New Job Vacancies at CRDB Bank Tanzania – October 2026

The role is responsible for providing second level operational support and maintenance of Office Applications systems which includes but not limited to active Directory Services, Enterprise Email solution and M365 collaboration platforms (teams, one drive etc), Office Automation applications (SharePoint, Intranet, Optima, smart service, iform etc), Enterprise File  Management system. (NetApp), External customer facing platforms (Corporate website, domains etc), Printing services. Incumbent will be responsible to maintain maximum uptime and work closely with business units to achieve organization goals.

• Provide Second line support for all Office Application systems by providing operational support with all business units and ensure systems and services are operating at optimal level.
• Perform daily system health check and monitoring on all Office Applications systems as per system checklists and prepare daily status report.
• Ensure that all issues under Audit, Security and Compliance are attended timely and all raised issues by internal and external auditors are mitigated/resolved on time as per bank policies and procedure.

• Works collaboratively with NOC, SOC and Service Management team by managing all incidents and close all opened tickets within SLA and escalate to vendor in case there is a need.
• Participate on Disaster Recovery activities, system maintenance, Change Management and backup process.
• Working together with other system administrators and vendors in the process of troubleshooting incidents and must be flexible and available for 24/7.
• Coordinate with all relevant business units with regards to training and testing on new and existing application within the unit and attend appropriate training and workshop programs.
• Participate in all ICT projects for holistic visionary and control based on established governance practices and architecture models.
• Carryout other assignment as may be assigning by Manager Office Applications, ICT management and Executive management.

• Bachelors degree in Computer Science, Information Technology, Information Systems, Software Engineering, or a related field.
• Minimum of 3 years experience supporting and administering Microsoft 365 applications and services, preferably within the banking, financial services, or a similarly regulated environment.
• Professional certifications in Microsoft technologies (e.g., Microsoft 365 Certified: Administrator Associate, Microsoft Certified: Modern Desktop Administrator, or related certifications) will be an added advantage.

• Proven experience managing relationships with vendors, service providers, and internal stakeholders to support office productivity solutions and digital workplace initiatives.
• Experience in troubleshooting, supporting, and optimizing enterprise office applications, collaboration tools, and end-user productivity platforms.
• Strong technical knowledge of Microsoft 365 services, including Exchange Online, SharePoint Online, OneDrive, Microsoft Teams, Power Platform, and related productivity applications.
• Proficiency in Microsoft 365 administration, security, user management, licensing, and governance.
• Solid understanding of systems administration principles, including Active Directory, Azure Active Directory (Microsoft Entra ID), and identity and access management concepts.
• Technical knowledge of client and server operating systems, including Windows Server and Microsoft Windows desktop environments.
• Experience with application deployment, configuration, maintenance, troubleshooting, and performance optimization.
• Understanding of information security best practices, compliance requirements, and data protection controls related to office productivity platforms.

Principle Responsibilities

Qualifications Required

The Specialist Data Architecture is responsible for designing, implementing, and governing the  bank’s enterprise data architecture to support the bank’s Data Maturity journey. The role ensures that data is structured, managed, and utilized efficiently to drive business value. The Data Architect will play a key role in enabling Master Data Management (MDM), Data Governance, Data Quality, Metadata Management, Advanced Analytics, and Data Security, ensuring alignment with the bank’s strategic objectives. Furthermore, the role owner is expected to define data models, data standards, integration patterns, and data pipelines to enhance enterprise-wide data accessibility, consistency, and security while supporting regulatory compliance and innovation through data-driven decision-making.

• Design and implement the  Bank’s Enterprise Data Architecture to optimize data accessibility, interoperability, and efficiency across business functions.
• Develop and enforce data modelling and data design standards (conceptual, logical, and physical) to ensure consistency across structured and unstructured data assets.
• Lead data integration strategy and execution, ensuring seamless connectivity between core banking systems, enterprise data warehouses, data lakes, and cloud platforms.
• Establish and maintain metadata management frameworks, including data catalogs, data dictionaries, and lineage tracking for improved data transparency and governance.
• Define and operationalize enterprise-wide Data Quality frameworks, embedding automated validation, profiling, and monitoring mechanisms to enhance data reliability.
• Ensure compliance with regulatory and security requirements, including data classification, encryption, access controls, and data retention policies.
• Architect scalable and cost-efficient data environments that support current and future business needs while ensuring optimal performance.
• Enable AI, Advanced Analytics, and Self-Service BI platforms by ensuring data readiness, accessibility, and governance for predictive analytics and AI/ML models.
• Continuously assess and integrate emerging data technologies and frameworks, including Data Mesh, Data Fabric, and DataOps, to drive innovation and efficiency.
• Collaborate with business and IT teams to provide expert guidance on data-related initiatives, ensuring alignment with enterprise data strategy and digital transformation goals.

