Risk Analyst – Credit Risk – Quantitative – Risk Analytics - Banking

Excellent opportunity opens for a Risk Analyst with a strong Quantitative/ mathematical mentality to join a growing International Bank’s Risk Analytics Team. In this role, you will serve as a quantitative expert within the Risk Analytics department, focusing on the mathematical frameworks that protect the bank’s capital. This position is a technical, hands-on quantitative role centered on the internal mechanics of credit risk modelling and loss estimation. This involves developing and maintaining predictive models to assess credit, market, or liquidity risks.

Main Responsibilities:

• 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 Planning.
• Development and implementation of scenario analysis and stress testing models generally
• Support development and assessment of Operational and Climate Risk stress monitoring.
• Run and enhance risk appetite measurement models and related forecasting.
• Contribute to the 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

Qualification & Experience

• Good university degree (2.1 or better)
• Intermediate level post-graduate with 2-3 years’ + commercial experience (or consultant)
• Experience in a banking or financial institutions (Risk, Business Portfolio Analysis or Finance), including credit and / or liquidity regulatory calculations and production of management information and reports;
• Practical experience and knowledge of the credit cycle, including credit appraisal (and rating schemes/credit decision models)
• Appreciation of bank regulatory and regulatory ratios e.g., capital ratios
• Good appreciation of credit risk modelling (PD, LGD), model validation and model monitoring development as well as model governance requirements
• Broad familiarity with stress-testing (regular and episodic e.g., ICAAP).
• Familiarity with the operations of prudential risk management.
• Skilled in the visualisation of data and selecting appropriate chart types to inform management
• Good communication skills, and the ability to write and speak on technical issues to a non-technical audience
• 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.
• Risk data quality and management
• Exposure to “R” and “Python” for coding

About You:

• Ability to adapt to working in a multi-cultural environment
• Highly efficient, team player, with good attention to detail, accuracy
• High standard performer that enjoys working in a dynamic and small team
• Ability to work unsupervised, to tight deadlines and to withstand occasional high pressure
• Accuracy and high level of numeracy and literacy
• Pragmatic and creative, able to work with and get insight from limited and imperfect data

Interested? Please Apply!

Risk Analyst Risk Analytics Credit Risk Market Risk Liquidity Risk Credit Risk Modelling Predictive Models Bank Banking Quant Risk Quantitative Risk Quantitative Analyst Mathematics Operational Risk Climate Risk