Lecturer or Senior Lecturer in Financial Mathematics, Department of Mathematics, University of Manchester

Lecturer or Senior Lecturer in Financial Mathematics

Department of Mathematics
University of Manchester, UK

Full job description:

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Applications are invited for the above post, to start in January 2023 or
at a mutually agreed alternative date. We are looking for academics of
outstanding ability, who are seeking a friendly, supportive and
collegial environment in which to develop as world-class researchers and
teachers, and who will contribute to the continued development of the
Financial and Actuarial Mathematics (FAM) provision within the
Probability & Statistics Group, Department of Mathematics, in the School
of Natural Sciences.

Applicants are sought in any area of Financial Mathematics that
complements or extends existing expertise in the Department. Current
research themes within FAM including financial risk management,
stochastic control, pricing of financial instruments, portfolio
analysis, time series models stochastic risk processes and machine
learning in Finance (see

Financial and insurance mathematics - Department of Mathematics - The University of Manchester
Discover how mathematics researchers at The University of Manchester are looking at mathematical and probabilistic modelling of financial markets.


Applicants should have an outstanding track record of research in
Financial Mathematics or a closely related area (with allowance made for
career breaks) and a genuine commitment to, and enthusiasm for,
teaching, research and the development of others. There are many
opportunities to engage with other researchers at the University
including the Alliance Manchester Business School ( ) and the Institute for Data

Alliance Manchester Business School UK - Undergraduate, Graduate & MBA Degrees | Alliance MBS
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Science and Artificial Intelligence (
). We are also a University Partner of the Alan Turing Institute (the
UK national institute for data science).

Please see the link above for further information.

The closing date for applications is 29th September 2022.

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