Head of Reconciliation at NBC
NBC is the oldest serving bank in Tanzania with over five decades of experience. We offer a range of retail, business, corporate and investment banking, wealth management products and services.
Job Summary
To effectively manage the reconciliations of Nostro, Central Bank, DSM Remote ATMs and Bank`s Suspense Accounts assigned with responsibility of operational and service management.
Manage the performance of the reconciliations team and ensure that they meet or exceed agreed service levels.
Recommended:
Job Description
Accountability: Manage and Control Risks related to reconciliation of Nostro, Central Bank, DSM Remote ATMs and Bank`s Suspense Accounts allocated to Central Reconciliation Unit -50%
- Develop and implement account ownership and reconciliation procedures specific to the business unit in order to deliver the requirements set out in the Operational Control and Support Manual.
- Implement control processes to ensure that all elements of Operational risk e.g Fraud follow up on queries are managed effectively within reconciliations.
- Monitor the compliance with the training requirements relating to the account owners, reviewers and reconcilers.
- Ensure that General Ledgers accounts are reconciled according to the business rules and procedures.
- Oversee recons team on the review of the reconciliations to ensure accuracy and validity.
- Monitor the appropriateness of the allocation of accounts to owners, reviewers and reconcilers, as to the segregation of duties and the number of accounts allocated to each person within COO Reconciliation Unit.
- Ensure items which require escalation are advised to the Chief Operating Officer (COO) immediately.
- Ensure various test on control are performed to ensure reconciliation disciplines are adhered and any exceptions are tracked and followed for closure.
- Prepare minutes of weekly COO Recon Committee and track all agreed actions and follow up to ensure they are closed.
- Follow up to ensure that accounts are reconciled according to the business rules and procedures.
- Coach and monitor team members on improving their productivity and effective use of the bank’s processes and systems.
- Ensure Audit findings on the reconciliation matters are tracked and issue identified are resolved within due dates.
- Perform periodic testing to account owners to ensure compliance to the reconciliation governances.
- Check and challenge reasons for outstanding and action to clear as received by the business units to ensure they are meaningful.
- Ensure monthly attendance of Balance Sheet Review Committee (BSRC) as active member and proper escalations to be made for those entries above SLA(s) are categorized to be reportable to Balance Sheet Review Committee (BSRC).
Accountability: Service Management- 15%
- Acts as an escalation point for complex queries.
- Supports other functions on understanding products and how they feature in the general ledgers end to end.
- Follows up to ensure queries from/to other accounts owners are attended on time.
- Monitors the achievement of service level Agreement.
- Adheres to SLA on accounts and reports and escalates all breaches.
- Follows up and ensures audit findings are closed within due dates.
- Provides ongoing coaching and feedback to Reconciliation team across the bank.
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Accountability: People Management- 15%
- Develop and agree performance objectives, standard targets with the team.
- Provide regular reviews of performance against objectives.
- Provide ongoing coaching and feedback to reconciliation team.
- Recommend to management staff job rotations and training courses for the team.
- Determine and analyse development needs for the team and ensure that identified training requirements are set out in personal training, development plan and budgeted for and executed.
- Establish and maintain a succession plan for the team.
- Build team work and sense of responsibility with in the team.
- Address poor performance of any team member through the formal performance process and ensure that continued poor performance is appropriately dealt with.
- Motivate team members and ensure that their efforts are recognised.
- Participate in the creation and implementation of Employee Opinion Survey (EOS).
- Resolve grievances raised by team members and escalate accordingly.
- Manage Performance Development, ensuring quality of PD plans and ensuring fairness of assessments.
- Explain targets to the team and take accountability for the monitoring and achievement of performance objectives in the department on employee satisfaction, customer experience, cost performance, return on investments, risk, and compliance and governance requirements. Create quarterly and monthly plans to ensure delivery for the year.
- Lay down strategies for achieving contracted target and communicate to team members.
- Review and evaluate the department performance in accordance with the strategy.
Accountability: Management of Operational Risks- 20%
- Reduce the number of outstanding exceptional items.
- Assist on any Audit findings raised and work to close them within the required time frame.
- Ensure that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise Wide Risk Management Framework and internal NBC Policies and Policy Standards.
- Understand and manage risks and risk events (incidents) relevant to the role.
- Escalate suspicious transactions to management to ensure all laid down procedures and policies are adhered to at all times.
- Monitor the differences that reconcilers have identified, and escalate any major differences or out of balance and other discrepancies immediately to the Chief Operating Officer (COO) and stakeholders on a daily basis.
