Qureos Mentor

Etihad Credit Bureau

<div>
 
 
 JOB DESCRIPTION SUMMARY
 
 
 
 
 
 
 This role will be responsible for designing, developing, and maintaining scalable data pipelines, ensuring data flow across systems, and optimizing data infrastructure. You will collaborate with cross-functional teams, assist with production support, and drive process optimizations to ensure a seamless data ecosystem for business operations. Strong Databricks experience is a must.
 
 
 
 
 
 
 KEY DUTIES &amp; RESPONSIBILITIES
 
 
 <ul>
 <li>
 
 Data Pipeline Development:
 
 Design, build, and maintain robust data pipelines using Azure Data Factory (ADF), Azure Databricks, ADLS Gen 2 and PySpark, ensuring efficient data collection, processing, and storage from various sources.
 </li>
 <li>
 
 DataBricks Expertise:
 
 Have extensive experience working with DataBricks; including resource provisioning, understanding tools and modules available, and being able to share knowledge and expertise in DataBricks to contribute to optimization of this platform.
 </li>
 <li>
 
 Data Integration:
 
 Integrate data from multiple structured and unstructured sources, including APIs, third-party systems, and databases (SQL, Oracle), ensuring smooth data flow across the ecosystem.
 </li>
 <li>
 
 Data Warehousing:
 
 Design, develop, and optimize data lakes and warehouses on platforms like Databricks, Azure Synapse and ADLS, supporting analytics and reporting needs.
 </li>
 <li>
 
 ETL/ELT Development:
 
 Develop and optimize ETL processes for efficient data extraction, transformation, and loading, using tools like ADF and custom pipelines.
 </li>
 <li>
 
 Process Optimization:
 
 Automate and streamline data workflows (incremental loads, email notifications, pipeline runs) to enhance system performance and reduce costs.
 </li>
 <li>
 
 Production Support &amp; Resolution
 
 : Troubleshoot and resolve production failures within SLAs, ensuring minimal downtime and high data availability. Provide support during business hours and extended hours, (and if critical P1 failures on weekends in rotation with others), as required.
 </li>
 <li>
 
 Go-Live &amp; Project Support
 
 : Support the successful migration and implementation of new code and solutions. Utilizing Azure DevOps CI/CD.
 </li>
 <li>
 
 Team Management
 
 : Lead and manage vendor staff, ensuring smooth execution of projects or operations support as assigned. Ensuring SLAs or project milestones are met on time, and providing mentorship to junior team members.
 </li>
 <li>
 
 Innovation &amp; Optimization
 
 : Design scalable, high-performance data architectures and promote innovation, cost-efficiency, and operational excellence.
 </li>
 <li>
 
 Documentation &amp; Knowledge Transfer
 
 : Create and maintain clear documentation for processes, operations, and technical solutions, including knowledge transfer documents and data catalogue updates.
 </li>
 <li>
 
 Monitoring &amp; System Oversight
 
 : Monitor system performance, identify opportunities for optimization, and ensure platform scalability to meet future needs.
 </li>
 </ul>
 
 
 
 
 
 EDUCATION &amp; SKILLS
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field
 </li>
 <li>
 Proven experience working with cloud-based infrastructure, particularly Azure
 </li>
 <li>
 Proven experience working with DataBricks.
 </li>
 <li>
 Experience with containerization tools (Docker, Kubernetes) and CI/CD pipelines
 </li>
 <li>
 Proficient in English
 </li>
 <li>
 Preferred knowledge of machine learning workflows and model deployment
 </li>
 <li>
 Preferred proficiency in Arabic
 </li>
 </ul>
 
 
 
 
 
 EXPERIENCE &amp; KNOWLEDGE
 
 
 <ul>
 <li>
 6+ years of experience in data engineering, production support, and pipeline management
 </li>
 <li>
 Cloud Platforms: ADLS Gen 2, Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and DevOps, Azure Key Vault
 </li>
 <li>
 Programming/Querying: Python, PySpark, SQL
 </li>
 <li>
 Automation &amp; Monitoring: Custom automation tools, failure email triggers, performance monitoring solutions
 </li>
 <li>
 Preferred experience in project management
 </li>
 <li>
 Excellent leadership, communication, and problem-solving skills is a plus
 </li>
 </ul>
 
