Qureos Mentor

Al Etihad Payments

<div>
 
 
 Specialist - Business &amp; System Analysis
 
 
 
 
 
 
 
 
 
 |
 
 About the role
 
 
 
 The
 
 Specialist &ndash; Business &amp; Systems Analysis (BSA)
 
 plays a critical role in bridging business needs with technology solutions, focusing on supervisory technology (SupTech) and enterprise data management initiatives within the banking and insurance domains. This role involves analyzing business processes, gathering and documenting requirements, and supporting the design and implementation of data-driven solutions that enhance regulatory compliance, operational efficiency, and strategic decision-making.
 
 
 
 
 
 
 |What You&rsquo;ll Do
 
 
 <ol>
 <li>
 
 Strategic Business Alignment
 
 </li>
 </ol>
 <ul>
 <li>
 Analyzing business strategies and goals to ensure that technical solutions or enhancements directly support CBUAE&rsquo;s objectives.
 </li>
 <li>
 Identifying opportunities for process improvement and innovation through technology.
 </li>
 <li>
 Conducting market research and trend analysis to stay informed about industry best practices and emerging technologies.
 </li>
 <li>
 Developing business cases to justify investments.
 </li>
 <li>
 Partnering with senior leadership to contribute to long-term strategic planning
 </li>
 </ul>
 
 
 
 
 
 2. Requirements Gathering and Analysis
 
 
 <ul>
 <li>
 Conducting stakeholder interviews, workshops, and surveys with relevant business units (banking licensing, banking supervisory, insurance, enforcement, compliance, etc) to gather business needs and pain points.
 </li>
 <li>
 Understand core central banking and insurance operations to contextualize requirements.
 </li>
 <li>
 Translating high-level business objectives and needs into precise, functional, and non-functional requirements and system specifications.
 </li>
 <li>
 Developing and maintaining requirements documentation, such as Business Requirements Documents (BRDs) and Functional Requirements Specifications (FRSs).
 </li>
 <li>
 Performing detailed analysis of business processes to identify opportunities for improvement and automation.
 </li>
 <li>
 Validating and prioritizing requirements with stakeholders to ensure alignment with business objectives.
 </li>
 <li>
 Monitoring updates from financial regulatory bodies and insurance commissions with regards to regulatory compliance updates and trends.
 </li>
 </ul>
 
 
 
 
 
 3. Solution Design and Evaluation
 
 
 <ul>
 <li>
 Collaborating with IT strategy &amp; architecture, development and data teams to design potential system solutions that meet business requirements.
 </li>
 <li>
 Validating that reporting solutions meet central bank and insurance regulatory submission requirements.
 </li>
 <li>
 Working with data architects, data modellers and data engineers to ensure solutions support enterprise-wide data management including metadata.
 </li>
 <li>
 Aligning business and systems analysis activities with the Solution Development Life Cycle (SDLC) phases including initiation, design, and testing. These include both waterfall and agile SDLC approaches.
 </li>
 <li>
 Evaluating different solution options based on factors like cost, feasibility, and assessing the impact of proposed changes on existing systems and business processes.
 </li>
 <li>
 Creating or enhancing work process flow diagrams, wireframes, and prototypes to illustrate how a solution will work.
 </li>
 <li>
 Providing recommendations for the optimal solution that balances business needs with technical constraints.
 </li>
 <li>
 Support integration of SupTech tools with existing banking and insurance platforms.
 </li>
 <li>
 Maintain traceability matrices to link requirements with supervisory mandates.
 </li>
 </ul>
 
 
 
 
 
 4. Stakeholder Management and Communication
 
 
 <ul>
 <li>
 Serving as the primary liaison between business users, technical teams, and other key stakeholders.
 </li>
 <li>
 Facilitating effective communication by translating technical concepts for business users and vice-versa.
 </li>
 <li>
 Managing stakeholder expectations and ensuring all parties are aligned on project goals and progress.
 </li>
 <li>
 Resolving conflicts and addressing concerns from various stakeholders throughout the project lifecycle.
 </li>
 <li>
 Presenting project updates and key findings to a diverse audience, including senior management.
 </li>
 <li>
 Participating in financial services industry forums and working groups on banking/insurance supervision and enforcement technologies.
 </li>
 <li>
 Tracking performance metrics relevant to regulatory reporting and supervisory analytics.
 </li>
 </ul>
 
 
 
 
 
