Internship | Job Vacancies at Diamond Trust Bank (DTB)

Regional Managers at Diamond Trust Bank (DTB)

Regional Managers

About the Role:

Reporting to the Head of Asset Finance & Leasing, this role plays a pivotal part in driving business growth within the Asset Finance Unit. The Regional Manager will proactively identify and develop new business opportunities by building strong relationships with customers and key asset dealers (vehicles and equipment), directly contributing to the bank’s growth and performance targets.

As a mid-level leader, the role serves as a critical link between the bank and its partners, acting as a trusted advisor and ambassador for the brand. The successful candidate will be expected to demonstrate high levels of professionalism, commercial acumen, and integrity while nurturing strategic partnerships and delivering value-driven solutions to clients.

Based in key vehicle and equipment hub towns across the country, the role requires agility and a hands-on approach to effectively support branches, partners, and customers across the assigned region. It offers a dynamic opportunity to influence business outcomes, strengthen market presence, and drive sustainable growth in a competitive environment.

Key responsibilities

• Proactively engage with asset dealers (vehicles and equipment) through regular visits to generate quality business leads in line with Asset Finance growth targets.
• Build and maintain a strong and active deal pipeline by targeting medium and large SMEs, PSV SACCOs, and fleet operators, including clients with ongoing asset financing needs.
• Develop, negotiate, and manage joint marketing and promotional initiatives with asset dealers to drive business volumes, and ensure these initiatives are effectively rolled out across branches and relevant teams.
• Identify and drive cross-selling opportunities for other bank products such as current and savings accounts (CASA), insurance, investments, and trade services to deepen customer relationships.
• Collaborate closely with internal teams and departments to fully understand customer needs and deliver tailored asset finance solutions, while also supporting growth in the customer base.
• Coordinate product training sessions and participate in on-the-ground marketing activities in partnership with vendors, dealers, and internal stakeholders.
• Gather and analyze market intelligence, including customer feedback and competitor activity, to support continuous improvement and development of relevant, customer-focused products.

Personal Competencies:

• Strong communication skills, with the ability to clearly present ideas and build rapport with customers and colleagues.
• A team player who works effectively with different departments to achieve shared goals.
• Sharp analytical thinking with the ability to identify challenges and provide practical solutions.
• Proven ability to build, manage, and grow strong customer and partner relationships.
• Self-driven and proactive, with the initiative to identify opportunities and take action with minimal supervision

Skills & Qualifications:

• Bachelor’s degree in business, Finance, Economics, or a related field from a recognized university.
• Minimum of 3 years’ relevant experience in financial services, with a strong preference for candidates with exposure to credit, asset finance, or front-line sales within the motor vehicle or equipment sectors.
• Demonstrated track record in business development, relationship management, and delivering revenue growth.
• Strong knowledge of the local vehicle and equipment financing market, including key industry players, customer segments, and market trends.
• Proven ability to originate deals, manage pipelines, and close transactions effectively.
• A professional qualification or additional training in Sales, Marketing, or a related field will be an added advantage.

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Assistant Manager – Internal Audit Department at Diamond Trust Bank (DTB)

Key Responsibilities:

• Plan, coordinate, and oversee the execution of audit assignments across the Bank’s diverse operations.
• Take a lead role in both routine and special audits conducted within the Bank.
• Ensure that BAC files are accurately completed and submitted within the required timelines.
• Prepare comprehensive and timely audit reports outlining findings and recommending enhancements to procedures and internal controls.
• Review bank procedures and new products across various operational areas, recommend appropriate actions, and prepare value‑adding assessment reports.
• Provide support in audit assignments for the Bank’s subsidiaries when required.
• Drive continuous improvement of operating systems and procedures by reviewing, evaluating, and advising on the internal controls needed to support efficient and prudent financial management across DTB Kenya and its departments.
• Support the department in on‑the‑job training, mentoring, and performance appraisal of audit team members based on assignments completed.

