Our client is searching for an experienced Data Architect to join their Commodities I.T. team in London. Commodities encompasses the firm’s activities in the North American natural gas market and European gas and power markets, as well as its activities in the crude oil, refined products and agricultural commodities markets. The Commodities team combines fundamental market expertise with quantitative analytics to identify directional and relative value investment opportunities.
Responsibilities:
- Work directly with technical team members as well as analysts to leverage fundamental data about commodities to help senior analysts create price and trading signals.
- Responsible for developing libraries, models, policies, rules/standards that govern the way data is stored, accessed and processed in their environment
- Build industry-leading strategic python tools and functions to help analysts build price signal and trading models
- Responsible for all phases of the technology life cycle
- Coordinating and communicating specific subject matter knowledge to the design and integration phase of each project
- Advising on and implementing the appropriate architecture, data model, and system design and interfacing requirements for each project
Requirements:
- Experience building SQL (MSSQL Server) and NOSQL (Mongo) architectures for transactional and large (Big Data) systems
- Experience in architecting scalable and fault tolerant database solutions
- expert in SQL and NO SQL performance and tuning and programming dialects
- Fluent in python for building significant packages and systems – not lightweight “glue” scripts
- Strong computer science fundamentals (data structures, algorithms, distributed development, system design)
- Experience on a technology team within a financial institution
- Past experience working within a globally distributed team would be beneficial
- Proactive individual with experience working within a fast paced environment
- Strong written and verbal communication skills on both technical and non-technical topics
- Commitment to continuous integration and other SDLC best practices
Skills:
- Experience with numpy and scipy and pandas a major plus
- Experience with Matlab is a plus but not required
- Knowledge of commodities products or experience on a Commodities desk is a plus
- Exposure to OTC/Derivatives trade life cycle and position management a plus
- Knowledge of visualization platforms (D3, matplotlib, and similar graphical packages) is a plus
Education:
- Technical education should include an undergraduate and/or advanced computer science, electrical engineering or other relevant applied science
If you would like to be considered for the position of Data Architect, or wish to discuss the role further then please leave your details below. Your resume will be held in confidence until you connect with a member of our team