 5. Business Change Management
 
 
 <ul>
 <li>
 Assisting in business project planning and enhancements together with PMO, including defining scope, creating project timelines, and estimating resources.
 </li>
 <li>
 Contributing to change management plans to ensure smooth transition for all users.
 </li>
 <li>
 Supporting continuous enhancements of the SupTech platform and enterprise data platforms including testing, training, and change management activities.
 </li>
 <li>
 Coordinating quality assurance and user testing activities between relevant business users, IT and any other third parties involved in the initiative
 </li>
 <li>
 Developing user training materials and documentation to support the adoption of new capabilities in the solution including coordinating and overseeing user training sessions.
 </li>
 <li>
 Acting as a change agent to help users adapt to new processes and technologies.
 </li>
 <li>
 Staying informed of industry trends, regulatory changes and emerging technologies in SupTech and data management.
 </li>
 </ul>
 
 
 
 
 
 
 Self-Management Responsibilities
 
 
 
 <ul>
 <li>
 Defines performance goals at the start of the year in discussion with the reporting manager and ensures that the goals are achieved during the course of the year
 </li>
 <li>
 Identifies the training and development requirements for self and agrees on them with the reporting manager to ensure that the required trainings are arranged and attended
 </li>
 <li>
 Strives to achieve the highest levels of proficiency on all the competencies and skills required to perform the role.
 </li>
 </ul>
 
 Keeps abreast of professional developments, new techniques and current issues through continued education and professional growth.
 
 
 
 
 
 
 
 
 
 |Minimum Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Information Systems, Information Technology, Computer Science, or related fields.
 </li>
 <li>
 Good understanding of banking and insurance operations, including core systems, regulatory frameworks, and supervisory processes.
 </li>
 <li>
 Proficiency in business analysis methodologies, including requirements elicitation, process modeling, and gap analysis.
 </li>
 <li>
 Familiarity with SupTech platforms, regulatory reporting tools, and enterprise data management frameworks.
 </li>
 <li>
 Knowledge of data governance, metadata management, and data quality standards.
 </li>
 <li>
 Experience with SDLC, Agile, and DevOps software engineering practices in financial services domains.
 </li>
 <li>
 Knowledge of agile project methodologies and experience working in cross-functional teams.
 </li>
 <li>
 Proficiency in tools such as JIRA or similar tool for managing requirements, user stories, and project tracking, Confluence or similar tool for documentation and collaboration; Microsoft Visio, Lucidchart or similar tool for process modeling and system diagrams; and BPMN tools (e.g., Bizagi, Signavio) for business process modeling.
 </li>
 <li>
 Excellent communication and stakeholder engagement skills.
 </li>
 <li>
 Relevant certifications such as CBAP (Certified Business Analysis Professional), PMI-PBA (Project Management Institute - Professional in Business Analysis), or DAMA (Data Management Association) are a plus.
 </li>
 <li>
 Minimum of 7 years of experience in business systems analysis or product management, preferably within banking or insurance sectors.
 </li>
 <li>
 Proficiency in business analysis tools and techniques, including process modeling and requirements documentation.
 </li>
 <li>
 Demonstrated experience in regulatory compliance projects, including supervisory reporting, enforcement workflows, and audit trail documentation.
 </li>
 <li>
 Prior involvement in RegTech/SupTech initiatives, including stakeholder engagement, testing, and change management.
 </li>
 <li>
 Track record in enterprise data initiatives, such as data warehouse design, master data management, and integration with legacy and modern systems.
 </li>
 <li>
 Experience working with cross-functional teams, including banking licensing, banking supervisory, insurance, enforcement, compliance, etc
 </li>
 </ul>
 
 
 
 
 
 |Technical and Behavioral Skills
 
 
 
 
 
 
 
 Behavioral Skills:
 
 
 <ul>
 <li>
 
 Drives High Performance:
 
 Assigns challenging goals for self and team and ensures efficient delivery, keeping in mind the objectives, goals and vision for the department and organization.
 </li>
 <li>
 
 Manages Stakeholders:
 
 Builds and maintains professional networks and personal relationships with relevant stakeholders who are, or might become, important in ensuring individual as well as organizational success.
 </li>
 <li>
 
 Innovates and Steers Change:
 
 Prioritises creativity and innovation, striving to constantly come up with better or unique ways of doing things. Remains focused and optimistic through challenging situations, adapting quickly and demonstrating agility to changing circumstances to deliver required objectives.
 </li>
 <li>
 
 Builds Capability:
 
 Believes in the capability of oneself and others and invests in strengthening them. Provides resources and support required for individuals to develop critical skill and knowledge to achieve their full potential.
 </li>
 <li>
 
 Driving Business Value:
 
 Reviews situations, opportunities, plans and information in great detail measuring impact on business success. Identifies potential setbacks and creates risk mitigation strategies to reduce risk of failure.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills
 
 
 <ul>
 <li>
 
 Programming Languages:
 
 Proficiency in two or more programming languages.
 </li>
 <li>
 
 Software Development Methodologies:
 