Personal Competencies:

• Excellent communication and interpersonal skills, with the ability to engage confidently and professionally with colleagues across all levels of the Bank, including management and audit stakeholders.
• Self‑driven, goal‑oriented, and able to work independently, demonstrating strong initiative and sound judgment when executing audit assignments with minimal supervision.
• High levels of integrity, professionalism, and ethical conduct, consistent with the standards expected within the Internal Audit function and required for objective, unbiased audit work

Skills & Qualifications:

• A university degree in a relevant field such as Commerce (Accounting), Business Administration, or a related discipline, supported by professional accounting or auditing qualifications such as CPA or ACCA.
• Membership in a recognized professional body such as ICPAK, IIA, or ISACA is preferred.
• Certification from the Institute of Internal Auditors (CIA) will be an added advantage.
• An MBA is also an added advantage.

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Assistant Manager – Treasury Department at Diamond Trust Bank (DTB)

Assistant Manager – Treasury Department

Role Purpose:

An exciting opportunity has arisen for a Treasury Assistant Manager to join the team. This role offers the chance to contribute to the effective management of liquidity, foreign exchange, and interest rate risk exposures, while ensuring compliance with prudential and statutory requirements.

The position also provides a platform to support business growth by building strong client relationships, delivering tailored treasury solutions, and contributing to the achievement of sales and profitability objectives, all within a dynamic and performance-driven environment

Key Responsibilities:

• Support the delivery of competitive foreign exchange pricing to clients, ensuring value for customers while contributing to the Bank’s revenue objectives
• Develop and maintain strong relationships with new and existing clients, supporting the growth of the Bank’s foreign exchange and treasury business
• Contribute to the achievement of Treasury sales targets and overall profitability through proactive client engagement and solution support
• Assist in the review and management of Cash Reserve Ratio (CRR) requirements and the identification of suitable local currency investment opportunities
• Support the assessment and planning of foreign currency funding needs to maintain adequate liquidity levels
• Assist in managing the Bank’s foreign exchange positions in line with approved risk limits and regulatory requirements

Qualifications & Experience:

• A university degree in Finance, Economics, Business Administration, or a related field.
• At least two (2) years of relevant, progressive banking experience, ideally within a Treasury or closely related function

Key Competencies

• Demonstrates the ability to manage multiple and sometimes competing priorities effectively, while maintaining a strong focus on delivering high-quality results
• Able to work independently and manage both short-term deliverable and longer-term objectives in a dynamic work environment
• A logical and solution-oriented thinker with a practical approach to problem-solving and delivering outcomes
• Strong numerical and analytical skills, with the ability to work accurately with detailed and fast-changing financial data
• Strong foundation in financial and analytical concepts.
• Clear and professional communication skills, with a good command of both spoken and written English
• Proficient in standard computer applications, with the ability to prepare clear, well-structured reports and presentations

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Data Science Engineer, Assistant Senior Manager at Diamond Trust Bank (DTB)

Data Science Engineer, Assistant Senior Manager

Job Purpose:

In this role, you will design, build, and optimize the data engines that power DTB’s intelligence. You will develop robust data pipelines, feature stores, model‑serving systems, and scalable big‑data platforms that enable advanced credit scoring, fraud detection, customer intelligence, and a wide range of machine‑learning applications.

You will be at the heart of transforming DTB into a data‑driven organization—ensuring that teams across the bank can rely on high‑quality, trusted, and scalable data to drive smarter decisions, stronger governance, and innovative digital solutions. This is a high‑impact role for a builder, a problem‑solver, and a visionary ready to shape the future of data and AI at DTB

Key Responsibilities:

 Science & ML

• Build and maintain ETL/ELT pipelines that feed modelling datasets from multiple banking systems (CBS, LMS, CRM, Cards, Mobile Banking, Bureau, Collections systems).
• Develop automated data preparation workflows for credit scoring, fraud models, behavioral models, and IFRS9 modelling.
• Create end-to-end ML pipelines integrating feature engineering, data validation, model deployment, and monitoring.
• Manage and Build other Enterprise ETL using tools like ODI , informatica etc.

