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  • Posted: Mar 14, 2018
    Deadline: Mar 28, 2018
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    Stanbic IBTC Holdings PLC is a full service financial services group with a clear focus on three main business pillars - Corporate and Investment Banking, Personal and Business Banking and Wealth Management. Stanbic IBTC Bank legally became part of Standard Bank Group 24th August 2007. The Standard Bank Group merged its Nigerian operations, Stanbic Bank Nig...
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    Specialist, Data Quality Management

    Job ID: 30647
    Location: Lagos Island, Lagos
    Job Sector: Banking

    Job Details

    • Operations: a range of essential and complex services to ensure processes across the bank work as effectively and efficiently as possible.

    Job Purpose

    • Evaluate Stanbic IBTC data sets for quality and accuracy by ensuring that there’s minimal Business impact level for data quality issues.
    • Continuously review the counterpart information in the Client Information File (CIF), regulatory, credit and other core systems across the Group by ensuring that Data Governance and Quality is established and monitored through people, process and technology.
    • Play a strategic role in the data governance strategy for data quality management, consistency, usability, security, currency, and data availability to the organization and customers.

    Key Responsibilities
    Establish a standardized Data Quality Management Program:

    • Ability to understand business process flow and translate that into data quality measurement requirements.
    • Determine data quality improvement recommendations as well as process improvement recommendations for the source systems.
    • Collaborate directly with the Business Data Owners and Data Governance Specialist to establish the business rules that will provide the foundation of the organization's data quality improvement plan.
    • Measures:
      • Approved and signed off defined data standards and business rules
      • Consistent data quality for all tracked metrics
      • Number of recurrent data quality defects

    Assess and remediate Data Quality issues across all Data Domains:

    • Determines data needed to be collected and the appropriate data sources for reports requested by business stakeholders.
    • Works with relevant stakeholders in Enterprise Data Office and IT to identify appropriate data sources.
    • Works on multiple relational database types
    • Demonstrated ability to effectively participate in multiple and concurrent projects
    • Develop and maintain robust and effective review procedures to support universal bank's data quality.
    • Assist the department head on critical projects and tasks.
    • Measures:
      • Level of accuracy of reporting outputs as determined by stakeholder feedback
      • Successful remediation of data issues identified during data analysis
      • Documentation of all Data Domains.

    Establish and implement standards to promote Data Management:

    • Develop and Implement Meta/Master Data, Reference Data, Data Taxonomy and Data Lineage framework for SIBTC Group.
    • Gather meta data and document the data lineage from source systems to downstream data consumers
    • Articulate the need for and benefits of data quality to both IT and Business
    • Provide expert judgements in the bank to address reporting issues at a root cause level.
    • Measures:
      • Stakeholder feedback
      • Level of contribution in engagements with stakeholders
      • Adherence to SLA’s with stakeholders

    Engage relevant stakeholders on all Data Quality Management:

    • Assists with the design of training materials for use by a wide range of stakeholders.
    • Conducts training for stakeholders through the use of available tools and resources such as online training and educational workshops.
    • Takes personal responsibility for assisting others in the team so that team goals can be achieved.
    • Responsible for promoting a culture where the values of the Bank are seen to be ‘alive’.
    • Measures:
      • Stakeholder feedback
      • Level of contribution in engagements with stakeholders
      • Adherence to SLA’s with stakeholders
      • Evidence of value added to business stakeholders through the usage of reporting outputs

    Relationships
    Business area: Data Enablement:

    • Nature of relationship: Receive a service from them
    • Description or examples: Provides the team with data required in order to fulfil the requirements of stakeholders
    • Responsible for ensuring that the data enablement team sources all data requirements at the appropriate level of detail as stated in the BRD.

    Business area: CIB, PBB and Wealth:

    • Nature of relationship: Provide a service to them
    • Description or examples: Provides reports and dashboards on measured metrics to the different business areas
    • Responsible for following up with business representatives to remediate identified data gaps.