• Bachelors degree in Computer Science, Data Science, Information Systems, Information Technology, Software Engineering, Computer Engineering, Statistics, Mathematics, or a related field.
• Minimum of 3 years of experience in Data Architecture, Data Management, or Data Engineering roles.
• TOGAF, CDMP (DAMA), or other Enterprise Architecture and Data Management certifications are an added advantage.
• Big Data, Analytics, and Cloud Data Architect certifications (Cloudera, Snowflake, Databricks, AWS, Azure, Google Cloud, etc.) are beneficial.
• Strong understanding of DAMA-DMBOK principles, Enterprise Data Architecture, Data Governance, MDM frameworks, Metadata Management, and Data Quality practices.
• Proficiency in data modelling and database design techniques, including relational, dimensional, NoSQL, graph databases, ERD, normalization, denormalization, and star schema design.
• Hands-on experience with data integration (ETL/ELT), Data Warehousing, Data Lakes, Data Mesh architecture, SQL, NoSQL databases, Data Catalogs, Metadata Repositories, and enterprise data lake implementations.
• Strong knowledge of cloud platforms, hybrid data architectures, Big Data technologies (Hadoop, Spark, Kafka, Snowflake, Redshift, etc.), Advanced Analytics, AI/ML data pipelines, self-service BI architectures, and Data Security, Privacy, and Compliance frameworks.
• Proven experience in implementing enterprise data architecture, data management frameworks, Data Quality, Data Lineage, Metadata Management, and MDM initiatives, with strong analytical, problem-solving, stakeholder management, and collaboration skills; experience in Financial Services, Banking, or regulated industries is an added advantage.

The role is responsible for overseeing regulatory reporting  to the Bank of Tanzania and other regulatory authorities with applicable laws, regulations, prudential guidelines and reporting standards; while supporting capital reporting and group consolidation activities. The role supports the Bank’s regulatory compliance framework by ensuring accuracy, completeness, consistency, and timeliness of all regulatory returns. The position plays a key role in monitoring regulatory developments, assessing the impact of new regulations, coordinating implementation of regulatory reporting changes, strengthening reporting controls, supporting regulatory automation initiatives, and providing expert guidance on prudential reporting requirements. The Senior Specialist will collaborate with multiple stakeholders across  Finance, Risk, Treasury, Credit, Operations, ICT, Internal Audit, and regulators to ensure adherence to evolving regulatory expectations and reporting obligations.

• Prepare, review, validate, and submit all regulatory reports on a daily, bi-weekly, and monthly within prescribed timelines.
• Ensure completeness, accuracy, consistency, and compliance of all reports submitted to regulatory authorities.
• Perform detailed reconciliations between regulatory reports and source systems, including General Ledger, Trial Balance, Risk, Treasury, and Credit systems.
• Maintain comprehensive and auditable documentation supporting all regulatory submissions.
• Submit the monthly capital position to the Senior  Manager, Capital and Balance Sheet Management.
• Consolidate subsidiary reports for group level reporting.
• Monitor emerging regulatory requirements, circulars, directives, guidelines, and supervisory expectations issued by the  Bank of Tanzania and other relevant authorities.
• Assess the impact of regulatory changes on the Bank’s reporting obligations and coordinate implementation activities.
• Provide regulatory reporting guidance and interpretation to internal stakeholders and participate in industry engagements and regulatory consultations where required.
• Support preparation and validation of Capital Adequacy, Liquidity Ratios, Asset Quality Reports, FX Exposure Reports, Leverage Ratio, and other prudential returns.
• Assist in performing ICAAP, ILAAP, stress testing, sensitivity analysis, and regulatory capital assessments.
• Monitor compliance with regulatory ratios, limits, and prudential requirements and escalate breaches promptly.
• Develop and maintain robust controls over regulatory reporting processes.
• Conduct data quality reviews and investigate reporting exceptions and variances.
• Ensure proper governance over regulatory reporting data sources and reporting methodologies.
• Support remediation of regulatory findings, audit observations, and control weaknesses.
• Collaborate with ICT, MIS, DWH, and business teams to automate regulatory reporting processes, participate in regulatory reporting system enhancements and testing activities, and support implementation of regulatory reporting solutions and data integration projects.
• Drive efficiencies through process optimization, standardization, and digitization initiatives.
• Ensure timely submission of abandoned property returns and other statutory disclosures, support compliance with all relevant regulatory reporting obligations and reporting calendars, and maintain up-to-date regulatory reporting procedures, methodologies, and operating manuals.

