Data Risk Analyst

3 weeks ago


Johannesburg, South Africa Nedbank Full time

**Requisition Details & Talent Acquisition Contact**
- REQ 124475- Tshego Semenya- Closing date: 16 March 2023**Cluster**
- Group Risk**Career Stream**
- Enterprise Wide Risk Management**Leadership Pipeline**
- Manage Self: Technical (MST)**Position**
- Data Risk Analyst**Job Purpose**
- The Data Risk Analyst provides a comprehensive range of Data Risk Management services to the enterprise and cluster DMO functions as well as providing oversight as a 2nd Line of Defense (LoD) Risk function.**Responsibilities**:

- Input into the data risk (incl. data governance) strategy, providing support, facilitating and coordinating the relevant activities within Nedbank.
- Contribute to the development of an independent view of the Business Data Risk Profile as well as other monitoring tools to enable Data Risk Managers to:

- Identify existing risks themes and/or trends that indicate emerging data risks;
- Analyse data and form an independent assessment/opinion of data risks and;
- Drive for decisions regarding the management of the data risks.
- Partner with enterprise data teams across the 1st & 2A (LoD) business partners, providing advice and guidance to align strategies & corresponding capabilities to ensure a consistent, best in class data risk management capability.
- Effectively challenge the 1st LoD business partners, 2nd LoD advisors (Compliance, Legal & Risk) and 3rd LoD (Auditors) on data risk matters.
- Undertakes an independent validation of the health of the data in the organisation, including data quality, adherence to data governance standards, the embedment of data processes and DMO capacitation.
- Provide oversight and guidance during risk assessments, and partner with the business to develop appropriate controls and effectiveness testing.
- Provide thought leadership and guidance to business and supporting functions in implementing data and risk management practices.
- Demonstrate the business value in Data Risk Management to all levels of the organization.
- Stay current on the changing technology landscape, data ecosystem, industry initiatives and regulatory environment in order to understand the impacts to the business.
- Participate in risk & data management forums, contribute to continuous improvement of risk and data management practices.

**Essential Qualifications - NQF Level**
- Advanced Diplomas/National 1st Degrees

**Preferred Qualification**
- Bachelor's degree in related fields (Commerce, BSc, Finance)
- Preferred Certifications- Risk Certifications (FRM, PRMIA) - advantageous
- DAMA certified data management professional (CDMP) - advantageous
- BI certifications - advantageous
- Data modelling/architecting - advantageous
- Minimum Experience Level- 3 to 5 years of data governance and data management experience, with 5 years of progressive leadership experience
- Recommended:_
- Experience in Financial Institutions
- Experience in Data Life Cycle management
- The position requires strong communication and customer liaison skills, the ability to work independently, a strong analytical and data mind set, technical modelling and DQ skills and the ability to rally people to a common course.

**Required Technical Knowledge and Skills**
- Strong analytical and quantitative skills
- Banking industry knowledge
- Data Modelling
- Entity Relationship Diagrams
- Class diagrams
- Data Flow Diagrams
- Data management skills
- Naming conventions
- MDM
- Meta data
- Standards
- Data extraction and manipulation skills
- ETL
- SQL
- Data profiling
- Statistical analysis
- Data reporting
- Exposure and/or understanding of Data Issue Management
- Hands-on experience of using one or more visualisation tools (e.g. PowerBi)
- Knowledge of data governance policies, standards, risks and controls
- Basic programming skills (VBA, C#, Java, Python etc.)
- Automation and robotics
- Communication of complex information - orally and in writing
- Microsoft office and other data/modelling software
- Relevant business software and system knowledge
- Agile methodology exposure
- Research methodology
- Operational risk management

**Disclaimer**

**_Please contact the Nedbank Recruiting Team at +27 860 555 566_**
- **_Please contact the Nedbank Recruiting Team at +27 860 555 566_


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