    Business area: Data Stewards:

    • Nature of relationship: Influence their service delivery
    • Description or examples: Collaborates with data owners and data stewards and provides adequate guidance on definition of business rules and data quality state.

    Preferred Qualification and Experience
    Qualification:

    • B.Sc in Computer Science/BCOM Informatics/Engineering or Formal Degree with equivalent experience

    Experience:

    • Minimum of 5 years’ experience as a Data Quality Analyst or Information Management or, Business Analytics, or Applications Analyst/Programmer/BI.
    • Demonstrated aptitude towards problem identification, resolution and comprehension and interpretation of technical and business procedures.
    • Requires sound knowledge of quality assurance methods and procedures as well as familiarity with full project life cycle development processes.
    • 3+ years’ experience with SQL, Query Analyzer/PL SQL.
    • 3+ years’ experience with Qlikview Design & Developer
    • 3+ years’ experience with report development.
    • SAP experience advantage
    • Information Technology Regulatory Risk
    • Risk Management RDARR Principles
    • Data Management Management
    • 3-4 Years experience in data profiling, remediation processes, customer data and information life-cycle, including product, sales, customer segmentation, channel, performance measurement, and scorecards.
    • Experience in managing stakeholders and meeting up their expectations.
    • Understanding of data quality management standards and best practices.
    • Basic understanding of the banking industry, balance sheet and income statement components and their relationship to business performance.

    Knowledge/Technical Skills/Expertise
    Data Analysis:

    • Competency Description: Ability to analyse statistics and other data, interpret and evaluate results, and create reports and presentations for use by others.

    Effective Business Communication:

    • Competency Description: The ability to communicate information and ideas in a clear and concise manner appropriate for the audience in order to explain, persuade, convince and influence others to achieve the desired outcomes.

    Data Integrity:

    • Competency Description: The ability to ensure the accuracy and consistency of data for the duration that the data is stored as well as preventing unintended alterations or loss of data.

    Knowledge Management Systems:

    • Competency Description: The knowledge and understanding of the IT systems and processes that are available to be used for the sharing, storing and retrieval of information in the organisation.

    Financial Analysis:

    • Competency Description: An in depth, experiential understanding of more advanced analyses and the way in which financial ratios, trends, and business and value drivers interact.

    Statistical and Mathematical Analysis:

    • Competency Description: The ability to build, analyse and interpret numerical and non-numerical data to determine potential risk exposure and statistical inferences to inform business decisions.

    go to method of application »

    Specialist, Insight and Analytics

    Job ID: 30757
    Location: Lagos Island, Lagos

    Job Details

    • Operations: a range of essential and complex services to ensure processes across the bank work as effectively and efficiently as possible

    Job Purpose

    • To select, interrogate, interpret and present appropriate customer data in order to tactically find ways to inform and influence business decisions based on vital statistical evidence.
    • To develop and present standard and bespoke analytics reports based on business requirements.

    Key Responsibilities
    Business MI needs analysis:

    • Engages with the business to obtain a comprehensive understanding of business goals, challenges and processes and their impact on the data life cycle.
    • Identifies opportunities through which insights and analytics/MI can assist in addressing business challenges, and present these to relevant stakeholders and implement.
    • Identifies business opportunities in support of the business initiatives through analysis of the business management information that may reside inside or outside the business.

    Measures:

    • Approved and signed off BRDs for all new report developments
    • Stakeholder feedback
    • Number of reworks of developed reports

    Perform data analysis:

    • Determines data needed to be collected and the appropriate data sources for reports requested by business stakeholders.
    • Works with relevant stakeholders in Enterprise Data Office and IT to identify appropriate data sources and the possible integration of multiple data sources thereof to support defined business specifications.
    • Formulates techniques for quality data analysis to ensure adequacy, accuracy and legitimacy of data.
    • Troubleshoots data error issues and drive remediation with data quality management team.
    • Reviews identified data for inconsistencies or anomalies that could skew analytical results.