Big Data Platform Engineering

• Develop scalable data-processing workflows using Spark, Hadoop, Kafka, Airflow, Flink or similar.
• Optimize large datasets (transactional, bureau, behavioural, logs) for modelling in batch and real-time environments.
• Manage distributed computation and ensure reliability and fault tolerance.

Feature Store & Data Assets Management

• Design and maintain a centralized feature store for credit, fraud, marketing, and customer analytics models.
• Ensure feature consistency between training and serving environments.
• Implement versioning, lineage, documentation, and metadata management for data features.

Model Deployment & MLOps

• Collaborate with data scientists to deploy models using MLflow, Docker, Kubernetes, API gateways, CI/CD pipelines.
• Develop automated monitoring pipelines for model performance, drift detection, data quality, and explainability.
• Ensure models operate efficiently in real-time decision engines and batch scoring environments.

Data Quality & Governance

• Implement robust data validation, profiling, anomaly detection, and reconciliation checks.
• Work with Data Governance teams to ensure compliance with IFRS9, Basel, CBK, GDPR, and internal data standards.
• Manage data lineage, cataloguing, and documentation to support audits and regulatory reviews.

Collaboration & Stakeholder Support

• Partner with Data Scientists, Risk, Credit, Fraud, Marketing, and BI teams to align data pipelines with business use cases.
• Work with IT and Infrastructure teams on cluster performance, security, access controls, and SLA adherence.
• Participate in sprint planning, architecture reviews, and model implementation committee sessions.

Performance Optimization

• Improve the efficiency, scalability, and cost of ML workloads.
• Optimize database queries, Spark jobs, Kafka streams, and storage systems.

Qualifications & Experience:

• Strong academic foundation with a Bachelor’s or Master’s in Computer Science, Data Engineering, Data Science, Information Technology, or a related quantitative field.
• 3–7+ years of impactful, hands‑on experience in data engineering, big‑data processing, or building scalable ML infrastructure—ideally within fast‑paced, data‑driven environments.
• Advanced programming capability, with strong proficiency in Python, SQL, and PySpark; experience with Scala is an added advantage.
• Demonstrated expertise in modern data and ML platforms, including:
• Big‑data technologies: Spark, Hadoop, Kafka, Airflow
• MLOps & containerization: MLflow, Docker, Kubernetes
• CI/CD pipelines: GitLab, Jenkins, GitHub Actions
• Cloud platforms: AWS, GCP, or Azure (highly preferred)
• Experience working with banking systems, risk data, or credit‑modelling datasets—a significant advantage that accelerates success in this role.

Key Competencies

• Strong understanding of data structures, distributed systems, and ML workflows.
• Excellent problem-solving, debugging, and optimization skills.
• Fast learner with ability to adapt to new technologies.
• High attention to detail, documentation discipline, and data governance awareness.
• Strong collaboration and communication skills.

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Data Science Engineer, Credit Scoring, ML & Advanced Analytics, Assistant Senior Manager at Diamond Trust Bank (DTB

Job Purpose:

Lead the design and deployment of cutting‑edge machine learning and statistical models that power the bank’s most critical decisions across credit, fraud, customer management, marketing, and operations. Champion innovation within DTB’s risk and analytics ecosystem—driving advancements in credit scoring, alternative data modelling, forecasting, and real‑time decisioning. Your work will strengthen model accuracy, uphold regulatory compliance, and deliver measurable business impact, positioning data and AI at the heart of DTB’s digital evolution.