• Bachelors degree in accounting, Finance, Economics, Statistics, Mathematics, Banking, Business Administration, Information Systems, Data Analytics, or other related fields.
• Minimum of 3 years experience in regulatory reporting, financial reporting, risk reporting, finance, audit, banking operations, or related functions within the banking or financial services industry.
• Professional qualifications such as CPA(T), ACCA, CFA, or equivalent will be an added advantage.
• Experience with banking systems, data warehousing, and reporting automation initiatives is an added advantage.
• Practical experience in preparation and submission of regulatory returns to Bank of Tanzania or similar regulatory authorities is highly desirable.
• Strong understanding of Bank of Tanzania regulations, prudential guidelines, and reporting requirements.
• Knowledge of Basel II&III requirements, Capital Adequacy, Liquidity Risk Management, ICAAP, ILAAP, and other regulatory frameworks.
• Strong analytical, problem-solving, and data interpretation skills, and ability to review large datasets and identify anomalies, inconsistencies, and reporting risks.
• Excellent communication, stakeholder management, and presentation skills, and strong project coordination and change management capabilities.
• Proficiency in data analysis and reporting tools, demonstrated integrity, accountability, and attention to detail, and ability to work under pressure and meet strict regulatory deadlines.

To provide strategic leadership in driving business growth, revenue generation, market expansion and portfolio profitability for CRDB Insurance’s General Insurance business outside the Bancassurance channel. The role is responsible for developing and executing business development strategies across Brokers, Agencies, SFE, Direct Business and Insurance Digital Platforms (IDPs), with a focus on acquiring new business, expanding distribution channels, building strategic partnerships and creating sustainable profitable growth. The position also ensures the achievement of business targets through effective leadership, market development, and the optimization of alternative distribution channels.

• Develop and execute strategies to grow CRDB Insurance’s General Insurance business and achieve agreed business objectives, revenue targets, and profitability goals.
• Drive premium and revenue growth across Brokers, Agencies, SFE, Direct Business, and Insurance Digital Platforms (IDPs).
• Identify, evaluate, and pursue new business opportunities, customer segments, markets, and strategic partnerships to expand the Company’s market presence.
• Build and maintain strong relationships with brokers, agents, corporate clients, strategic partners, and other key stakeholders to support business growth.
• Develop and strengthen alternative distribution channels while identifying innovative approaches to improve market penetration and customer acquisition.
• Lead the growth of digital insurance distribution channels and identify opportunities to enhance insurance accessibility through technology-driven platforms.
• Drive new business acquisition initiatives and maintain a strong and sustainable pipeline of prospective business opportunities.
• Monitor business performance, customer retention, premium collection, portfolio quality, and profitability, and implement corrective actions where necessary.
• Collaborate with Underwriting, Claims,  Finance, Risk & Compliance, Operations, and other internal functions to deliver sustainable and profitable business growth.
• Provide market intelligence, competitor analysis, and customer insights to support business strategy, product development, and distribution innovation.
• Lead the development and execution of annual business plans, sales strategies, budgets, and performance targets in line with the Company’s strategic objectives.
• Prepare and present business performance reports, growth initiatives, and strategic recommendations to the Managing Director and other senior stakeholders.
• Lead, coach, motivate, and develop the Business Development team to achieve high performance, productivity, and service excellence.

• Bachelors degree in Insurance, Business Administration, Finance, Economics, Marketing, Commerce, Risk  Management, or a related field.
• A Masters degree in Insurance, Business Administration (MBA), Finance, Economics, Marketing, or a related field will be an added advantage.
• Professional insurance qualifications such as ACII, AIIK, CII, or other recognized insurance certifications will be an added advantage.
• Experience in digital insurance distribution, insurance technology platforms, alternative distribution channels, or business innovation initiatives will be an added advantage.
• Minimum of 8 years of relevant experience in the General Insurance industry, with significant experience in business development, sales, distribution or commercial management.
• Minimum of 3 years of experience in a senior management or leadership position overseeing business development, sales or distribution functions.
• Demonstrated track record in developing and executing business growth strategies, market expansion initiatives, and achieving premium, revenue, and profitability targets.
• Proven experience in building,  managing, and expanding broker, agency, corporate, direct sales, and strategic partnership distribution channels.
• Strong understanding of the General Insurance market, regulatory environment, underwriting principles, and insurance business dynamics.
• Strong commercial and financial acumen with the ability to drive portfolio growth, customer retention, premium collection, and sustainable business performance.
• Excellent stakeholder management, negotiation, relationship-building, and partnership development skills.
• Proven leadership experience with the ability to build, coach, motivate, and manage high-performing teams to achieve strategic business objectives.

