Industry and academia set to partner in MSc postgraduate student summer programme

The Scottish Financial Risk Academy (SFRA) is offering a unique opportunity for financial services organisations to partner with postgraduate students this summer as part of the SFRA summer MSc project programme.

Industry partners of the SFRA and Scottish Financial Enterprise (SFE) have the chance to host a postgraduate student/s and set them a practical project, facilitated by the SFRA, for the mutual benefit of innovative young professionals and industry.

Financial services organisations are invited to propose projects to the SFRA, who will then source suitable postgraduate students from MSc programs in financial risk, financial mathematics, actuarial, statistics, computer science and machine learning in Heriot-Watt and University of Edinburgh.

These businesses will be able to interview suitable candidates and offer a project placement to the successful postgraduate student who may have a choice of offers to consider.

The objective of this programme is to leverage the extensive expertise from academia, research and practitioners and implement them on major quantitative challenges faced by the insurance sector and wider financial services industry. The programme strives to produce research outcomes and deliver tangible outcomes to make a measurable impact within industry.

The Six Focus Areas are: Risk Management, Financial Mathematics, Insurance, Machine Learning, Data Analytics, Statistical Modelling.

Students from the following MSc courses are invited to participate in the programme:

  • Financial Mathematics
  • Quantitative Finance and Mathematics
  • Actuarial Science
  • Actuarial Management
  • Actuarial Science and Management
  • Quantitative Financial Risk Management

Previous industry partners include: Aegon, Aberdeen Standard Investments, Genpact, Hymans Robertson, Lloyds Banking Group and Moodys Analytics. While previous project topics have been: systematic strategies for trade execution optimisation, the application of machine learning algorithms in data governance activities, pensions guidance data analytics, quantitative analytics of dynamic asset management and forecasting methodologies for stress testing.

If you wish to submit a project proposal on behalf of your organisation for this year’s SFRA summer MSc project programme is please download this form, complete it and return to: Or email Stephen with any queries you may have. The deadline is Friday, April 26.

If you are an MSc student and wish to apply as a participant you can do so here: