G-Research: a career for PhDs and researchers in quantitative research and technology

G-Research is a growing quantitative research and technology company, serving the finance industry that recruits PhDs mainly from STEM backgrounds, directly after graduation. It looks to help them build a long term career within the company. There are >450 staff and turnover is very low, particularly in quantitative research.

The company requires a strong academic background. This need not be field specific but an interest in finance is essential and this must be combined with good technical skills.

The company values creativity, open-mindedness and collaboration, offering an informal work culture with no weekend or late evening working. G-Research works in several disciplines and offers lots of variety with the prospect of projects showing benefits relatively quickly compared to pure academic research. They take the view that all research is valuable and that no efforts are wasted.

The company welcomes informal approaches to discuss opportunities prior to a formal application and this is recommended. Interviews place great importance on applicant’s technical skills, cultural fit and ability to communicate their ideas. They recommend that applicants do some research on the company before applying as they see commitment to their values and business model as important.

For new recruits, there is no formal training programme such as might be found on a graduate scheme but individual development is strongly supported. New staff are provided with a supportive line manager and mentor and given the opportunity to join study groups built around particular research themes. There is a great deal of informal learning and people are encouraged to keep up to date with their field through supported attendance at conferences & talks.

PhD Opportunities in Finance and Data Science

phds-finance-comp-sciResearch students and young professionals are invited to attend a half-day conference.

Wednesday 24 June 2015, 13:00 – 17:00

University College London
Cruciform B304 LT1, Cruciform Building, Gower Street,London, WC1E 6BT

UCL’s Centre for Doctoral Training in Financial Computing & Analytics is organising a conference to bring together university researchers and industry professionals to discuss future directions and job opportunities in finance and data science.

Topics will include algorithmic trading, financial mathematics, health analytics, fintech, people analytics, consulting, computational advertising and deep learning.This event will be of interest to PhD students, Post Docs, industry professionals and companies seeking to recruit PhDs to work in finance and data science.

Speakers include: Mike Lynch (Invoke Capital), John Loizides (Citi), Jessica James (Commerzbank), George Calderbank (Winton Capital), Clare Finn-Levy (Essentia Analytics), Giles Pavey (Tesco dunnhumby), Alan Payne (BUPA), Thore Graepel (Google Deep Mind), Orlando Machado (Moneysupermarket.com) and Ray Eitel (Accenture).

Register your interest

Please send any questions to:
Yonita Cater y.carter@ucl.ac.uk