Senior Analyst

Senior Analyst

Standard Bank

Senior Analyst

Details of the offer

Risk Management: understanding all risks – from the economic to the political – that could affect our global business, and offering guidance to all parts of the bank
Job Purpose
To develop, maintain and improve data analytics and statistical modelling methods used to inform senior management on operational risk exposures and trends needed in executing its business plan. In addition, provide support to the end of life advanced measurement approach (AMA) and its successor (new standardized approach) for operational risk capital modelling.
Key Responsibilities/Accountabilities
Research and development of data analytics methodologies
Develop and maintain cross-validation of various risk management tools such as indicators, scenario assessments, incident management and external data.
Develop and maintain risk-sensitive allocation methods for capital and expected losses.
Enhance (with assistance from IT business partners) the central risk database by identifying new data sources which can be used by this team for analyses purposes.Continuously seek ways to improve the analytics methodology through remaining aware of the latest regulations, relevant regulatory guidance notes and methods in this field of study.
Identify and make recommendations to improve the incident management process and scenario analysis process which are two key processes for managing operational ris
Implementation of data analytics methodologiesClean and transform relevant operational risk data in preparation for its use in various data analytics tools.
Maintain adequate technical documentation regards the data analytics methodologies.
Perform regular updates of the data analysis results according to the needs of the business
Operational risk capital model supportPerform semi-annual re-estimation of the bank’s operational risk capital utilization.
Clean and transform incident data and scenario analysis data into the format required by the capital model.
Maintain adequate technical documentation regards the capital model methodology.
Provide the bank’s model validation team with adequate technical information to allow
them to discharge their annual obligation to independently validate the capital model.
Collate and report capital model results such as economic capital, regulatory capital and expected losses to relevant business and risk committees.
Continuously seek ways to improve the economic capital model methodology used for the group’s banking operations and captive insurance company through remaining aware of the latest regulations, relevant regulatory guidance notes and quantification methods in this field of study
Maintain other operational risk capital demand models/scorecardsMaintenance of the Stanbic International Insurance Limited (SIIL) economic capital model.
Maintain the ICBCS plc. economic capital models as per service level agreement (SLA).
Maintain and regularly enhance the operational risk economic capital scorecard used for Africa Regions
Implement Basel Framework amendments
Design and maintain an optimal process for implementing the new standardized approach for operational risk regulatory capital demand estimation
Actively participate in industry collaboration activities
Participate in Operational Riskdata Exchange (ORX) projects and surveys.
Keep abreast of latest developments in industry and regulations
BASA AMA Analytics Working Group participation when needed
Assist with supervising interns and graduate trainees rotating in the team
Supervise interns or graduate trainees that rotate in our team.
Show these individuals how to perform data analytics tasksSupport the group’s model risk management function
Assist with maintaining, enhancing and embedding the model risk appetite
Assist with maintaining and enhancing the model risk economic capital quantification methodology
Assist with the enhancement of SBG’s Model Risk Governance Framework
Participate in the Model Management Workgroup
Preferred Qualification and Experience
Honours Degree or 4-year degree in other subject areas such as Business Analytics, Data Analytics, Data Science, Quantitative Risk Management, Statistics, Engineering or PhysicsExperience:
Risk Management 7-10 years
Analyst role in a bank’s risk management, model development or model validation function.
Risk Management 7-10 years
Demonstrable ability to develop statistical models from data and/or analytical models to estimate capital (unexpected losses), expected losses, or scoring decisions such as application or behavioural scorecards
Risk Management 7-10 years
Experience with using tools such as Python, Matlab, SAS or R to develop and execute models
Risk Management More than 7 years
Regulations affecting banking especially internal model approaches for risk capital.
Risk Management More than 7 years
Model risk management practices in banking spanning data preparation, development, documentation, validation, approval, usage and monitoring
Knowledge/Technical Skills/Expertise
Quantitative Analysis
The ability to build, analyse and interpret quant models to determine potential risk exposure. Able to analyse behaviour by using complex mathematical and statistical modelling, measurement and research
Financial Industry Regulatory Framework
Insight into and understanding of the various laws and regulations regulating the financial services industry
The design, creation, testing and documenting of new and amended programs from supplied specifications in accordance with agreed standards
Root Cause Analysis
Knowledge and application of techniques that can be applied to determine the cause of process or control failures
Quant Skills
The ability to build, analyse and interpret quant models to determine potential risk exposure
Risk Awareness
General awareness of risk management practices in a financial services organisation.

Source: Jobs4It


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