactive learning methodologies.
Student evaluations should reflect excellent pedagogical aptitude.
A strong affinity for cutting-edge methodologies, software, and tools, specifically related to algorithmic trading platforms, financial programming (Python/R for finance), and decentralized blockchain architectures.
Fluency in English for teaching and research purposes.
International academic or industry experience is highly valued.
A publication record in fields matching the professorship scope or relevant digital ecosystems.
Experience in developing and leading research projects, ideally with success in acquiring third-party funding.
Innovative perspectives for advancing research and curriculum in the specified professorship domain.
Experience in curriculum development and accreditation processes is an asset.

Skills

Fintech
Quantitative Finance
Algorithmic Strategy
Automated trading models
Blockchain architectures
Decentralized financial systems
Digital Finance
Quantitative Financial Analysis
Decentralized finance architectures
Blended learning methodologies
Online learning methodologies
Interactive learning methodologies
Algorithmic trading platforms
Financial programming (Python/R for finance)
Decentralized blockchain architectures

Location

Germany

Work Type

Full-time

Experience Level

Minimum of three years of qualified professional experience, including at least two years outside a university environment, gained after a master´s degree or equivalent.
Proven university-level teaching experience

Education Level

Completed university studies in a relevant discipline such as Quantitative Finance, Financial Engineering, Computational Economics, Fintech, or Business Administration with a specialized finance focus.
Outstanding doctorate

Benefits

Continuous support for your personal and professional development.

About the Company

GUS Germany GmbH (GGG) is an innovative and dynamic network of world-class higher education institutions that is committed to empowering students with the knowledge and skills they need to make a positive impact in the world.
Our mission is to foster visionary leaders who can drive meaningful change for society.
With a strong presence in Germany, Europe, and beyond, GGG is made up of several well-known brands, including UE (University of Europe for Applied Sciences), BSBI (Berlin School of Business & Innovation), htk academy, and GISMA University for Applied Sciences.
Our thriving student body of over 10,000 learners across our institutions benefits from a wide range of academic disciplines, such as business, technology, data science, engineering, sports, and fine arts.
As part of the Global University Systems (GUS) network, which comprises over 48 universities across Europe, the USA, Australia, Asia, and South America, with over 87,000 students, we are dedicated to providing exceptional learning experiences to our students.
At GGG, we are committed to creating a supportive and inclusive work environment where everyone can thrive.
Our employees play a vital role in ensuring that our students succeed at every step of their career path.
Join our team and be a part of a culture of innovation and excellence in education.
www.gusgermany.com

Equal Opportunity

As an employer, we are committed to equal opportunity and support for minorities.
We do not discriminate based on ethnic origin, skin colour, religion, sexual orientation, gender identity, national origin, disability or legally protected status.