Senior Data Analyst at Nedbank

Job Description

• The role holder will have an exciting opportunity to apply themselves to understand, adopt, facilitate training & communication, planning with Group Risk and Nedbank stakeholders on switch to Nedbank’s Target State Architecture including infrastructure, processes, people, methodology in each risk domain. The role holder will be challenged to keep abreast of technology & business changes, impact on risk domains, additionally a big focus on DATA driving Nedbank’s ambition of being a Data Driven Organisation including the role Group Risk plays in embracing & partnering with the newly created Data & Analytics Office division.

Job Responsibilities
Key accountabilities

• Develop an understanding of the relevant allocated cluster environment, including knowledge and understanding of product, limits, exposures and relevant processes/persons/systems, end to end data life cycle
• Perform analysis / gap analysis on risk data used in the preparation of regulatory and economic capital including other datasets affecting other risk type reporting
• Participate in the preparation of relevant risk data to ensure alignment to Group risk requirements
• Provide support to the Group Risk teams on aspects relating to the automation, digitisation, improved business process re-engineering of current reporting and management information (MI) for risk domains
• Liaise with relevant risk management (business units) to identify and select appropriate data for risk reporting and analytics
• Engagement and collaboration on Group Risk Journey Projects including application of Data Governance Life-cycle checklist, 3rd Party vendors, Cloud Materiality Assessments
• Provide relevant risk data to support Group Risk Management in the execution of their duties and mandate
• Develop Data Quality reports aligned to BCBS#239 compliance to aid identify infrastructure gaps, root cause, remediate solutions via process or infrastructure changes
• Active guidance, review, and monitoring of Group Risk DQ reports, proactive engagement with risk, technology and clusters to improve risk data quality and reporting
• Providing expertise and analysis of risk data and data quality reports
• Effective in planning and driving results where multiple stakeholders and datasets are in place
• Confidence to challenge to ensure greater value is achieved for organisation
• Provide support & guidance to the Risk data domain stakeholders and Nedbank peers in driving Nedbank Group goals
• Ensure stakeholder needs are met by providing advice, consulting and sharing knowledge 
• Takes action to deal with exceptions, problems, and unforeseen events 
• Maintain effective and productive relationship with all stakeholders in line with Nedbank Values
• Contribute effectively to a re-imagined team culture towards team vision
• Maintain consistent communication with stakeholders in delivery of objectives / projects
• Improve personal capability and stay abreast of developments in field of expertise by identifying training courses and career progression for self through input and feedback from managers. Ensure personal growth and enable effectiveness in performance of roles and responsibilities by ensuring all learning activities are completed

Job Responsibilities Continue
Drive efficiency / optimisation through Automation, Digitisation, Innovation – Challenge Status Quo

• The role holder is required to be innovative in establishing ideas / solutions to automate and refine existing implementation processes affecting Group Risk data domains
• Ability to translate data into concise and informative management information and reporting
• Analysis and problem-solving skills in delivering solutions that are required by Group Risk and cluster stakeholders
• Active participant / adopter of LEAN, Agile, Safe Epic, SDLC, Data life-cycle checklist, DAMA framework, nWoW PMO methodology and practice 

Data and Projects

• Support and guide Group Risk specific data and systems requirements
• Support and guide Risk programmes with data/specification/ prototypes 
• Support and guide Group Risk stakeholders to ensure RDARR Compliance Status 
• Technology awareness and ability to optimise delivery fit for purpose / solution
• Active role in Data Quality Measurement, Monitoring, Remediation and Reporting
• Ad-hoc mini-projects as the need arises
   

Risk and Control Objective

• Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise wide risk management framework, internal risk policies

Essential Qualifications - NQF Level

• Advanced Diplomas/National 1st Degrees

Preferred Qualification

• Degree in statistics / data analysis / Computer Science / Information Systems / Data Science or equivalent 

Minimum Experience Level

• 10-15 years relevant experience in the following: Banking, Risk, Technology, Business Intelligence, Finance, Data Warehousing, Data principles, Analytics, Data Management, EDP, RADARR, SQL ETL & Development, Finance Reporting, Regulatory Knowledge, MIS, Dashboarding & Data Quality
• Understanding of Nedbank data landscape will be an advantage
• Good understanding of risk process / policies / data life cycle wrt end to end value chains
• Experience and knowledge Basel framework an advantage
• Understanding of data collection and standardisation
• Understanding of data quality and metrics
• Time management: the ability to prioritise to ensure delivery within role 
• Attention to detail and analytical approach
• Proven track record, forward-thinking and proactive approach to work 
• Proven ability to interpret multiple sources of complex data to draw conclusions and make recommendations
• Strong communications skills, both written and verbal, with ability to work both independently and collaboratively
• Self-motivated / Self-Started, takes ownership of responsibilities assigned to him / her and working towards closure of issues

Technical / Professional Knowledge

• Microsoft Office
• Relevant regulatory knowledge
• Business writing skills
• Change Management & Communication
• Management information and reporting principles, toolsets