133 Financial Data Analysis jobs in the United Arab Emirates

We are seeking a seasoned professional to fill the role of Tech Lead in Financial Analytics . The successful candidate will be responsible for showcasing expertise in HFM, Planning and Budgeting, and FDMEE.

• HFM:
• A good understanding of consolidation methods, ICP eliminations, journal adjustments, and finance schedules is essential.
• Experience in building cash flow in HFM is also required.
• The ideal candidate should have experience in writing HFM rules, data grids, and data forms.
• Sound knowledge of member properties and setting up new entities in HFM is necessary.
• Expert experience in building financial reports is expected.
• Experience in creating different mappings in FDMEE, including setting up locations and building import formats, is also required.
• Planning and Budgeting:
• A good understanding of budgeting and forecasting methods is required.
• Experience in developing trend-based forecasting in Hyperion planning is also expected.
• The ideal candidate should have experience in designing approval hierarchies as per customer needs.
• Experience in building data forms, task lists, and navigations is necessary.
• Sound knowledge in building business rules is a must.
• Sound knowledge of member properties is also required.
• Experience in integrating views and tables in FDMEE to extract data for planning is also expected.
• Infrastructure:
• Experience in maintaining Hyperion 11.2 environments in Windows is required.
• Experience in importing SSL certificates, applying application patches, and supporting Windows patches is also necessary.
• Troubleshooting runtime technical issues is expected.
Required Skills:
• Proficiency in Hyperion Financial Management (HFM), Planning and Budgeting, and Financial Data Quality Management Enterprise Edition (FDMEE) is required.
• A strong understanding of consolidation methods, financial schedules, and cash flow management in HFM is necessary.
• Expertise in developing financial reports, writing HFM rules, and managing member properties is expected.
• Experience in designing approval hierarchies, building data forms, and creating business rules in Planning and Budgeting is also required.
• Knowledge of Hyperion infrastructure maintenance, including SSL certificates, application patches, and troubleshooting technical issues, is necessary.
Education Qualification:
• A Bachelor's degree in Computer Science, Information Technology, Computer Engineering, or a related IT discipline is required.

Key Performance Indicators: The ideal candidate should have excellent problem-solving skills, be able to work under pressure, and have strong communication skills.

Work Environment: The role involves working in a team environment with minimal supervision. The successful candidate will be based in a dynamic office environment.

OneBullEx is a crypto futures exchange startup built for speed, reliability, and innovation. Our platform offers advanced futures trading capabilities, including AI-powered 300 SPARTANS trading bots for automated, high-precision strategies. Leveraging cutting-edge AI and machine learning, we deliver real-time performance even during high-volatility market conditions. We combine a user-focused interface with transparent risk management, empowering traders to navigate the fast-moving digital asset markets with confidence.

We are seeking a Data Modeling, Content & Data Quality Engineer to design, build, and scale our semantic and data quality frameworks, ensuring reliable, consistent, and business-aligned data assets across the company.

Mission

Establish and maintain the semantic layer and business metric definitions while building high-quality Gold data layers and curated data service views that empower analytics, product, and business decision-making.

Key Responsibilities

• Domain Modeling – Design and implement subject-area data models to standardize business representation across domains.
• Metric Dictionary – Define and maintain a comprehensive metric dictionary with consistent business logic and calculation standards.
• Data Quality & Lineage – Develop and enforce data quality frameworks, monitor key KPIs, and manage data lineage for transparency and trustworthiness.
• Data Services – Deliver curated data views and Gold-layer services that are easily consumable by analytics, product, and business teams.

Requirements

• 3–6 years of experience in data modeling and data architecture.
• Proficiency with Hologres/MaxCompute or equivalent large-scale data warehouses.
• Hands-on experience in data quality management and data governance practices.
• Strong SQL skills and experience building semantic models and business-facing data assets.
• Ability to collaborate with cross-functional teams to align on business logic and data definitions.

90-Day Objectives

• Deliver subject-domain common data models across key business areas.
• Publish and standardize the company-wide metric dictionary.
• Ensure Gold-layer coverage for priority business use cases.
• Achieve a data quality pass rate 99.9% on critical data pipelines.

Why Join OneBullEx?

