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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