    Measures:

    • Level of accuracy of reporting outputs as determined by stakeholder feedback
    • Successful remediation of data issues identified during data analysis
    • Reconciliation to trusted sources of data
    • Sign off on data testing as required
    • Implementation of business models and analytics

    Produce management information using available tools

    • Performs aggregation of data to identify patterns in the data which translate into key findings.
    • Uses data visualization tools to generate graphical representations that answer business questions and influence decision making.
    • Ensures credibility of available data received to support agreed upon business measures or KPIs.
    • Develops code and reporting processes that are robust, but versatile and easy to change in support of evolving business requirements.

    Measures:

    • Stakeholder feedback
    • Level of contribution in engagements with stakeholders
    • Adherence to SLA’s with stakeholders

    Relationships
    Data Enablement:

    • Nature of relationship: Receive a service from them
    • Description or examples: Provides the team with data required in order to fulfil the requirements of stakeholders. Responsible for ensuring that the data enablement team sources all data requirements at the appropriate level of detail as determined by the BRD.

    CIB, PBB and Wealth:

    • Nature of relationship: Provide a service to them
    • Description or examples: Provides reports and dashboards to the different business areas as required. Responsible for collaborating with business representatives to gather requirements and translate these into business solutions through generation of dashboards and reports.

    Country MI teams:

    • Nature of relationship: Influence their service delivery
    • Description or examples: Collaborates with country teams to validate data and roll out consolidated MI. Responsible for assisting country teams with the MI solution and influencing the teams to adopt a single source of data.

    Preferred Qualification and Experience
    Qualification:

    • B Degree in Commerce, Information Systems, Business Administration, or other related field
    • Data Management qualifications would be an advantage

    Experience:

    • Data Management - Management
      • 5-7 Years experience in customer data and information life-cycle, including product, sales, customer segmentation, channel,   performance measurement, and scorecards.
    • Experience in managing stakeholders and providing a high level of customer service.
    • Understanding of data and BI technologies and practices is required.
    • Experience in the management of asset products and the management of the risks thereof is ideal.
    • Basic understanding of the banking industry, balance sheet and income statement components and their relationship to business performance

    Knowledge/Technical Skills/Expertise
    Data Analysis:

    • Competency Description: Ability to analyse statistics and other data, interpret and evaluate results, and create reports and presentations for use by others.

    Effective Business Communication:

    • Competency Description: The ability to communicate information and ideas in a clear and concise manner appropriate for the audience in order to explain, persuade, convince and influence others to achieve the desired outcomes.

    Data Integrity:

    • Competency Description: The ability to ensure the accuracy and consistency of data for the duration that the data is stored as well as preventing unintended alterations or loss of data.

    Knowledge Management Systems:

    • Competency Description: The knowledge and understanding of the IT systems and processes that are available to be used for the sharing, storing and retrieval of information in the organisation.

    Financial Analysis:

    • Competency Description: An in depth, experiential understanding of more advanced analyses and the way in which financial ratios, trends, and business and value drivers interact.
    • Statistical and Mathematical Analysis
    • Competency Description: The ability to build, analyse and interpret numerical and non-numerical data to determine potential risk exposure and statistical inferences to inform business decisions

    go to method of application »

    Specialist, Data Governance

    Job ID: 30756
    Location: Lagos Island, Lagos
    Job Sector: Banking

    Job Details

    • Operations: a range of essential and complex services to ensure processes across the bank work as effectively and efficiently as possible

    Job Purpose

    • The individual will orchestrate data governance activities for Enterprise Data Management program across multiple business units and requires a strong understanding of policies, standards and processes focused on defining and managing risks and opportunities in the use of data –along with proven expertise in the administration of an enterprise governance program, collaborative communications across a variety of stakeholders and deep knowledge of the banking industry.