- Identify and report items at risk and advise the Chief Operating Officer (COO) and/or the business controller of any corrective action where required.
Education and Experience Required
- Bachelors Degree in Accounting or equivalent qualification
- IT qualification
- At least 5 years experience in similar Managerial role
- Certified Public Accountant (CPA)
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Qualifications
Administration (Exceeds the requirements), Bachelor`s Degrees and Advanced Diplomas – Accounting, Customer Excellence – Service Delivery (Meets all of the requirements), Digital familiarity (Meets some of the requirements and would need further development), Enabling team success (Meets all of the requirements), Experience in a similar environment at management level, Leading people – Team level (Meets all of the requirements), Openness to change (Meets some of the requirements and would need further development), Planning and organising (Meets all of the requirements)
Enterprise Analytics’ Lead at NBC
NBC is the oldest serving bank in Tanzania with over five decades of experience. We offer a range of retail, business, corporate and investment banking, wealth management products and services.
Job Summary
This role typically involves focusing on the technical and analytical aspects of data within an organization. This role plays a critical part in transforming data into actionable insights to support NBC business decisions. The Enterprise Analytics Lead is responsible for harnessing data and employing advanced analytics techniques to provide actionable insights that drive strategic decision-making and optimize business operations. This role also involves identifying and mining data, performing statistical analyses, applying data visualization techniques, and helping build high quality visualization systems.
Job Description
- Conduct in-depth data analysis to identify trends, patterns, and anomalies within datasets, using statistical and machine learning techniques.
- Develop and implement predictive models, statistical models, and machine learning algorithms to extract valuable insights from data.
- Extract, clean, and pre-process data from various sources to ensure data accuracy, consistency, and readiness for analysis.
- Create data visualizations and reports that effectively communicate insights to both technical and non-technical stakeholders. Use tools like Tableau, Power BI, or other data visualization software.
- Implement data quality checks and validation procedures to ensure data integrity and reliability. Address data quality issues and anomalies as they arise.
- Collaborate with data engineers and IT teams to integrate and consolidate data from multiple sources, ensuring a unified and comprehensive dataset.
- Perform ad-hoc analyses to answer specific business questions and provide quick insights when necessary.
- Continuously improve data analysis processes and models to enhance the efficiency and effectiveness of data-driven decision-making.
- Adhere to data security and privacy regulations, ensuring that data handling and analysis practices comply with relevant laws and policies.
- Collaborate with various departments and business units to understand their data needs, align analytics efforts with business objectives, and provide data-driven recommendations.
- Maintain detailed documentation of data analysis processes, methodologies, and results for future reference and reporting.
- Share knowledge and expertise with team members and stakeholders, promoting data literacy and understanding within the organization.
- Stay updated on emerging data analysis techniques, tools, and technologies, and seek opportunities for professional development.
- Generate regular and ad-hoc reports that summarize key findings and insights from data analyses, providing actionable recommendations to support decision-makers.
- Manage analytics projects, including scoping, planning, execution, and delivery, while meeting project deadlines and milestones.
Education and Experience Required
- Bachelor’s in Computer Engineering/Computer Science/Data Science technical or related experience.
- At least 5 years of Analytical Systems support experience.
- Minimum of 5-years’ experience in data designs and modelling.
- Proven work experience as Data Analyst, Data Specialist, or similar role.
- In-depth understanding of database structure principles.
- Experience gathering and analyzing system requirements.
- Experience in data mining and modelling techniques.
- Experience in SQL and relational and non-relational databases.
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Knowledge, Skills & Competencies:
- Proficiency in data analysis techniques and tools to explore, clean, and transform data into actionable insights.
- Strong SQL skills to query, manipulate, and analyze data stored in relational databases.
- Expertise in data visualization tools like Tableau, Power BI, or similar software to create visually compelling and informative charts, graphs, and dashboards.
- Ability to create data models and use statistical methods to forecast trends and make data-driven predictions.
- Understanding of ETL processes to extract data from various sources, transform it for analysis, and load it into data warehouses or reporting systems.
- Familiarity with data warehousing concepts and structures, including data cubes and star schemas.
- A strong understanding of business operations, objectives, and key performance indicators (KPIs) to align BI solutions with organizational goals.
- The ability to identify complex business problems and use data to propose effective solutions and strategies.
- Excellent communication and data storytelling abilities to convey insights to both technical and non-technical stakeholders.
- Familiarity with various database management systems, including NoSQL databases.
- Proficiency in statistical analysis techniques to derive meaningful insights from data.