The Model Risk Analyst assesses and challenges the fitness, limitations and risks of AI and machine learning models throughout their lifecycle. The role performs validation assignments separate from model development, reviews monitoring evidence and tracks findings under the Manager, AI Governance and Model Risk. It supports informed governance decisions without assuming model ownership, deployment authority or formal independent assurance where the required separation has not been established.

• Maintain a risk-based validation schedule with the Manager, covering new models, material changes, periodic reviews and third-party systems.
• Agree intended use, scope, acceptance criteria and required evidence with relevant stakeholders before validation begins.
• Declare conflicts of interest and avoid validating models personally developed or materially modified; escalate independence constraints.
• Examine data provenance, representativeness, labels, feature timing and development/testing separation; identify leakage and unsupported assumptions.
• Reproduce performance calculations and compare results with suitable benchmarks, business thresholds and relevant customer or channel segments.
• Test model stability, calibration, explainability, fairness and sensitivity using proportionate methods and documented limitations.
• Evaluate generative AI outputs for factual accuracy, grounding, harmful bias, robustness and misuse, including reachable prompt-injection scenarios.
• Review evidence for human oversight, monitoring, auditability, privacy and security controls with the accountable specialist functions.
• Assess vendor model evidence critically; identify limitations caused by restricted model access, missing data or unverified supplier claims.
• Produce evidence-linked validation reports with findings, severity, recommendations and a clear distinction between tested and untested matters.
• Track remediation and independently retest assigned findings; escalate unresolved material risks and overdue actions to the Manager.
• Review ongoing model performance, drift, incidents and overrides; recommend revalidation, restrictions, retraining or retirement where warranted.
• Supply accurate model-risk records and committee inputs; report validation coverage, overdue reviews, finding age and repeat defects.
• Support the formally designated independent review function and governance decisions; do not approve own findings for deployment or replace formal approval.
• Assess compliance with the  Bank’s AI Governance Framework, Model Risk Management Standards, Responsible AI Principles, Data Governance Requirements, and applicable regulatory obligations, and report any material gaps or control weaknesses.
• Review model monitoring frameworks, performance thresholds, alert mechanisms, and escalation procedures to ensure ongoing model effectiveness and timely identification of emerging risks.
• Support model inventory management by maintaining accurate records of model classifications, risk ratings, validation status, findings, approvals, and lifecycle reviews.
• Collaborate with Data Scientists, Model Owners, Risk Management, Compliance, Internal Audit, and Technology teams while maintaining appropriate independence in validation activities

• Bachelor’s degree in Statistics, Mathematics, Data Science, Computer Science, Econometrics, Risk  Management, Artificial Intelligence, Machine Learning, Quantitative Finance, Analytics, or a related discipline.
• A Master’s degree in Statistics, Mathematics, Data Science, Artificial Intelligence, Machine Learning, Econometrics, Quantitative Finance, Risk Management, Computer Science, or a related field will be an added advantage.
• Professional certifications in Risk Management, Model Risk Management, Data Science, Artificial Intelligence, Machine Learning, Statistics, Financial Risk Management (FRM), Professional Risk Management (PRM), or related disciplines will be an added advantage.
• Postgraduate study or relevant model-risk, statistical or responsible AI certification is an advantage
• Minimum of 3 years of experience in relevant model validation, quantitative analysis or model-risk experience.
• Strong evidence assessment, report writing, constructive challenge and banking-risk awareness.
• Experience validating machine learning models, predictive analytics models, statistical models, scorecards, forecasting models, or AI-enabled decision systems in regulated or enterprise environments.
• Knowledge of model risk management frameworks, validation methodologies, model governance practices, and model lifecycle management.
• Understanding of responsible AI principles, fairness testing, explainability techniques, bias assessment, model monitoring, and AI governance requirements.
• Working proficiency in Python or R and SQL; ability to reproduce model results.
• Knowledge of statistical testing, calibration, stability, explainability, bias and AI evaluation.