    Key Responsibilities/Accountabilities
    Create awareness, develop and enforce data policies and standards:

    • Lead the development, management, communication and enforcement of Acceptable Data Use governance program to define and manage risks and opportunities in the use of data across all lines of business.
    • Direct and manage meetings or discussions required for administration of program which includes gaining consensus across a variety of stakeholders and documenting acceptable data use decisions.
    • Identify controls, potential control gaps and weaknesses for compliance with applicable laws, regulations and policies to include implementing remediation fixes.

    Align Data Management initiatives with Data Governance best practices:

    • Support and supervise information stewardship activities and management of data quality, retention and uses.
    • Support project planning and data management to ensure best practice and legal frameworks are followed with regards to data governance
    • Continually assess and identify risks in line with the risk management approach, ensuring they are mitigated and accounted for work within the data governance programme.

    Co-ordinate all RDARR data initiatives in country:

    • Maintain data standards, definitions, and models (e.g. data dictionary, organizational data model. This may also include any DQA documents such as checklists, guidelines, manuals, templates, forms, etc.)
    • Ensure all RDARR queries and tasks are attended to timeously.
    • Embed RDARR best practices across all business units.

    Define data controls and measurements:

    • Coordinates with operational and reporting data stewards to create data controls, identify measurement and definitions, and manage using dashboards.
    • Maintains ongoing communication with Data Stewards to ensure critical data issues are communicated timely for remediation.

    Relationships
    Internal relationships:

    Risk Management, Compliance, AML and Legal:

    • Consultation on specific Legal and Regulatory issues
    • Solution design

    Group Internal Audit:

    • Consultation on specific issues and Audit Findings relating to organisational Data Management Issues.
    • Solution design

    IT:

    • Supporting/Enabling Systems Architecture
    • IT architecture alignment to Business Architecture

    Ops Control:

    • Reporting on operational risks
    • Reporting

    CIB, PBB and Wealth Business Improvement and Support:

    • Provide guidance and expertise on integration projects and production issues
    • Delivery of quality solutions

    Business Partners:

    • Produce dashboards and/or reports to represent data quality levels, recommendations and progress on any initiatives underway.
    • Reporting

    External Relationships

    Vendors:

    • Data providers of Client and other reference data

    Industry Forums:

    • Networking and keeping abreast of industry news/developments.

    Preferred Qualification and Experience
    Qualification:

    • Bachelor’s degree preferably in Information Systems or Business Administration. Master’s degree in related field is desirable..
    • Data Management qualifications would be an advantage

    Experience:

    • Minimum of 5 years’ experience with providing data governance function and operations.
    • 5 years’ experience working at an enterprise level with customer and reference data.
    • 5+ years’ experience in the Banking Industry
    • Basic knowledge in Data Governance Methodology
    • Basic understanding of company law & banking practices
    • Basic understanding of regulatory requirements e.g. FICA, FATCA, RDARR etc.
    • 3-4 years exeprience in Risk Management Standards and Policies
    • 3-4 years exeprience in Risk Management Regulatory Risk
    • 3-4 years exeprience in Information Technology Data Management

    Knowledge/Technical Skills/Expertise
    Knowledge of Financial Markets:

    • Competency Description: Proven knowledge and understanding of financial markets pertinent to Nigeria

    Knowledge of Operations Management:

    • Competency Description: Demonstrates knowledge and understanding of the Operations environment, products, methodologies and frameworks

    Key systems and applications:

    • Competency Description: Must be proficient in key systems. 

    Risk Management:

    • Competency Description: Demonstrates knowledge and understanding of risk management methodologies, tools, governance structures and regulatory requirements for good management of risk.

    Quality Control:

    • Competency Description: The ability to implement operational techniques and activities that are used to fulfil requirements for quality including; improvement, control, management or assurance of quality.

     

    Method of Application

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