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الخبرة
6 - 12 سنوات
موقع العمل
التعليم
ماجستير في العلوم(أجهزة الكمبيوتر, الاحصاءات)
الجنسية
أي جنسية
جنس
أي
فوائد
Medical Insurance, Annual Leaves As Per Labour Law, Visa
عدد الشواغر
1 عدد الشواغر
الوصف الوظيفي
الأدوار والمسؤوليات
JOB PURPOSE:
To leverage advanced data science methodologies and statistical techniques to analyse customer,
transaction, and compliance-related data, enabling proactive identification and management of financial crime risks across the bank. The role focuses on developing and optimizing compliance models, detecting risk patterns, and applying both data-driven insights and inferred intelligence to highlight emerging themes. Additionally, the position supports investigative processes through robust data modelling and delivers timely, actionable management information reports to key stakeholders for informed decision making.
Key Accountabilities:
1. Data Analysis & Model Development
- Conduct advanced data analysis on customer, transaction, and other compliance-related datasets to identify behavioural patterns, typologies, and emerging risks across multiple compliance domains.
- Develop predictive and analytical models to enhance monitoring capabilities, sanctions screening, customer risk assessments, and support thematic and typology-driven reviews.
- Perform scenario and rule threshold reviews, identifying redundant or non-performing controls and recommending new patterns or models for implementation.
- Correlate investigative data (e.g., alerts, case closures, regulatory reports) to refine detection logic and improve overall compliance effectiveness.
2. Compliance Technology & Framework Enablement
- Support implementation of the Group Compliance Systems Roadmap and ensure alignment with departmental policies and procedures.
- Develop and operationalize structured frameworks for typology-driven investigations using automated workflows and integrated data sources.
- Build and enhance Customer 360-Degree dashboards consolidating sanctions nexus, TBML risk indicators, shell entity exposure, and historical screening data for comprehensive reviews.
3. Advanced Analytics & Continuous Improvement
- Leverage AI/ML models for data aggregation, sectoral analysis, and ownership-chain tracing to strengthen investigative depth.
- Identify opportunities for continuous improvement and sustainability in compliance systems and processes.
- Ensure comprehensive model validation and negative testing for all compliance technology projects.
4. Technology Integration & Change Management
- Assist in feasibility studies for new compliance systems and provide technical input during vendor selection.
- Collaborate with SMEs to design system architecture and manage change requests for compliance platforms.
- Oversee system updates and enhancements in response to identified risks, regulatory requirements, or audit findings.
5. Reporting & Intelligence
- Develop and maintain compliance MI dashboards and centralized intelligence reporting for executive oversight and regulatory assurance.
- Extract and transform data from source systems using logical queries and basic programming for periodic reporting.
- Ensure timely submission of dashboards and reports to management for review.
6. Risk Assessment & Monitoring
- Map identified risks to internal data and systems, quantify potential impact, and escalate vulnerabilities to leadership.
- Deploy scalable solutions for continuous sanctions-risk identification and remediation across high-risk jurisdictions and sectors.
الملف الشخصي المطلوب للمرشحين
Minimum Qualification
- Bachelor’s degree in Computer Science, Data Science, Information Technology, Statistics, or a related
discipline.
(Preferred: Master’s degree in Data Science or Analytics).
Minimum Experience
- At least 6 years of experience in data analytics, risk analysis, or statistical modelling within financial
- services or a regulated environment.
- Minimum 3 years of hands-on experience in Compliance Data Science, including developing and
- validating compliance models, working with large datasets, and implementing advanced analytics solutions in major banking institutions.
- Proven expertise in leveraging data science methodologies (e.g., machine learning, predictive
- modelling) for financial crime risk management.
- Strong understanding of compliance frameworks, regulatory requirements, and financial crime
- typologies (AML, sanctions, TBML).
- Experience with data visualization tools (e.g., Power BI, SAS Visual Analytics) and programming
- languages such as SAS, Python, R, or SQL.
- Familiarity with compliance technology platforms and system architecture for transaction monitoring and
- sanctions screening.
نوع العمل
- دوام كامل
القطاع المهني للشركة
- الخدمات المصرفية
- الخدمات المالية
- الوساطة
المجال الوظيفي / القسم
- سوفت وير تقنية المعلومات
الكلمات الرئيسية
- Data Science
- Data Analytics
- Risk Analysis
- Statistical Modelling
- Compliance Data Science
- Machine Learning
- Predictive Modelling
- Financial Crime Risk Management
- Compliance
- AML
- PowerBI
- SAS
- Python
- R
- SQL
Dicetek LLC
Dicetek is a global IT Solutions and Services Company established in 2006 with its corporate headquarters in Singapore. We continue to expand our global network while providing value-added cost-effective consulting services to our clients. DICETEK has operational offices in India, UAE, Singapore & USA. As a world-class company with a regional focus, we primarily concentrate on providing Information Technology Solutions and Professional Consulting Services, across different verticals like Banking & Financial Services, Telecom, Government, Oil & Gas, Logistics, Supply Chain, Real Estate & Manufacturing. We have a solid reputation in the technology industry for providing excellent services to our clients. Our values are represented by our integrity, thought leadership, and commitment to maintaining a high-level of excellence in the constantly evolving world of Information Technology.
قراءة المزيدFatema Huzaifa - Talent Acquisition Executive
Office No. 307, New Century City Tower, Port Saeed- Dubai, Dubai, United Arab Emirates (UAE)