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| Position | Senior Treasury Risk Analyst |
| Group | NBKI London |
| Reports To | Enterprise Risk Lead |
| Direct Reports | None |
| Internal Relationships |
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| External Relationships | Occasional work with external and internal auditors |
| Number of full-time equivalent employees: 1 | |
| Grade | IBG06 |
| Job Purpose | |
Supporting the Risk team and delivering on NBKI’s Business Strategy by supporting the provision of a robust second line of defence (oversight, review, and challenge) of Treasury activities/risks. The role of the Treasury Risk Senior Analyst will be to support the Treasury Risk Manager in delivering effective second-line oversight of all aspects of Treasury risk, including asset and liability management (ALM) & interest rate risk in the banking book (IRRBB), liquidity risk, and foreign exchange risk; and support the Operational Risk function in aspects of their work relating to Treasury functions. The incumbent must assist in the below activities:
Day-to-day responsibilities:
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| Qualification & Experience |
(1) Qualifications:
University degree (minimum UK 2:1 or equivalent - Masters level qualifications preferred) in a quantitative discipline (e.g., mathematics, accounting, economics, computer science, engineering etc.);
Appropriate formal risk qualification is highly desirable.
(2) Experience: -
Intermediate level post-graduate with 5 years’ experience in risk management (or consultant) or ALM
• Experience in a banking or financial institution (Risk, Business Portfolio Analysis or Finance), including market risk and / or liquidity risk regulatory calculations and production of management information and reports; • Good appreciation of interest rate risk and liquidity risk modelling. • Broad familiarity with stress-testing (regular and episodic e.g., ILAAP, 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 time series models. • Skilled with Microsoft Excel, including creation of spreadsheets. Experience of MS-Access and/or SQL development would be helpful. • Risk data quality and management • Exposure to “R” and “Python” for coding |
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