Business Development Manager 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 main purpose is to drive Loan and Advances, Deposit and alternative product growth at branches. This entails managing of all Sales Activities, Supporting, monitoring and training of Branch Sales Officers in all the respective branches
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Job Description
A. Business Soliciting – Acquisition/Recruitment
- Customer acquisition /recruitment
- Visit existing customer frequently
- Ensure all the customer acquisition point are working perfectly all the time
- To enhance customer experience
- Identify areas / sector relevant for business growth in their locality
- Identification, soliciting, KYC and risks review of potential customers and approach them to open account
- Work with Business Development Partner to initiate development of relevant products to the particular locality
- Consistently give feedback to Head of Customer Network on the performance of different products and services at respective branches
- Engage with Corporate and Institutional Banking (CIB) and Business Banking (BB) departments to understand retail opportunities from their clients (One Bank Concept)
- Address the customer queries in relation to business matters
B. Deposit Mobilization
- Proactively understanding the business dynamics in the locality and take advantage to grow deposit.
- Supervise all the deposit mobilization campaign in branches
- Proactively and continuously solicit deposits from all clients of the Bank to meet Bank’s deposit targets
- Proactive following of activities identified on the branch activity calendar
C. Cross selling
- Cross sale of all bank products – Mobile phone Banking, Internet Banking, Agent Banking products, Insurance Products, all Deposit Products, Loan products FX, Transfer, etc.
- Collection of market intelligence information local competition, products and levels of service
D. Relationship Management
- Drive customer engagement activities in branches
- Going out to interact with Bank’s clients/potential clients in order to win their confidence and create customer loyalty
- Identifying potential clients and strategizing to add them to the list of NBC customers through informative meetings and product discussions
- Developing, building and maintaining long term relationships with all segmented customers by listening to them, problem sharing and joint solution finding
- Manage customer business contacts, participate in corporate customer social occasion and manage all aspects of interactions, the bank has with its customers.
- Maintenance of business acquired to ensure customer activeness and reduce churn
E. Reports, Monitoring & Turnaround
- Maintain database of High net worth customers in the branch.
- Monitoring of branch business growth through KPI
- Loan turnaround time for loans and recovery support
- Responsible for PAR and NPL of the Branch retail loans
- Providing inputs and reports to Stressed Asset Management Units and facilitate recovery efforts at the Branch level
F. Coaching and Mentoring
- Coach and mentor the branch Sales team on regular basis
- Monitor and report performance as per agreed KPIs
Other duties
- Participate in branch budgeting of all Sales related activities
- Carried out other duties as assigned by the Branch Manager.
- Prepare various reports and business proposals for management approval
Education and Experience Required:
- Bachelor Degree in Business Administration
- 3 years banking experience
- Broad knowledge of banking practice( Product knowledge) and bank regulations
Knowledge, Skills and competences required:
- Strong Customer Service management
- Customer Handling awareness
- People Management
- Bank Products awareness
Analytical skills - Selling and cross selling skills
- Awareness of BOT Regulation
- Risk Management
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Qualifications
Bachelor`s Degrees and Advanced Diplomas – Business, Commerce and Management Studies, Commercial mindset – Junior (Meets some of the requirements and would need further development), Customer Excellence – Service Delivery (Meets all of the requirements), Digital familiarity (Meets all of the requirements), Effective communication – Basic (Meets all of the requirements), Experience in a similar environment, Openness to change (Meets some of the requirements and would need further development), Product and/or Service Knowledge (Meets all of the requirements), Sales Management (Meets some of the requirements and would need further development)
How to Apply:
To submit your application, please follow the link provided below.
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
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.
Read Also:
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
How to Apply:
To submit your application, please follow the link provided below.
