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Risk Analysis and Reporting (14171)

Investec

South AfricaPosted Posted 16 days ago
go
sql
power bi
ifrs

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Job description

Key Responsibilities Providing strategic advice, analysis and information thereon relating to a specific sector as well as various ad hoc information and projects over time by providing portfolio and deal level views of key metrics Preparation of, or presentation of, regular reports for credit and risk committees (including, but not exclusive to, monthly credit risk dashboards, rating agency packs, annual financial statements, ad hoc queries from investor relations, rating agencies, management, executives etc.) Accurate and careful review of information ensuring that data reported and presented is relevant for the audience, accurate, reconciled and auditable Developing improvements and continuously reviewing relevance of reporting to ensure it remains appropriate for the various stakeholders Develop close working relationships and good communication with Credit, Finance, Business units, Data governance, Credit models, ESG team, Risk IT and GLO teams to fully understand underlying exposures Identifying opportunities to make portfolio analysis and processes of collation and presentation of information more timely and efficient through automation of reporting, while ensuring accuracy is not compromised Ability to liaise with accountants in order to understand how a deal has been booked from an accounting perspective and assist financial control with credit packs and the reconciliation of data in the data warehouse to the general ledger Implement IRB reports in the credit packs and wider organization Lead further collaboration in the broader team with Capital demand and Finrep returns Month end system reconciliation and managing the IFRS 9-month end process Qualifications, Experience and Skills Qualified accountant preferrable with relevant Credit Risk reporting experience Familiarity with Power BI/SQL Experience in credit reporting Knowledge of financial products and instruments Proficiency in using AI-enabled productivity tools, such as Copilot, to improve efficiency, generate insight and support decision-making. Applies critical thinking and sound judgement when interpreting outputs, remains accountable for the quality and accuracy of their work

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