Professor (m/f/d) for Digital Finance and Algorithmic Strategy

GUS Germany GmbH; Germany (OH); On-site; USD 69,662 - 92,883; Full time

Benefits offered by this job

Dynamic and international team

Support for personal and professional development

Opportunity to lead academic initiatives

Job summary

GUS Germany GmbH is seeking a dynamic academic professional for a teaching and research role in Digital Finance at Gisma University. The successful candidate will drive innovative programmes in Fintech and Algorithmic Strategy, and engage with a global student body.

Dedicated to academic excellence, the position requires proven teaching experience, a strong publication record, and partnerships in industry. Join us to shape the future of finance education in a collaborative setting.

Qualifications

• PhD or equivalent in Quantitative Finance, Financial Engineering, or relevant fields.
• A minimum of three years professional experience outside academia.
• Proven university-level teaching experience with excellent evaluations.

Responsibilities

• Lead module responsibility and teaching for Bachelor and Master programmes.
• Engage in academic administration and committee work.
• Develop and maintain academic partnerships in the finance sector.

Skills

Teaching experience

Algorithmic trading platforms

Financial programming (Python/R)

Decentralized blockchain architectures

Fluent English

Education

Completed university studies in relevant disciplines

PhD or strong publication record

Tools

Peer-reviewed publications

Accreditation processes

Job description

Your Responsibilities

The opportunity: 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.

Key Activities & 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.

Your profile

For an appointment, you must fulfil all requirements according to Section 41 ff of the Brandenburg Higher Education Act (BbgHG). See the following link: §41 ff. BbgHG. In addition, you demonstrate:

• 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.

Why us?

• The opportunity to work with a great team in a dynamic and international culture.
• The opportunity to play a leading role in launching new campus‑wide initiatives and academic events as part of our strategic growth.
• The opportunity to develop and implement new ideas and concepts that will contribute to the development and reputation of the institution.
• Continuous support for your personal and professional development.
• As a rapidly growing institution, the University values the contributions of its faculty and recognises that sustained engagement, performance, and scholarly activity are integral to advancing the institution’s strategic objectives and shaping its future academic direction.

Interested? Then we look forward to hearing from you. Please share your application to: Jobs at Gisma. Your application should include the following documents: CV, Cover Letter and Reference, Certificates, Industry letters, Publications list.

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.