Python Quantitative Developer
- London, England, United Kingdom
- Contract, Full time
- Emagine Consulting
- 09 Aug 17
emagine is looking for a Python Quantitative Developer within Global Risk Analytics.
emagine Consulting – Python Quantitative Developer
emagine support our clients' with their business challenges by providing consulting and implementation expertise, both onshore and offshore. We combine our extensive understanding of a business's needs, with profound technical know-how. Our best practices include business and technology consulting, innovation and FinTech for the financial sector. emagine's practice-based organisational structure is driven by a culture based on success. We combine our agile delivery model to best match the skills and experience of our consultants – this ensures that consultants meet specific project requirements. emagine focus on delivering projects which utilise a high impact, low population and cost effective approach.
For more information on emagine consulting, please visit our website www.emagine.co.uk
emagine is currently looking to onboard a senior Python Quantitative Developer for a new project with one of our financial services client within Global Risk Analytics. GRA are front running to look at Wholesale Credit and Market Risk in preparation for any decision that the business may take in relation to the exit of the UK from the EU. The bank is undertaking preparatory planning to look at current unknowns to understand what the impacts will be should they move streams of business to different countries.
- Strong Python Development Skills – Prior experience working closely with Quantitative Analysts
- Proficiency in manipulation of large data sets and excellent understanding of credit risk related data
- Strong wholesale modelling experience
- Desirable Masters level in Math (or equivalent)/Science/Engineering discipline)
- Excellent communication skills and the ability to maintain close working relationship with related parties
- Assisting to develop and implement the changes in process, including policy and procedure.
- Good understanding and interpretation of regulatory rules
- To undertake ‘What if’ and pre-analysis work with a view to roll into the modelling work if required
- Nice to have - Use LaTex for documentation, Charts to be done using LaTex especially for sharing equations
- Good knowledge of SAS data manipulation and statistical analysis is of benefit