Quant Business Analyst (26249)
Recruiting for 2022 (including a possible summer start) - this technical strategy consultancy based in the heart of Cambridge are hiring graduates looking to start their careers or more experienced individuals.
The company work across the world (and in usual circumstances, travel globally to meet clients) building complex, numerical models based on business and financial data for technology readiness. Their expertise and the models they develop are used by their clients to make viable predictions and assist in navigating complicated business landscapes.
Joining this company, you can work closely with senior consultants and partners, and gain first-hand experience on all aspects of projects. This would include data gathering, quantitative analyses, building models and developing strategic frameworks based on findings which would be documented in reports and presented to clients. The company have in place a pathway for rapid career progression and reward contributions well.
- Strong numerate background evidenced through a history of top academics including: A*/A grades in Maths and either Further Maths, Physics or Economics (or 40+ at IB); 1st or high 2.1 grade Bachelors degree from a top ranked university (ideally in Maths, Physics or Statistics); and a Masters working on a substantial numerical project.
- Demonstrable project experience (which could include a MSc / PhD project, internships or industry experience) where quantitative modelling with multiple variables are central to the work.
- Internship experience within an accountancy / financial institute or management consultancy would be desirable.
As this is a consultancy, good communication skills are expected. Further, as clients can be based worldwide, a second language skill (Spanish, French, Arabic) would be beneficial.
This is an excellent opportunity to join this consultancy and work on challenging projects. For applicants who are shortlisted, interview stages will include numerical tests and case studies (we would be happy to advise you about these).
Keywords: Quantitative Analysis, Mathematical Analytics, Numerical Induction / Inference, Consultancy, Graduate / Masters / PhD / Experienced, Business Modelling, Finance
Please note: even if you don't have exactly the background indicated, do contact us now if this type of job is of interest - we may well have similar opportunities that you would be suited to. And of course, we always get your permission before submitting your CV to a company.
Recommend for £250 - see www.ecmselection.co.uk/tell-a-friend for details.