- The ability to work closely with cross-functional teams and departments to gather requirements and understand the needs of end-users.
Qualifications
Bachelor’s Degree – Information Technology, Experience in a similar environment
Lead Data Scientist at NBC
NBC is the oldest serving bank in Tanzania with over five decades of experience. We offer a range of retail, business, corporate and investment banking, wealth management products and services.
Job Summary
The role involves fetching information from various sources and analyzing it to get a clear understanding of how an organization performs, using statistical and analytical methods plus AI tools to automate specific processes within the organization and develop smart solutions to business challenges. The objective is to help the organization analyze trends to make better decisions. The role leverages data-driven insights to inform and guide decision-making within an organization. It plays a crucial role in extracting valuable knowledge from large and complex datasets, which can be used to solve specific business problems and drive innovation.
Job Description
Key accountabilities
- Collect, acquire, and integrate data from various sources, such as databases, APIs, and external datasets.
- Ensure data quality and cleanliness through data cleaning and pre-processing.
- Conduct EDA to understand the characteristics of the data, identify patterns, and detect outliers.
- Visualize data using appropriate tools to gain insights.
- Engineer relevant features from raw data to enhance the performance of machine learning models.
- Select and transform variables for predictive modelling.
- Develop and train machine learning models for tasks like classification, regression, clustering, and recommendation.
- Optimize models for accuracy and efficiency.
- Create meaningful and visually appealing data visualizations to communicate findings to stakeholders.
- Apply statistical methods to analyse data and test hypotheses.
- Use statistical tests for significance and confidence interval estimation.
- Deploy machine learning models in production environments.
- Ensure models are scalable, maintainable, and continually monitored for performance.
- Collaborate with cross-functional teams, including data engineers, domain experts, and business analysts, to understand requirements and objectives.
- Develop a deep understanding of the organization’s business goals and challenges.
- Align data science projects with business objectives.
- Adhere to ethical data practices, ensuring data privacy, security, and compliance with regulations.
- Maintain thorough documentation of data analysis, methodologies, and model development for reproducibility and knowledge sharing.
- Stay updated on the latest advancements in data science, machine learning, and relevant technologies.
- Manage data science projects, including scoping, timelines, and resource allocation.
- Prioritize tasks and ensure projects are delivered on time and within budget.
- Establish a feedback loop with stakeholders to incorporate their insights and refine models or analysis.
- Contribute to the development of a data strategy that aligns with the organization’s long-term goals.
- Deliver clear and concise presentations and reports to communicate findings, insights, and recommendations to executives and decision-makers.
- Ensure that machine learning models are interpretable, explaining the rationale behind predictions.
- Implement data governance policies and practices to maintain data quality, integrity, and accessibility.
- Formulate and test hypotheses to answer specific business questions using data
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Education and Experience Required
- Bachelor’s in Computer Engineering/Computer Science/Data Science or related.
- At least 3-5 years of Statistical/Analytical Systems support experience.
- Minimum of 3-5-years’ experience in data science and modelling.
- Proven work experience as Data Scientist, Data Modeler, or similar role.
- In-depth understanding of database structure principles.
- Experience gathering and analyzing system requirements.
- Experience in data mining and modelling techniques.
- Experience in SQL, R, Python, and related technologies.
Knowledge, Skills & Competencies:
- A strong foundation in statistics is crucial for understanding data distributions, making inferences, and creating statistical models.
- Familiarity with machine learning techniques, such as regression, classification, clustering, and deep learning, is essential for predictive modeling and pattern recognition.
- Skilled in data visualization tools to communicate insights effectively.
- Proficiency in programming languages such as Python and R is essential for data manipulation and analysis.
- The ability to preprocess and clean data, handle missing values, and outliers is critical for accurate analysis.
- Proficiency in SQL for database management and querying is often required.
- Familiarity with big data technologies like Hadoop, Spark, or NoSQL databases for handling large datasets.
- The ability to effectively communicate complex findings to both technical and non-technical stakeholders is essential.
- Proficiency in data wrangling tools and libraries to transform and prepare data.
- The ability to craft compelling narratives from data and present findings
- An understanding of the business context and objectives, enabling data-driven solutions that align with organizational goals.
Qualifications
Application of IT systems and tools, Bachelor`s Degrees and Advanced Diplomas – BMI – Business Management and Informatics, Business Analysis, Collaboration with others, Commercial mindset – Junior, Creative and innovative thinking, Experience in a similar environment, Reasoning, Results orientation