 Understanding of different software development methodologies like waterfall, scum, agile.
 </li>
 <li>
 
 Database Management:
 
 Relational Databases, Database Design and Optimization, Data modeling, indexing, query optimization.
 </li>
 <li>
 
 Development Frameworks and Libraries:
 
 Familiarity with development frameworks and libraries relevant to their programming languages.
 </li>
 <li>
 
 Software Testing:
 
 Understanding of software testing principles and practices, including unit testing, integration testing and automated testing.
 </li>
 <li>
 
 Debugging and Troubleshooting:
 
 Strong debugging skills to identify and fix issues in software applications.
 </li>
 </ul>
 
 
 
 
 
 |Working Conditions
 
 
 <ul>
 <li>
 Full-time position; hybrid/remote options as per company policy.
 </li>
 </ul>
 
 
</div>

Specialist Business & System Analysis - Takamul

<div>
 
 
 Senior Data Scientist
 
 
 
 
 
 
 
 
 |
 
 About the role
 
 
 
 We are seeking a highly skilled and experienced Senior Data Scientist with expertise in Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will have a strong background in data science, machine learning, and natural language processing (NLP). Proficiency in Arabic is optional but will be considered a significant advantage.
 
 
 
 
 
 
 |What You&rsquo;ll Do
 
 
 <ul>
 <li>
 
 Development and Deployment:
 
 </li>
 <li>
 Design, develop, and deploy large-scale language models and RAG systems to solve complex problems.
 </li>
 <li>
 Optimize and fine-tune models to improve performance and accuracy for various applications.
 </li>
 <li>
 
 Research and Innovation:
 
 </li>
 <li>
 Conduct research to advance the state-of-the-art in language models and retrieval-augmented generation.
 </li>
 <li>
 Stay updated with the latest advancements in NLP, machine learning, and artificial intelligence.
 </li>
 <li>
 
 Data Analysis and Processing:
 
 </li>
 <li>
 Collect, preprocess, and analyze large datasets to support model training and evaluation.
 </li>
 <li>
 Implement robust data pipelines to ensure efficient data flow and processing.
 </li>
 <li>
 
 Model Evaluation and Improvement:
 
 </li>
 <li>
 Evaluate model performance using appropriate metrics and methodologies.
 </li>
 <li>
 Identify areas for improvement and implement strategies to enhance model effectiveness.
 </li>
 <li>
 
 Collaboration and Mentorship:
 
 </li>
 <li>
 Collaborate with cross-functional teams including engineers, product managers, and researchers.
 </li>
 <li>
 Mentor and guide junior data scientists and machine learning engineers.
 </li>
 <li>
 
 Documentation and Reporting:
 
 </li>
 <li>
 Document methodologies, experiments, and results comprehensively.
 </li>
 <li>
 Prepare and present reports and findings to stakeholders and team members.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 |Minimum Qualifications
 
 
 
 
 
 <ul>
 <li>
 
 Education:
 
 </li>
 <li>
 Master&rsquo;s or Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.
 </li>
 <li>
 
 Experience:
 
 </li>
 <li>
 Minimum of 2 years of experience in LLM and Gen. AI
 </li>
 <li>
 Minimum of 5 years of experience in data science and machine learning.
 </li>
 <li>
 Proven experience working with large language models (e.g., GPT, BERT) and RAG systems.
 </li>
 <li>
 Experience with natural language processing and understanding tasks.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 |Skills &amp; Competencies
 
 
 <ul>
 <li>
 
 Technical Skills:
 
 </li>
 <li>
 Proficiency in programming languages such as Python, and familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
 </li>
 <li>
 Strong understanding of machine learning algorithms, deep learning, and statistical methods.
 </li>
 <li>
 Experience with data visualization tools and techniques.
 </li>
 <li>
 Familiarity with cloud platforms and services (e.g., AWS, GCP, Azure).
 </li>
 <li>
 
 Optional Skills:
 
 </li>
 <li>
 Proficiency in Arabic language (reading, writing, speaking) is a plus.
 </li>
 <li>
 
 Soft Skills:
 
 </li>
 <li>
 Excellent problem-solving skills and attention to detail.
 </li>
 <li>
 Strong communication and collaboration abilities.
 </li>
 <li>
 Ability to work independently and in a team-oriented environment.
 </li>
 <li>
 Continuous learning mindset and a passion for innovation.
 </li>
 </ul>
 
 
 
 
 
 |Working Conditions
 
 
 <ul>
 <li>
 Full-time position; hybrid/remote options as per company policy.
 </li>
 </ul>
 
 
</div>

Senior Data Scientist - Takamul

Join Al Etihad Payments and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Al Etihad Payments

ABOUT_COMPANY

Specialist Business & System Analysis - Takamul

Senior Data Scientist - Takamul