• Strategic Leadership – Play a central role in building and scaling a global crypto exchange from the ground up.
• Team Impact – Shape the culture and operational backbone of a company at the forefront of digital asset trading.
• Growth Potential – Join a leadership team with a clear roadmap for international expansion.
• Attractive Package – Competitive compensation and relocation support.

Join to apply for the Data Modeling, Content & Data Quality Engineer role at OneBullEx

OneBullEx is a crypto futures exchange startup built for speed, reliability, and innovation. Our platform offers advanced futures trading capabilities, including AI-powered 300 SPARTANS trading bots for automated, high-precision strategies. Leveraging cutting-edge AI and machine learning, we deliver real-time performance even during high-volatility market conditions. We combine a user-focused interface with transparent risk management, empowering traders to navigate the fast-moving digital asset markets with confidence.

We are seeking a Data Modeling, Content & Data Quality Engineer to design, build, and scale our semantic and data quality frameworks, ensuring reliable, consistent, and business-aligned data assets across the company.

Mission : Establish and maintain the semantic layer and business metric definitions while building high-quality Gold data layers and curated data service views that empower analytics, product, and business decision-making.

Key Responsibilities :

• Domain Modeling – Design and implement subject-area data models to standardize business representation across domains.
• Metric Dictionary – Define and maintain a comprehensive metric dictionary with consistent business logic and calculation standards.
• Data Quality & Lineage – Develop and enforce data quality frameworks, monitor key KPIs, and manage data lineage for transparency and trustworthiness.
• Data Services – Deliver curated data views and Gold-layer services that are easily consumable by analytics, product, and business teams.

Requirements :

• 3–6 years of experience in data modeling and data architecture.
• Proficiency with Hologres/MaxCompute or equivalent large-scale data warehouses.
• Hands-on experience in data quality management and data governance practices.
• Strong SQL skills and experience building semantic models and business-facing data assets.
• Ability to collaborate with cross-functional teams to align on business logic and data definitions.

90-Day Objectives :

• Deliver subject-domain common data models across key business areas.
• Publish and standardize the company-wide metric dictionary.
• Ensure Gold-layer coverage for priority business use cases.
• Achieve a data quality pass rate ≥99.9% on critical data pipelines.

Why Join OneBullEx? :

• Strategic Leadership – Play a central role in building and scaling a global crypto exchange from the ground up.
• Team Impact – Shape the culture and operational backbone of a company at the forefront of digital asset trading.
• Growth Potential – Join a leadership team with a clear roadmap for international expansion.
• Attractive Package – Competitive compensation and relocation support.

Note: OneBullEx is an equal opportunities employer and welcomes applications from diverse candidates.

Job Purpose:

This role will lead the strategic planning, development, and management of the organization's Advanced Analytics Technologies:

Key Responsibilities:

1. Develop, execute and oversees the organization's Advanced technologies strategy to enhance customer engagement and satisfaction.
2. Responsible for development, implementation and support of sophisticated ETL tools such as DataStage, Talend.
3. Expertise and hands-on experience in using and deploying solutions on platforms such as Data Warehouse, Cloudera, and Big Data.
4. Proficiency in NLP tools and deploying use cases for text data processing and model training etc.
5. Ensure seamless integration of the such technologies and associated platform with other enterprise systems and applications.
6. Drive adoption of such technologies and tools and provide training to teams for effective utilization.
7. Lead the design and implementation of AI-powered solutions to streamline business processes and deliver data-driven insights.
8. Collaborate with stakeholders to implement intelligent automation across customer service, sales, marketing, and other business functions.
9. Lead cross-functional teams to deliver projects on time and within budget.
10. Collaborate with business units, IT, and external vendors to align compliance technology initiatives with organizational priorities.
11. Present project updates, progress reports, and strategic plans to senior leadership
12. All the above accountabilities include but not limited to any additional/new tasks or responsibilities assigned by the line Manager

Key Relationship (Internal & External):

• External – Vendors, Regulator, Consultants, Outsourcing Service Supplier
• Internal – Business Units, IT Units, Audits

Job Specification

Education

Min bachelor's degree in IT Engineering with statistics background a plus

Work Experience:

Min 12 to 16 years in leading Advance Analytics roles in financial industries

Technical Competencies

• Proven experience in leading and managing large-scale analytical projects and teams.
• Strong background in analytics strategy development and implementation.
• Hands-on experience with leading-edge technologies like Data Stage, Talend, Cloudera, Confluent etc.
• Handson experience on using and implementing use cases on OpenAI , DeepSeek and TensorFlow etc
• Skilled in deploying AI models using cloud platform such as AWS , Azure or Google etc
• Deep understanding of model governance and open analytics.
• Excellent communication and stakeholder management skills.
• Ability to manage complex projects and drive organizational.

