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Data Lead/Data Architect - Commercial Banking - London, United Kingdom,

£550-600

Data Lead/Data Architect

Commercial Banking

£550-£600pd

London City - Contract

Commercial Banking, Investment Banking, Data Analyst, Data Engineer, Data Modelling, Data Architecture, regulation, Dodd Frank, EMIR, MiFID, RFB, FRTB, Hadoop, HDFS, HBase, HIVE

Our prestigious banking client require additional resource in their Data Theme Team. The Data Theme Team is the Backbone to all the major projects within Commercial and they require a resource who has extensive working knowledge around Agile Delivery of complex projects spanning Front to Back office systems, a deep understanding on how data is organised and modelled within Financial Markets. The individuals must have had significant exposure to Front Office Trade capture systems such as Summit or Murex and the technology which underpins typical investment banking ecosystems.

Responsibilities:

  • Contribute to requirements analysis from a business and data perspective, logically model the data and create technical specifications. Work to tight deadlines.
  • Typical day to day activities: Requirements review and translation into technical specifications, data sourcing, creation of ETL type mapping specifications, data mapping, data analysis, gap analysis, data modelling.
  • The role involves working closely with the data modelling team, requirement business analysts team and development team to ensure deliverables are progressed and align with work done by other team members.

Essential Skills:

  • Data Analysis (Looking at systems and data sets to source data, identify patterns, common values and gaps)
  • Requirements Analysis (review and translate requirements into technical design and data models)
  • Investment Bank experience (Products, Client, Trade, Organisation (LE, Book and Desk))
  • Data Formats (Database, XML, JSON)
  • Data Modelling (Logical, Physical)
  • Proactive self-starter, with the ability to follow instructions.

Desirable Skills:

  • Regulatory experience (i.e Dodd Frank, EMIR, MiFID, RFB)
  • Data modelling using ER Studio (other tools are acceptable)
  • Exposure to Hadoop / big data technologies (HDFS, HBase, HIVE)


Commercial Banking, Investment Banking, Data Analyst, Data Engineer, Data Modelling, Data Architecture, regulation, Dodd Frank, EMIR, MiFID, RFB, FRTB, Hadoop, HDFS, HBase, HIVE