Research

Find out more about our research including published papers, our partnerships with academia and opportunities for interns or placements.

At Caspian, we invest heavily in both internal and external research to further support the development of our AI technology solutions that are underpinned by advanced data science.

This includes publishing papers, building relationships with research organisations, knowledge transfer partnerships and opportunities for internships and studentships.

Published Papers

Following is a selection of our previously published research and white papers.

Bayesian stress testing of machine learning models

Selected to appear in the proceedings of the International Joint Conference of Neural Networks (IJCNN) 2020, part of the World Congress on Computational Intelligence (WCCI). In the paper we present a Bayesian framework to stress test machine learning solutions. The framework is generic and agnostic to the modelling methods used.

Trusting ML in Anti Money Laundering

Wherever machine learning is used in AML, there will be a model, and that model will carry risks that must be managed. This paper provides a comprehensive list of risks and mitigations that should be considered when managing model risk management.

Beyond the topics

In collaboration with Durham University’s Dr Noura Al Moubayed and published in the journal PeerJ Computer Science, this research is part of Caspian initiatives focused on natural language processing. The proposed approach has achieved very competitive performance to the state of the art with significantly less memory or computational expense.

PAPER: Beyond the topics – how deep learning can improve the discriminability of probablistic topic modelling

AML in a COVID-19 World

Our whitepaper in collaboration with Nasdaq Technologies shines a light on the monitoring of money laundering during the COVID-19 pandemic and highlights the key issues that investigation teams in tier-one banks need to consider.

PAPER: AML Monitoring in a COVID-19 World


Knowledge Transfer Partnerships

Knowledge Transfer Partnerships (KTP) provide us with opportunities to work with world leading academic teams and access advanced research that feeds into the further development of our award-winning AML Investigator solution.

Durham Universtity KTP

Knowledge Transfer Partnership with Durham University

We currently have a partnership in place with Durham University, one of the world’s leading research led universities, ranked 78th in the QS world rankings. We are working with the university’s Department of Computer Science (which itself is ranked 5th in the UK’s Complete University Guide) and are supported by Dr Noura Al-Moubayed, the academic project lead and Assistant Professor at Durham University specialising in Machine Learning and Natural Language Processing.

The collaboration with Durham university provides the Caspian team with access to discipline specific expertise that supports our work to continuously evolve and remain at the forefront of innovation in AI driven automated Anti-Money Laundering technology. The real-life financial crime problems we solve have wide reaching consequences both in a social and economic sense. The project focuses on automating the natural language explanations that our machine learning solutions output to help investigation teams in tier one banks become more effective and efficient.

Details regarding the KTP Associate opportunity can be found here.


PhD Studentship

Caspian have successfully secured a PhD studentship funded by the European Regional Development Fund. As part of the Durham University Intensive Industrial Innovation Programme, this fully funded opportunity provides for a PhD studentship that will be supported in their research by the data science team at Caspian.

The programme is designed to encourage innovation by supporting businesses (particularly in science and engineering) with a dedicated PhD research student for three years, as well as providing access to senior academic researchers and university research facilities.

With a focus on recent advances in deep learning, causal inference and natural language processing, the PhD provides the Caspian team with a way to think strategically and differently about about research objectives whilst having a material impact on our next generation of explainable machine learning technology.


Academic internships and placements

We regularly create opportunities for university students to take up short term internships and full year placements at Caspian.

Working with leading universities, these programmes give students of computer science and mathematics, a real-world opportunity to supplement their learning through participating in specific projects and shadowing the day-to-day operations of the Caspian data science team.

This provides extensive opportunity to test new ideas through proof-of-concept projects with the students which investigate and validate the potential of new developments to be worked into technologies within Caspian technology.


Enquiries and further resources

To enquire about research collaboration or partnership opportunities with Caspian, please contact our Chief Data Science Officer, Bashar Awwad Sheikh Hassan.

Our Resources page is also great way to follow updates from the Caspian team and includes our blog, news and events covering subjects from Data Science and AI to Financial Crime and Regulation.