• Responsibilities Translate Business Requirements to Conceptual, Logical and Pysical Data Models
  • Recognize the need for a specific relational design – OLTP, OLAP, Data Warehouse – from a set of requirements and/or from a Logical Data Model
  • Participate in mapping of Logical to Physical Data Models and vice versa
  • Perform model creation for large set of data which are being sourced to Big Data

Role Requirements       

  • Strong Data Modeller with Financial Services experience
  • Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context

"Knowledge of one or more of the following domains (including market data vendors):

o            Party/Client

o            Trade

o            Settlements

o            Payments

o            Instrument and pricing

o            Market and/or Credit Risk"

  • Demonstrate a continual desire to implement “strategic” or “optimal” solutions and where possible, avoid workarounds or short term tactical solutions
  • Working with stakeholders to ensure that negative customer and business impacts are avoided
  • Manage stakeholder expectations and ensure that robust communication and escalation mechanisms are in place across the project portfolio
  • Good understanding of the control requirements surrounding data handling


  • Excellent analytical skills and commercial acumen
  • Experience in ETL/ELT as well as Entity Relationship (ER) data modelling
  • Understanding of slowly moving dimensional Datawarehouse (star schema, kimball dimensional data modelling)
  • Good knowledge of SDLC and formal Agile processes as well as testing experience
  • Can write SQL (NoDQL) and Python queries, Scala knowledge preferable and navigate data bases especially Hive, CMD, Putty, Note++
  • Strong self-starter with strong change delivery skills who enjoys the challenge of delivering change within tight deadlines
  • Strong verbal and written communication skills
  • Ability to manage multiple priorities
  • Knowledge of and experience using data models and data dictionaries in a Banking and Financial Markets context
  • Preferable knowledge and experience in Data Quality & Governance
  • Understanding of on-prem and Cloud Data Lakes as well as data warehouses architecture
  • Enthusiastic and energetic problem solver to join an ambitious team
  • Business analysis skills, defining and understanding requirements
  • Attention to detail
  • Ability to communicate effectively in a multi-programme environment across a range of stakeholders
  • Knowledge of Hadoop of Google Big Query is a plus

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