Transformative AI Solutions: A Data Scientist's Dream Role

About this exceptional opportunity: We're seeking a highly skilled Senior Data Scientist to spearhead the design, development, and implementation of cutting-edge statistical models and data-driven solutions for our esteemed clients.

Job Description:

• Develop and implement risk models for treasury operations, corporate lending, wholesale banking, and liquidity management, with a deep understanding of the underlying business context.

Key Responsibilities:

• Build RAROC and RAC optimization frameworks to enhance risk-adjusted returns and capital allocation across business lines.
• Create statistical models for corporate credit risk, including PD, LGD, and EAD models for lending decisions and portfolio management.
• Provide subject matter expertise on Basel requirements, regulatory capital models, and stress testing frameworks.
• Collaborate with business stakeholders in treasury, risk, and corporate banking to translate business requirements into statistical solutions.

Requirements:

• 8+ years of experience in data science and statistical modeling within banking/financial services.
• Proven track record developing risk models for corporate banking, wholesale banking, or treasury functions.
• Advanced degree in Statistics, Mathematics, Data Science, or related quantitative field preferred.
• Strong proficiency in Python and relevant statistical/ML frameworks, coupled with a deep understanding of statistical concepts.
• Hands-on experience with regulatory capital models and Basel framework.
• Strong problem-solving skills and attention to detail.

Benefits & Growth Opportunities:

• Competitive compensation package.
• Comprehensive health insurance.
• Professional development and certification support.
• Opportunity to work on innovative AI projects.
• International exposure and travel opportunities.
• Flexible working arrangements.
• Career advancement opportunities in a rapidly growing AI company.

This role offers a unique chance to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial part in driving our company's success in delivering transformative AI solutions to our clients.

Executive Search & Technical Recruitment Consultant | Global Talent Acquisition Specialist | Human Resources Professional (SHRM & CIPD)

This role will lead the strategic planning, development, and management of the organization's Advanced Analytics Technologies.

• Develop, execute and oversee the organization's advanced technologies strategy to enhance customer engagement and satisfaction.
• Responsible for development, implementation and support of sophisticated ETL tools such as DataStage, Talend.
• Expertise and hands-on experience in using and deploying solutions on platforms such as Data Warehouse, Cloudera, and Big Data.
• Proficiency in NLP tools and deploying use cases for text data processing and model training.
• Ensure seamless integration of these technologies and associated platforms with other enterprise systems and applications.
• Drive adoption of such technologies and tools and provide training to teams for effective utilization.
• Lead the design and implementation of AI-powered solutions to streamline business processes and deliver data-driven insights.
• Collaborate with stakeholders to implement intelligent automation across customer service, sales, marketing, and other business functions.
• Lead cross-functional teams to deliver projects on time and within budget.
• Collaborate with business units, IT, and external vendors to align compliance technology initiatives with organizational priorities.
• Present project updates, progress reports, and strategic plans to senior leadership.
• All the above accountabilities include but are not limited to any additional/new tasks or responsibilities assigned by the line Manager.

• External – Vendors, Regulator, Consultants, Outsourcing Service Supplier
• Internal – Business Units, IT Units, Audits

Min bachelor's degree in IT Engineering with statistics background a plus

Min 12 to 16 years in leading Advanced Analytics roles in financial industries

• Proven experience in leading and managing large-scale analytical projects and teams.
• Strong background in analytics strategy development and implementation.
• Hands-on experience with leading-edge technologies like Data Stage, Talend, Cloudera, Confluent etc.
• Hands-on experience with using and implementing use cases on OpenAI, DeepSeek and TensorFlow etc.
• Skilled in deploying AI models using cloud platforms such as AWS, Azure or Google Cloud.
• Deep understanding of model governance and open analytics.
• Excellent communication and stakeholder management skills.
• Ability to manage complex projects and drive organizational outcomes.