Key Responsibilities:

Credit-Risk & Lending Analytics (Primary)

• Lead development of credit-risk models:
• Application & behaviour scorecards
• PD/LGD/EAD models (Basel & IFRS9)
• Credit limit assignment & pricing models
• Champion–challenger frameworks
• Build decision engines and real-time scoring capabilities.
• Oversee model monitoring, backtesting, calibration, and governance.

Customer & Product Analytics

• Develop customer lifetime value (CLV) models, churn prediction, segmentation models, and recommendation systems.
• Support pricing optimization for lending & deposits.
• Build models for product cross-sell, upsell, and next-best-action (NBA).

Fraud & Financial Crime ML

• Develop anomaly-detection, fraud detection, and real-time transaction scoring models.
• Implement behavioural biometrics and device-risk models.
• Work closely with Financial Crime & Cybersecurity teams to operationalize models.

Marketing, Personalization & CVM Analytics

• Build targeting models, propensity models, campaign uplift models, and customer segmentation.
• Partner with CVM team to automate customer journeys with ML-driven triggers.

Operational & Forecasting Models

• Forecast loan demand, deposits, NPL trajectories, collections performance, and cash flows.
• Work with Finance on balance-sheet forecasting and stress-testing scenarios.

NLP, Generative AI & Automation

• Develop NLP models for call-centre transcripts, customer messages, chatbots, and complaint classification.
• Implement GenAI for document classification, summarization, and knowledge discovery.
• Guide safe AI adoption, model governance, and prompt engineering.

Data Engineering & Big Data

• Build scalable pipelines using Spark, Hadoop, Kafka, Airflow.
• Collaborate with data engineering on feature stores, ML pipelines, and model CI/CD.

Leadership & Governance

• Mentor data scientists and analysts.
• Lead model governance sessions with Internal Audit, Model Risk, and Regulators.
• Translate complex models into actionable strategies for business leaders.

Qualifications & Experience:

• Advanced academic strength — a master’s degree in Statistics, Machine Learning, Data Science, Applied Mathematics, or Computer Science is highly preferred, showcasing your depth in analytical and quantitative disciplines.
• Proven leadership in data science — 7–12+ years of hands‑on experience building advanced models, including 5+ years specifically in banking credit risk, credit scoring, or regulatory modelling.
• Technical excellence — mastery of Python, SQL, Spark, and modern MLOps tools such as MLflow and Docker, with demonstrated experience implementing machine‑learning solutions at big‑data scale.
• Regulatory and risk expertise — strong, practical knowledge of IFRS9, Basel standards, and CBK model governance requirements, enabling you to build models that are both high‑performing and fully compliant.

Key Competencies

• Expertise that blends deep risk‑modelling mastery with versatile, modern machine‑learning skills, enabling you to build robust, scalable, and intelligent decisioning systems.
• Exceptional communication and storytelling ability, with the confidence to engage C‑suite leaders, influence strategic direction, and clearly articulate model insights to regulators.
• A strong strategic mindset, ensuring every model, feature, and analytical framework directly supports the bank’s business priorities, customer needs, and risk appetite

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Senior Manager, Data Governance, Data Analytics and AI Department at Diamond Trust Bank (DTB)

Job Purpose

The Senior Manager Data Governance will lead the bank’s enterprise-wide data governance strategy, ensuring strong oversight of data quality, metadata, privacy, regulatory compliance, and data lifecycle management. The role manages the entire governance team and serves as a key advisor to the CDO and senior leadership.

Key Roles & Responsibilities

Strategic Leadership

• Develop and implement the enterprise data governance strategy.
• Oversee governance operating model and roadmap.
• Align governance initiatives with architecture and digital programs.

Governance Oversight & Team Leadership

• Lead the data governance team.
• Define KPIs and performance targets.
• Mentor governance managers and technical leads.

Policy, Standards & Framework Management

• Own enterprise data governance policies and standards.
• Implement compliance reviews and audits.

Enterprise Data Quality Management

• Oversee Critical Data Elements (CDE) program.
• Ensure remediation plans and data quality dashboards.

