Senior Wholesale Risk Data Analyst

Job Type:
Enterprise Applications
Job reference:
21 days ago

Senior Wholesale Risk Data Analyst

6 months

Canary Wharf/Remote-Hybrid


Our client, a market leading multi-national bank and financial institution are looking for a Senior Wholesale Risk Data Analyst to join them on a customer-based project-based Canary Wharf/Remote-Hybrid way of working. The assignment is an initial 6-month contract and can offer a competitive daily rate via Umbrella Role.

Role Purpose

Development of an efficient, sustainable process to provide data required for wholesale credit risk development and on-going validation, covering but not limited to Probability of Default (PD), Loss Given Default (LGD), Exposure at Default (EAD), and Risk Weighted Assets (RWA).

Wholesale Risk data function serves the needs of Wholesale Risk sub-functions, specifically GRA (Global Risk Analytics) for the purpose of the credit risk model development and monitoring programme. The development of a sustainable data governance framework and measurement of data quality are of critical importance to support the business functions.

Data is fundamental to the development of risk models and the ongoing monitoring of their performance. Development of centralized processes improves operational efficiency and reduces the risk of data duplication or inconsistent processing by analysts.

Typical Targets and Measures

  • Data sourced for risk models
  • Co-ordination with regions for consistency of approach and implementation
  • Design and implementation completed within agreed timelines
  • Positive feedback from team members and stakeholders
  • Increased operational efficiency and reduced time required to source data for modelling & validation
  • Engage with global business and risk functions to deliver required data
  • Educate group and regional teams about impact and approach
  • Positive feedback from team members and stakeholders
  • Proactively manage projects with attention to time schedule and resource planning
  • Negotiate with senior management, system owners and model sponsors as well as model developers and reviewers
  • Work collegiately colleagues across risk, finance, IT and the business
  • Write good quality and comprehensive documentation
  • Lead data requirement discussions with model developers
  • Liaise with Risk Systems and IT to support data sourcing for model development
  • Positive feedback from team members and stakeholders
  • Apply statistical analyses and other quantitative methods
  • Implement globally consistent frameworks
  • Promptly identify and report redundant activities or unproductive process to improve efficiency


  • University degree in a numerate subject


  • Knowledge of Wholesale Credit Risk
  • Knowledge of data required for risk modelling
  • Relevant working experience in a bank, rating agency, consultancy or advisory firm (7+ years)
  • Data Warehousing experience
  • Strong data analytics background


  • Open personality with effective communication skills
  • Strong data manipulation and analysis skills (e.g., SAS, SQL, Python)
  • Writes clear documents
  • Manages self to deliver own work within timelines
  • Work with colleagues and key stakeholders in an international team
  • Ability to organise presentations, trainings, workshops

If this sounds like you, apply now!

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