Senior Risk Analyst
£75000 - £90000 + bonus + 15% non contributory pension + benefits
Central London

The bank is a fast growing London operation of an international banking group with global assets $50billion. The business comprises private banking, commercial and wholesale banking together with retail activities. In the last few years they have been going through progressive upgrades of processes, procedures, controls, infrastructure and systems as London grows as an important business hub. They now have a new role which offers a variety of interesting work within a cosmopolitan environment and will be of great interest if you want to make a difference and where your analytics are used across the business areas. The role might suit someone relatively early in their career who wishes to develop a broad and detailed view of the management of all risks in a bank and the opportunity to work closely with senior management


To be considered for this interesting role, there are some non-negotiable must haves which are essential and include:

  • Minimum 2:1 degree with 3 to 5 years' commercial experience (or consultant) Experience in a banking or financial institution (Risk, Business Portfolio Analysis or Finance), including credit and / or liquidity regulatory calculations and production of management information and reports;
  • Core competencies in quantitative risk disciplines across more than one risk type but must have a good understanding of credit risk as one of the risks.
  • Development and implementation of risk models across more than one risk discipline with exposure to "r" and "Python" for coding and/or extensive experience in using excel;
  • Practical experience and knowledge of the credit cycle including credit appraisal (and rating schemes / credit decision models); Good appreciation of credit risk modelling (PD, LGD), model validation and model monitoring development as well as model governance requirements;
  • Product knowledge of Retail and private banking, Commercial real estate, Loan syndicates - secondary market and Lombard lending;
  • Knowledge of statistical and mathematical concepts such as Monte-Carlo and credit transition matrices would be useful;
  • Skilled with Microsoft Excel, including creation of spread sheets with embedded error checking for use in semi-production environments. Experience of MS-Access and/or SQL development would be useful;
  • Skilled in the visualization of data, and selecting appropriate chart types to inform management
  • Appreciation of bank regulatory and regulatory ratios g., capital ratios;
  • Development and implementation of scenario and stress testing models;
  • Model validation and monitoring would be useful as well as understanding of risk data and experience in remediating poor data quality - experience of data in a low PD environment would be beneficial.

Reporting to the Risk Analytics Senior Manager, you will

  • Support the Risk Analytics team (and Risk generally) in delivering and developing insights on a wide range of risks, in particular Credit (including ECL), LGD and PD parameter development
  • Support ICAAP (financial and credit RWA / ECL stress forecasting) and Recovery
  • Development and implementation of scenario analysis and stress testing models generally
  • Support development and assessment of Operational, and Climate Risk stress
  • Run and enhance risk appetite measurement models and related
  • Contribute to enhancement of risk data quality
  • Support development of good model governance including structured development, documentation of models and design and running of model validation tests.
  • Support more junior team members where appropriate