 
 
 
 
 ABILITIES &amp; SPECIFIC REQUIREMENTS
 
 
 <ul>
 <li>
 Handles diverse tasks and meets deadlines under pressure
 </li>
 <li>
 Works independently and responsibly
 </li>
 <li>
 Skilled negotiator with vendors
 </li>
 <li>
 Executes clear strategies aligned with corporate goals
 </li>
 <li>
 Communicates effectively with technical and non-technical audiences
 </li>
 <li>
 Leads professionally and fosters teamwork
 </li>
 <li>
 Manages change and adapts quickly with critical thinking
 </li>
 <li>
 Applies systematic problem-solving and agile decision-making
 </li>
 <li>
 Promotes collaboration, innovation, transparency, and accountability
 </li>
 </ul>
</div>

Senior Specialist - Data Engineering (Contract - For Immediate Hire)

<div>
 
 We're seeking an exceptional Model Management to join our Data team!
 
 
 
 
 
 The Model Management supports Principal - Data Analytics in delivering end-to-end data analytics solutions within AECB. This includes ensuring timely and high-quality analysis and the creation of market-level insights. The role is crucial in transforming information into valuable insights that drive business decisions and contribute directly to the growth of the country's economic sector. The incumbent is responsible for building, designing, and prototyping next-generation analytics engines and services, monitor internal Bureau Model on a periodic basis and supports on all Model &amp; Score related Analytical projects. They provide insights to the senior management to facilitate strategic decision-making by leveraging expertise in machine learning, data mining, and predictive intelligence. They lead niche analytics assignments and pilots, assisting customers in achieving their analytical objectives.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Assist the Data Analytics Principal in implementing and closely monitoring the data analytics strategy, roadmap, and implementation plan. Act as a subject matter expert and collaborate with internal and external stakeholders to drive business expansion in the specialized analytics field.
 </li>
 <li>
 Own Bureau Models, develop and maintain model inventory, model remediation tracker, perform regular monitoring activities (in line with the Central Bank guidelines) and support all score-related activities.
 </li>
 <li>
 Manage PoCs from the external partners in close co-ordination with Business, perform Retro scoring for validation purposes.
 </li>
 <li>
 Be an integral member of Model Oversight Panel (MoPa) to present model journey at each model stage, discuss the Model findings and recommend the next steps with clear actionable and timelines.
 </li>
 <li>
 Lead the analysis of any &ldquo;new data source&rdquo; received by the Bureau and its impact on the existing Models and other analytical deliverables.
 </li>
 <li>
 Provide support in end-to-end data analytics activities within the organization. This includes operating and continuously improving data analytics tools and platforms, designing and preparing operational, data quality, and management reports on a periodic basis.
 </li>
 <li>
 Resolve complex problems with large amounts of data in a computationally efficient and statistically effective manner.
 </li>
 <li>
 Assist in generating daily, weekly, monthly, and quarterly data reports that inform decision-making for Heads of Departments and internal committees.
 </li>
 <li>
 Coordinate a team of both internal and external resources involved in daily data analytics activities.
 </li>
 <li>
 Support other Section Managers and Heads of Departments in aligning data analytics initiatives with business objectives and overall corporate goals.
 </li>
 <li>
 Log and address service-desk tickets to resolve internal and external issues related to data analytics and model management.
 </li>
 <li>
 Support and close tickets raised by Customer Experience team on Score Issues, perform the deep-down analysis on the customer issue and resolve them in co-ordination with CX specialists.
 </li>
 <li>
 Lead and assist in developing, monitoring, validating, and enhancing existing credit bureau scores and indicators, such as credit scores for individuals and companies, alternate scores, cheque Score and ECL (PD/EAD/LGD) models leveraging Bureau&rsquo;s developed model monitoring tool &ldquo;Ignite&rdquo;.
 </li>
 <li>
 Create and present to government and regulatory entities (e.g., central bank, DED, SCAD, DCD etc) on score and other analytic capabilities to help develop understanding and build synergies.
 </li>
 <li>
 Manage vendor relationships for analytics deliverables, including testing and validating products/deliverables from vendors. Ensure the highest quality and timely delivery within the allocated budgets, which is a critical responsibility of the team.
 </li>
 <li>
 Conduct market analysis and identify trends to develop benchmarking reports and assess analytics products in the market.
 </li>
 <li>
 Develop analytical tools and technologies for standardized and automated data extraction from databases for algorithms and processes.
 </li>
 <li>
 Bring an "Economist eye" to the implementation of new reports, dashboards, and products, with a specific focus on benchmarking reports.
 </li>
 <li>
 Manage and ensure timely delivery of all enhancements related to data analytics tools and platforms. This involves managing the end-to-end project lifecycle, liaising with the Project Management Office (PMO) function, and coordinating accurate implementation, system testing, and user acceptance testing (UAT).
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 
 Education:
 
