Industrial PhD at SuperFly Quants

Danske Bank Group; København; On-site; DKK 420,000 - 680,000; Full time

Job summary

Danske Bank is seeking a candidate with a recent master’s degree and 0–2 years of experience to advance a quantum-inspired pricing project. The role emphasizes Python programming and potential C++ use, within a cross-disciplinary quant team at Danske Bank in Copenhagen.

Applicants should show strong quantitative skills and an ability to learn new theory while contributing to practical financial applications and knowledge sharing. Travel to conferences may be supported.

Qualifications

• Master's degree in a relevant field (Physics/Math/Engineering) and strong quantitative background.
• Programming experience in Python is required; C++ is a plus.
• Familiarity with tensor network methods or related quantum-inspired approaches is desirable.

Responsibilities

• Contribute to practical application of tensor network methods in Danske Bank's pricing engine.
• Communicate complex concepts clearly to non-specialists and share knowledge within the quant team.

Skills

Python

C++

Tensor networks

Quantitative finance

Education

Master's degree in Physics/Math/Engineering

Tools

Git

Job description

Danske Bank’s cross-asset quantitative infrastructure, anchored by the award-winning Superfly analytics platform, enables real-time front-office pricing, trading and risk management across asset classes.

To remain at the forefront of quantitative finance, we continuously explore new ways to enhance our pricing engine. In a series of papers, Michael Kastoryano and his team at the University of Copenhagen have applied tensor network methods to classical high-dimensional asset pricing problems, achieving promising results. The aim of this project is to extend these findings and apply them in a practical setting within Danske Bank.

What we look for

This is an interdisciplinary project, and we welcome applications from candidates with a background in quantum physics, including theoretical physics, computational physics or quantum information theory, as well as from candidates with a background in mathematics or mathematics-economics.

We do not expect candidates to be experts in all areas from the outset. However, applicants should demonstrate a strong interest in developing an understanding of the parts of the theoretical foundation that may be new to them.

The ideal candidate has recently completed a master’s degree and has up to 1-2 years of professional experience. Strong programming skills in Python are required, and experience with C++ is considered an advantage.

As quantum and quantum-inspired algorithms are still emerging areas within Danske Bank, it would be valuable if the candidate is able to communicate fundamental concepts clearly to non-specialists and contribute to knowledge sharing within the quant team.

We are committed to building an inclusive environment and encourage applications from candidates with diverse backgrounds, perspectives and experiences. If the project appeals to you but you do not meet every qualification, we still encourage you to apply.

Further information

The chosen candidate will receive a travel allowance to help cover participation in relevant conferences and summer schools.

The company advisers will be Maximilian Seifert and Thomas Norman Dam. For enquiries, please contact Thomas Norman Dam at [e-mail].

The university adviser will be Michael Kastoryano, who can be contacted at [e-mail].

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About Us

Danske Bank is a Nordic bank with bridges to the world around us. For 150 years, we have supported people and businesses in releasing their potential. A career with us is an opportunity to join a community of 22,000 colleagues in a culture where we are committed to Teaming Up, Owning It and Being Open. Together, we are on a journey to transform Danske Bank into a better bank. For our customers, our employees and the societies around us.

Job Info

• Job Identification 24187
• Job Category Technology
• Job Schedule Full time