Join the UAE’s largest bank and one of the world’s largest and safest financial institutions. Our focus is to create value for our employees, customers, shareholders and communities to grow through differentiation, agility and innovation. 

We are looking for top talent and your success is our success. Accelerate your growth as you help us reach our goals and advance your career. Be ready to make your mark a top company, in an exciting and dynamic industry.

• The Candidate would be working as a Analytical professional in Finance Transformation & Business strategy team under group finance and will be responsible for effective delivery of projects and possess technical expertise in data analytics, insights & reporting.
• Developing Specific, customized reports / Data visualization, adhoc analysis by involving directly in the technical build out / Support of Databases, query tools, reporting tools, BI tools etc through data compilation & data mining from multiple, cross business sources.
• Using data modelling techniques to bring cohesion to unstructured and semi -structured data.
• Ensures adherence to data management/data governance regulations and policies.
• Applies knowledge of business, customers, and/or products/services/portfolios to synthesize data to 'form a story' and align information to contrast/compared to industry perspective.

KEY ACCOUNTABILITIES:

Generic Accountability

• Collecting Strategic data & designing, engineering & documenting complex data infrastructures.
• Devising & coding novel algorithms from scratch, to help manage the data analytics & machine learning process.
• Must have consultative skills to have the ability to rationalize business need and solution design from business requirements.
• Interact with integrity and a high level of professionalism with all levels of team members and management.
• Handling end-to-end analytical projects starting from problem structuring, solution design, deep-dive, research and final outcome delivery.

Specific Accountability

• Develop a deep understanding of technical systems and business processes to extract data driven insights while identifying opportunities.
• Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency.
• Clearly understand and articulate business requirements by leveraging domain understanding of line of business & product/ function and deliver the results underlining the business problem and appropriate business decision levers.
• Lead & participate in all cross-group projects including design and implementation of database structures, analytics software, storage, and processing.
• Perform analysis, build hypothesis, draw conclusions and communicate clear, actionable recommendation to business leaders & partners.
• Assess the feasibility of AI/ML solutions for business processes and outcomes.

#LI-MA3

Minimum Qualification

• Bachelors or Master’s degree in engineering field like computer science, Information technology or M.sc/M.Phil in Statistics / Mathematics & operations research .
• Experience in developing, implementing model as below:
  • Statistical models – linear regression, logistic regression, time series analysis, multivariate statistical analysis
  • Machine learning models
  • Exposure to deep learning framework & natural language programming.
• Hands on knowledge in one or more of Big Data skills like – SQL, Aster, Teradata, Hadoop, SPARK, H20, Big Query

Minimum Experience

• 8+ years of Core banking experience in areas involving financial accounting and management reporting & moderate level expertise in regulatory reporting in financial sector.
• Strong technical competency in technology, reporting and business intelligence frameworks
• Experience in Power BI, SQL, Big Data platforms, financial modelling frameworks.
• Strong analytical and quantitative skills, critical thinking, investigative problem-solving and decision-making abilities.
• Good understanding of business, data, and systems architecture and knowledge on key systems & engines used in finance industry such as SAP, Oracle , Bloomberg , Moody’s analytics etc.
• Experience working with management to establish effective models and reports.
• Must have exposure into Data Lakes/Azure/Big data platforms and sound knowledge in project documentation framework coupled with capability in Multi-programming languages primarily Python & R, and possible others depending on the need.