Quantitative Developer

3 weeks ago

London, United Kingdom Richard James Recruitment Specialists Ltd Full time

You will be working for a leading Energy & Commodity Trading company situated in London and will be involved in liaising with the various trading desks and IT to assess individual needs of each team and build out a data management infrastructure as well as to create custom analysis for traders and market analysts. The data sources range from third party data which needs to be pre-processed and ingested internally in a systematic manner, as well as internal data pertaining to trades and shipping operations

RESPONSIBILITIES

  • Strong DBA in Microsoft SQL Server
  • Be able to write SQL queries and make improvements to code with a focus on security
  • Excellent programming skills preferably in Python or Powershell
  • Build and maintain a data lake and related infrastructure working with IT to ensure ease of integration with existing systems. Review the market and recommend the best fit and be a focal point in the implementation of the solution
  • Maintain a codebase of predictive analytics models, working alongside market analysts to ensure timely delivery of forecasts
  • Ingest data from various APIs, FTP servers and other clean sources for access by the rest of the company through SQL secure queries
  • Design and implement short and long-term strategic data platforms to support all business functions with present and future requirements
  • Create dashboards upon request from the trading team to create a central repository of fundamental and price data
  • Responsible for maintaining contractual agreements for all user subscriptions
  • Develop analytical models and working with analysts on forecasting needs
  • Support the continuing development of the analytical infrastructure and take up ad hoc analysis
  • Be able to translate business requirements into IT solutions and maintain strong relations with IT
  • Infrastructure administration and project management
  • Any other tasks that the company may reasonably assign to you from time to time according to business needs.

QUALIFICATIONS:

  • The successful candidate will be educated to degree level

SKILLS:

  • Excellent understanding of data engineering and ETL processes
  • Knowledge of data modelling, schema design and database management systems (DBMS)
  • Strong proficiency in related tools and languages, notably MS SQL and Python
  • Hands on experience with data warehousing solutions such as Snowflake
  • Familiarity with data visualization tools such as Tableau or PowerBI
  • Strong interpersonal and facilitation skills that enable regular communications in appropriate style for a multinational and multicultural audiences
  • A keen team member with a strong appreciation for the benefits of effective collaboration within the Analytics community
  • Reliable and efficient member of the team who is keen to take accountability for specific pieces and ensure they are executed to a high standard
  • Self-motivated and driven person with a desire to work in a global leading company

KNOWLEDGE:

  • Experience working with developers and maintaining a clean codebase of analytics.
  • Working experience of virtualized platforms such as VMWare and general Windows Server Administration.
  • Security focused.
  • Demonstrate a strong academic background in a quantitative subject
  • Knowledge of statistical analysis and data mining techniques
  • Previous experience in commodity trading or a financial institution preferred
  • Awareness of risks

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