PhD Quant Analyst, Algorithmic Trading Research recruitment
The firm produces integrated automated trading platforms for use in algorithmic trading and they have developed a highly successful platform to systematically leverage investment knowledge.
This top performing business provides an excellent platform for highly numerical individuals to utilise their skills gained in academia and apply their skills to real world financial problems. Candidates need to be forward thinking and must have a diverse set of skills across mathematics and computation. You will endeavour to seek patterns in large, noisy and dirty data-sets using techniques such as time series analysis, probability theory and regression analysis.
SKILLS REQUIRED:
- Educated to PhD Level from a world leading university (Cambridge, Oxford, Imperial Harvard, MIT etc)
- Strong numerical focus in Mathematics, Statistics, Physics, Engineering, Computer Science or similar
- Time Series Analysis, Probability Theory, Regression Analysis, PDE etc
- Strong programming abilities ideally in an OO Development language (C++, C# or Java)
- Solid academic history with top grades at degree and A Level
- Excellent communication skills
- Work experience outside of finance sector or in post-doc positions is desired (not required)
Candidates will have the chance to work with likeminded individuals, challenge themselves daily and have the chance to apply mathematical concepts to real world financial problems. This is a fantastic opportunity for PhD candidates to work for a well-renowned financial organisation and deliver top quality work in a highly supportive and collaborative environment.
If you wish to discuss further, please contact Bradley Sharp on bradley.sharp@ojassociates.com or on 0207 310 8653.