 
 <ul>
 <li>
 Education specialization or master&rsquo;s degree in Statistics, Economics, or related field
 </li>
 <li>
 Proficient in English
 </li>
 <li>
 Proficient in Arabic (preferred)
 </li>
 </ul>
 
 
 Experience:
 
 
 <ul>
 <li>
 Minimum experience of 4-6 years in data analytics &amp; Model Management role
 </li>
 <li>
 Hands-on track experience in executing data strategies and delivering results
 </li>
 <li>
 Knowledge in credit bureau, information services or technology-driven industries
 </li>
 <li>
 Expertise in developing credit risk scorecards and risk strategies using statistical and AI/ ML based techniques
 </li>
 <li>
 Knowledge of reporting packages (Business Objects etc), databases (SQL etc), programming (XML, JavaScript, or ETL frameworks)
 </li>
 <li>
 Knowledge of statistics and experience using statistical packages for analyzing large datasets (Excel, SPSS, SAS) (R, Python, PySpark)
 </li>
 <li>
 Experience with Bl tools and reporting software (e.g., MicroStrategy, Tableau, Pentaho, MS Power Bl, MS Excel)
 </li>
 <li>
 Able to deal with varied tasks and to work under pressure to meet deadlines and targets
 </li>
 <li>
 Able to work effectively and responsibly without close supervision
 </li>
 <li>
 Demonstrates critical thinking and problem-solving capabilities
 </li>
 <li>
 Demonstrates strong Ethical &amp; Professional values
 </li>
 <li>
 Able to foster a culture of collaboration, innovation, transparency, accountability, and flexibility
 </li>
 <li>
 Able to execute clear strategies and corporate requirements
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Opportunities for continuous learning, certifications, and professional development.
 </li>
 <li>
 Dedicated to building a diverse and inclusive workplace where everyone feels valued and empowered to be their authentic selves.
 </li>
 <li>
 Committed to building a stable, forward-thinking organization where innovation thrives.
 </li>
 </ul>
</div>

Model Management

<div>
 
 
 JOB DESCRIPTION SUMMARY
 
 
 
 
 
 
 The Machine Learning Engineer role will specialise in maintaining scoring models, production system maintenance and high-availability operations. You'll orchestrate and maintain our AzureML/Databricks-based scoring engine, ensure 99.99% uptime for production models, perform emergency fixes, and manage QA/UAT processes. This role partners with data scientists to operationalize models and data engineers to ensure efficient data flows.
 
 
 
 
 
 
 KEY DUTIES &amp; RESPONSIBILITIES
 
 
 <ul>
 <li>
 
 Production Model Maintenance:
 
 Monitor, troubleshoot, and rectify issues in deployed credit scoring models (e.g., score drift, feature misalignment, output anomalies).
 </li>
 <li>
 
 Platform Orchestration:
 
 Manage AzureML pipelines &amp; Databricks workflows for model retraining, batch scoring, and real-time inference.
 </li>
 <li>
 
 High-Availability Engineering:
 
 Ensure 24/7 uptime of scoring APIs serving banking clients; implement failover systems and load balancing.
 </li>
 <li>
 
 Release Management:
 
 Oversee QA/UAT processes for model updates including back-testing, shadow deployments, and canary releases.
 </li>
 <li>
 
 Model Governance:
 