Metadata, Lineage & Data Catalog Implementation

• Govern metadata standards and lineage.
• Ensure accurate data flow documentation.

Regulatory Compliance & Risk Management

• Ensure compliance with CBK, GDPR/DP Act, Basel, CRB, AML/KYC.
• Represent governance in internal and external audits.

Data Governance Council & Stakeholder Management

• Chair Data Governance Council.
• Produce governance reports for executives.

Data Lifecycle & Controls Assurance

• Oversee data lifecycle controls.
• Ensure compliance with system changes and product rollouts.

Culture, Change Management & Data Literacy

• Lead data literacy initiatives.
• Promote a data-driven culture across the bank.

Qualifications & Experience

Minimum Qualifications

• Bachelor’s degree in ICT, Data Management, Computer Science, Statistics, or related.
• Master’s degree preferred.
• Certifications such as DAMA/CDMP/DCAM preferred.

Experience Requirements

• 10+ years in data governance or data management.
• 5+ years leading teams.
• Mandatory financial services experience.
• Experience with data governance tools.

Key Skills & Competencies

• Leadership and team development.
• Knowledge of DAMA/DCAM frameworks.
• Strong banking regulatory knowledge.
• Expertise in metadata, DQ, MDM, and privacy.
• Strong communication and stakeholder engagement.

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Graduate Management Trainee Program at Diamond Trust Bank (DTB)

Title: Graduate Management Trainee Program

Diamond Trust Bank (DTB) invites ambitious graduates to shape their future through its Graduate Management Trainee Program. This program offers hands-on experience, mentorship, and leadership opportunities for young professionals eager to drive innovation and build a successful career in banking.

• Location: Nairobi, Kenya
• Application Deadline: November 30, 2025

Who Should Apply:

• Fresh graduate from a recognised university
• Must have attained Second Class Honours and above
• Below 25 years of age

Why Join DTB:

• Gain practical exposure in banking operations
• Access mentorship from experienced professionals
• Develop leadership skills for future roles

How to Apply

Interested candidates meeting the above requirements are encouraged to apply online via DTB’s official career portal:

Apply Here

Future Leaders Begin at DTB – Shape Your Tomorrow!

Manager, Information Systems Security Audit, Internal Audit at Diamond Trust Bank (DTB)

Role Purpose:          

The Manager, Information Systems (IS) Security Audit, is a key member of the Internal Audit Team tasked with the responsibility of performing cyber security information systems audits throughout the Bank’s IS Infrastructure Systems and Business Applications including audits of complex computer applications and technological   solutions   in accordance with the existing IS Workplan and professional standards on IS auditing, Internal Audit Methodology, processes, procedures and timeframes.

Key Responsibilities:

Under the direct supervision of the Head Information Systems Audit or designate, the incumbent will be expected to, inter alia: –

• Perform IT security audits across the Bank’s IT infrastructure, including DTB Group. 
• Carry out Vulnerability Assessment and Penetration Testing (VAPT) across the DTB Group.
• Review digital products, software development and related systems/Applications/ Application Programming Interfaces – APIs/ software.
• Assess the Software/System development life cycle and management methodology/ approach and Security benchmarks. 
• Review cloud deployments infrastructures and security posture. 
• Participate in any IT-related investigations as and when required.

Academic & Professional Qualifications:

• BSc. in Information Technology/ Computer Science or other IT related Degree.
• Certificate in Cybersecurity OSCP/C-PENT or other VAPT courses. 
• Certificate in IT Audit CISA/ CISM/ CEH/ CHFI/ CISSP. 
• Certificate in cloud engineering.

Relevant Experience

• 5 years’ practical work experience in VAPT and software development, preferably in financial services industry. 
• Good understanding of programming languages such as Python, Java, JavaScript, React, Node JS, etc.  
• Good understanding of various Databases such as Oracle, SQL, Cassandra, Mongo DB, Postgress etc.

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