Lecturer in Financial Technology

The role

The University of Bristol seeks two Financial Technology Lecturers for the Department of Computer Science at Pathway 1 or Pathway 3 level. Pathway 1 entails research, teaching, and citizenship, while Pathway 3 prioritises teaching, educational needs and citizenship. Successful candidates will teach on the MSc Financial Technology with Data Science and join the Intelligent Systems Laboratory research team in computational finance and financial engineering.

The research team is interested in agent-based modelling and simulation of financial markets, automated trading agents, financial machine learning, financial analytics, blockchain and distributed ledgers, auction mechanisms, and other areas of financial technology. Pathway 1 candidates must contribute quality research that complements the research interests of the group, while Pathway 3 candidates will focus more on education and scholarship.

Candidates must be comfortable teaching technology-driven courses such as Python programming, cloud computing, AI and machine learning, big data analytics, and blockchain application development. Experienced candidates with large-scale data engineering on commercial cloud platforms or blockchain-based application development are preferred. Please indicate interest in Pathway 1, Pathway 3, or both on your cover letter.

What will you be doing?

For the Pathway 1 Lecturer role in Financial Technology, you will:

• Implement excellent research in an area related to financial technology that complements other research group activities.
• Take an active role in providing high quality and innovative teaching in areas related to financial technology and data science.
• Contribute to the effective running of the Department, School, and Faculty by undertaking academic leadership roles.

 For the Pathway 3 Lecturer role in Financial Technology, you will:  

• Engage in independent scholarly activity, keep abreast of the latest literature, and participate in seminars and colloquia.
• Take an active role in providing high quality and innovative teaching in the Department in the areas of financial technology and data science.
• Contribute to the effective running of the Department, School, and Faculty by undertaking academic leadership roles.

You should apply if

For a full view of requirements please look at the job description attached below, but if the below describes you, we would encourage you to apply.

You have a:

• Track record of teaching at university level and the ability to undertake teaching in financial technology and data science
• Passion for research in computational finance/financial engineering, including one or more of the areas listed above.
• Proven ability to publish papers in prestigious venues (Pathway 1).
• Passion for developing and delivering innovative teaching in a blended environment.

Why should you apply for this role?

• We’re one of the leading research universities in the UK (ranked 5th REF 2021)
• You’ll work with prestigious industry partners across various sectors
• Competitive pay and rewards, generous leave entitlements, attractive pension scheme, development opportunities, relocation support* and wellbeing initiatives.
• Inclusive culture, valuing the diversity of though, beliefs and background
• Opportunity to become a member of one of many staff networks including BAME, LGBTQ+ and Parents & Carers

Additional information

Interviews are anticipated to take place on the 15^th of May 2023.

For informal queries, please contact: Prof Anthony Mulholland – anthony.mulholland@bristol.ac.uk or

Prof Mike Fraser - mike.fraser@bristol.ac.uk or Dr John Cartlidge - john.cartlidge@bristol.ac.uk

To find out more about what it's like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog:

https://engineeringincludesme.blogs.bristol.ac.uk/

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