 Maintain audit trails for model versions, inputs/outputs, and performance metrics. Support Compliance and Audit with creation of logs when requested.
 </li>
 <li>
 
 Incident Response:
 
 Lead troubleshooting of scoring engine failures with SLAs for financial institution clients.
 </li>
 <li>
 
 Infrastructure Optimization:
 
 Tune AzureML/Databricks clusters for cost-performance efficiency at scale.
 </li>
 <li>
 
 Vendor Management:
 
 Ensure vendor support is completing work as per scope and SLAs. Rectifying any vendor delivery issues.
 </li>
 </ul>
 
 
 
 
 
 EDUCATION &amp; SKILLS
 
 
 <ol>
 <li>
 Educated with at least bachelor&rsquo;s degree or equivalent in related field
 </li>
 <li>
 Education specialization or master&rsquo;s degree in computer science, Software Engineering
 </li>
 <li>
 Proficient in English
 </li>
 <li>
 Preferred proficiency in Arabic
 </li>
 <li>
 In-depth knowledge of React Native and Next JS and related modules, components and libraries
 </li>
 <li>
 Preferred In-depth knowledge of SiteCore or experience integrating with SiteCore
 </li>
 </ol>
 
 
 
 
 
 EXPERIENCE &amp; KNOWLEDGE
 
 
 <ol>
 <li>
 Bachelor's/Master's in Computer Science, Engineering, Data Science, or related field
 </li>
 <li>
 2+ years in Data Science or Software Engineering experience
 </li>
 <li>
 2+ years production ML operations experience, MLOps lifecycle management, including monitoring, retraining, and model versioning.
 </li>
 <li>
 Strong problem-solving skills and the ability to resolve issues efficiently.
 </li>
 <li>
 CI/CD for ML systems using tools such as Azure DevOps, GitHub Actions, MLflow, and other similar tools
 </li>
 <li>
 Ability to adapt ML workflows across different cloud environments (Azure, AWS, GCP) as needed.
 </li>
 </ol>
 
 
 
 
 
 ABILITIES &amp; SPECIFIC REQUIREMENTS
 
 
 <ol>
 <li>
 Practical experience in cloud-based ML platforms such as AzureML, Databricks, or equivalent (e.g., SageMaker, Vertex AI), with a preference for Azure.
 </li>
 <li>
 Python/PySpark for model debugging and patching. Working knowledge of Scikit-Learn and NumPy
 </li>
 <li>
 Deep understanding of credit scoring systems: feature engineering, scorecard interpretation, and output validation
 </li>
 <li>
 Credit bureau data structures (tradelines, inquiries, public records)
 </li>
 <li>
 Model risk management (MRM) standards
 </li>
 <li>
 Azure Solutions Architect or MLOps certifications
 </li>
 <li>
 Experience with financial services-grade SLAs (99.9% uptime) and outage management
 </li>
 <li>
 Knowledge of containerization (Docker, Kubernetes, AKS, or similar orchestration tools)
 </li>
 <li>
 Practical experience with Azure Data Factory (ADF) and Azure Data Lake Storage (ADLS) / Azure Blob Storage
 </li>
 <li>
 Knowledge of new and upcoming AI tools
 </li>
 <li>
 This is contained within the earlier requirement of python. If the plan is for this resource
 </li>
 <li>
 Excellent written and verbal communication skills English
 </li>
 <li>
 Strong interpersonal skills with the ability to engage and build relationships
 </li>
 <li>
 Crisis management under pressure
 </li>
 <li>
 Cross-functional collaboration with data science/risk teams
 </li>
 <li>
 Strong organizational skills with the ability to manage multiple tasks and projects simultaneously.
 </li>
 <li>
 Ability to develop and document procedures, roles, and guidelines.
 </li>
 <li>
 
 Security and Compliance
 
 Especially in financial services, mention data security, PII handling, and compliance with regulations
 </li>
 </ol>
</div>

Machine Learning Engineer (Contract - For Immediate Hire)

Join Etihad Credit Bureau and explore 3   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.

Etihad Credit Bureau

ABOUT_COMPANY

Senior Specialist - Data Engineering (Contract - For Immediate Hire)

Model Management

Machine Learning Engineer (Contract - For Immediate Hire)