You will be part of a forward-thinking data product delivery team, focused on enabling high-quality finance insights for strategic decision-making. The team works in close partnership with finance and technology stakeholders to deliver scalable and sustainable data solutions for the asset management business. We are seeking a skilled Data Modeller with a strong background in Asset Management to join our dynamic data product delivery team. The successful candidate will play a pivotal role in the development and implementation of a finance data mart, supporting critical reporting and analytics for Funds under Management (FUM) and Revenue Allocation processes. This is an excellent opportunity for a detail-oriented professional with deep understanding of finance operations, particularly within the asset management sector.
Eligibility / Qualification Required:
Key Responsibilities:
- Data Modelling: Design and develop robust data models to support finance reporting requirements, with a particular focus on Funds under Management and Revenue Allocation use cases.
- Source-to-Target Mapping: Analyse source systems and define clear mappings to the target data mart, ensuring data integrity and consistency across the finance domain.
- Collaboration: Work closely with business stakeholders, finance subject matter experts, and the development team to translate business requirements into effective data structures.
- Documentation: Prepare comprehensive documentation for data models, mapping specifications, and data flows to support development, testing, and ongoing maintenance.
- Quality Assurance: Support data validation and reconciliation activities to ensure accurate reporting and analytics within the finance data mart.
- Continuous Improvement: Identify opportunities for optimisation and enhancement of data models and data processes in alignment with evolving business needs.
Required Skills & Experience:
- Proven experience as a Data Modeller within the Asset Management industry, with a strong understanding of finance processes.
- In-depth knowledge of Funds under Management reporting and Revenue Allocation methodologies.
- Demonstrated expertise in data modelling tools and techniques.
- Experience with source-to-target mapping, including data profiling and transformation logic.
- Strong analytical and problem-solving skills, with attention to detail.
- Excellent communication and stakeholder management abilities, particularly in translating business requirements into technical solutions.
- Familiarity with data warehousing concepts and finance data marts.
- Ability to work collaboratively in a cross-functional, agile delivery team.
Desirable Qualifications:
- Bachelor’s degree or higher in Finance, Computer Science, Information Systems, or a related field.
- Professional certifications in Data Modelling, Asset Management, or Finance.
- Experience working with cloud-based data platforms and modern data architecture (MS Azure and Databricks).
Required Skills:
- Data Driven Modeling
- Data Modeling Techniques
- Data Modeling Tools
- Microsoft Azure Databricks
Optional Skills:
- Accepting Feedback
- Active Listening
- Agile Scalability
- Amazon Web Services (AWS)
- Analytical Thinking
- Apache Hadoop
- Azure Data Factory
- Coaching and Feedback
- Communication
- Creativity
- Data Anonymization
- Database Administration
- Database Management System (DBMS)
- Database Optimization
- Database Security Best Practices
- Data Engineering
- Data Engineering Platforms
- Data Infrastructure
- Data Integration
- Data Lake
- Data Modeling
- Data Pipeline
- Data Quality
- Data Transformation
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- Government Clearance Required: Yes
General Conditions:
- Travel Requirements: Not Specified
- Available for Work Visa Sponsorship?: No
How to Apply:
Application method and details are not specified in the provided text.
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