Lecturer in Financial Computing

About us

UCL Computer Science is a global leader in research, teaching and innovation in computer science. Home to some of the world’s most influential and creative researchers, the department is at the forefront of tackling society’s most complex challenges while educating the next generation of computer scientists. We are the highest-ranked department in England and second in the UK for computer science research power in the most recent REF, reflecting the real-world impact and excellence of our work.

Our teaching is equally distinguished, with a top 5 UK ranking in the QS World University Subject Rankings 2026. We are equally proud of our work in EDI and outreach, promoting equity, diversity and inclusion across our community and aiming to inspire, empower and engage people from all backgrounds.

The Financial Computing & Analytics Group is a leading research hub at the intersection of finance, data science, and technology. The group specialises in quantitative finance, machine learning, blockchain, and complex economic systems modelling, with strong ties to academia, industry, and policymakers. It also leads the UCL Centre for Blockchain Technologies and plays a key role in interdisciplinary collaborations across UCL and beyond.

About the role

The post holders will teach at undergraduate and graduate levels in areas allocated by the Head of Department or Director of Studies and carry out research and produce publications and other research outputs, in line with personal objectives agreed in the staff review process. They will also supervise or assist with supervision of undergraduate, taught graduate (Masters) or research graduate (MPhil/MRes/PhD/EngD) students. They will contribute to the development, planning and implementation of a high-quality curriculum, and to the development of learning materials. Additionally, they will be expected to secure research funding and actively engage in departmental, faculty and UCL-wide initiatives, working groups or committees.

About you

The successful candidate must hold a PhD in a relevant field (e.g., Computer Science, Physics, Mathematics, Economics) and demonstrate expertise in financial computing, quantitative finance, machine learning, complex systems modelling, or blockchain technologies. They should have a strong research track record, evidenced by high-quality publications and research outputs, as well as the ability to secure external research funding. The role requires excellent teaching skills, with experience in curriculum development, student supervision, and course delivery at undergraduate and postgraduate levels. Strong interpersonal, oral, and written communication skills are essential, along with the ability to work collaboratively in an interdisciplinary environment. A commitment to academic research, high-quality teaching, and fostering an inclusive learning environment is key.

As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women. You can read more about our commitment to Equality, Diversity and Inclusion here: https://www.ucl.ac.uk/equality-diversity-inclusion/. Our department holds an Athena SWAN Gold award, in recognition of our commitment and demonstrable impact in advancing gender equality. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff.

Please apply via the ‘Apply’ button above.

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