• Mid-Senior level

• Full-time

• Information Technology, Accounting/Auditing, and Product Management

• Banking, Investment Banking, and Financial Services

Referrals increase your chances of interviewing at Talents Tide by 2x

We are seeking an experienced professional to drive critical data gap analysis and modeling work across AI and transformation initiatives.

This forward-thinking role combines business, data, and consulting expertise. The successful candidate will partner with senior stakeholders to understand requirements, map them to existing data assets, identify gaps, and structure findings into clear recommendations for decision-makers.

The ideal candidate will combine a strong grounding in banking data domains with the ability to think ahead about emerging technologies Generative AI intelligent metadata tools reshape how we design manage discover data.

• Lead gap analysis data requirements vs existing assets producing clear mappings structured outputs.
• Translate AI use cases regulatory business needs conceptual logical data models.
• Engage SMEs Risk Finance Treasury CIB RBG elicit requirements validate data assumptions.
• Assess document data quality integrity coverage gaps recommend remediation paths.
• Build reusable data models dictionaries aligned enterprise data strategy governance.
• Partner engineers architects ensure future-proof designs factoring AI-driven tools evolve modelling landscape.
• Produce clear deliverables models frameworks recommendations senior stakeholders governance forums.
• Mentor guide junior analysts consultants uplift overall modelling capability.

• Bachelor's Master's Finance Engineering Computer Science related field.
• 8-12 years experience data modelling data strategy data-driven consulting exposure banking financial services.
• Proven ability translate business problems structured data requirements communicate clearly.
• Experience conceptual logical data modelling physical schema design.
• Strong consulting toolkit structured problem-solving stakeholder management clear communication.
• Solid understanding banking domains CRM Client 360 Risk Finance Treasury regulatory reporting.
• Hands-on experience data modelling tools next-gen approaches.
• Proficiency querying databases SQL sufficient validate profile data.

This position offers unique opportunity shape future AI implementation working talented team professionals forefront technological innovation. Successful candidate play crucial role driving company success delivering transformative AI solutions clients.

• Competitive salary performance bonuses
• Comprehensive health insurance
• Professional development certification support
• Opportunity work cutting-edge AI projects
• International exposure travel opportunities
• Flexible working arrangements
• Career advancement opportunities rapidly growing AI company

Our organization seeks a highly skilled professional to design and implement AI/ML models for financial use cases. This includes credit scoring, anomaly detection, and portfolio optimization.

• Design, develop, and validate machine learning models to drive business value
• Collaborate with cross-functional teams to translate complex technical concepts into actionable insights
• Conduct exploratory data analysis and feature engineering to improve model performance

• Master's or Ph.D. in Data Science, Statistics, or related field
• Strong understanding of financial data and modeling concepts

Lead Data Modeling and Analytics Specialist

This role will oversee the strategic planning, development, and management of advanced analytics technologies to enhance customer engagement and satisfaction.

• Develop and implement a comprehensive data modeling strategy to improve customer experience.
• Implement and support sophisticated ETL tools such as DataStage and Talend.
• Deploy solutions on platforms like Data Warehouse, Cloudera, and Big Data using expertise in NLP tools and model training.
• Ensure seamless integration with enterprise systems and applications.
• Drive technology adoption and provide training for effective utilization.
• Design and implement AI-powered solutions to streamline business processes and deliver data-driven insights.
• Collaborate to implement intelligent automation across various business functions.
• Lead cross-functional teams to deliver projects on time and within budget.
• Collaborate to align compliance technology initiatives with organizational priorities.
• Presentation of project updates and progress reports to senior leadership.

Minimum bachelor's degree in IT Engineering with a statistics background.

12-16 years of experience in leading Advanced Analytics roles in financial industries.

• Proven experience in managing large-scale analytical projects and teams.
• Strong analytics strategy development and implementation background.
• Hands-on experience with leading-edge technologies and deployment of use cases on cloud platforms.
• Deep understanding of model governance and open analytics.
• Excellent communication and stakeholder management skills.