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Data Strategy Modeling

This role is for a Data Strategy Modeling expert with over 10 years in securities services. It offers a contract of more than 6 months at a competitive pay rate. Key skills include data modeling, governance, and familiarity with SQL and cloud solutions. Certifications in data management are preferred.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
💰 - Day rate
Unknown
Unknown
386
🗓️ - Date discovered
February 11, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Unknown
📄 - Contract type
Fixed Term
🔒 - Security clearance
Unknown
📍 - Location detailed
London
🧠 - Skills detailed
#Data Management #Collibra #Documentation #Classification #Data Architecture #Data Governance #GCP (Google Cloud Platform) #Security #AWS (Amazon Web Services) #Data Strategy #Metadata #Data Modeling #Cloud #Informatica #Physical Data Model #GDPR (General Data Protection Regulation) #Strategy #SQL (Structured Query Language) #Leadership #Azure #Data Lineage #Data Engineering #Compliance #"ETL (Extract #Transform #Load)" #Alation #Data Pipeline
Role description
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Data Strategy Modeling
• Define and create entity relationship models ERMs for securities services aligning with global bank standards
• Establish subject areas subsubject areas data attributes and data dictionaries for securities services
• Ensure the logical and physical data models align with the banks enterprise data strategy and master reference data models
• Collaborate with enterprise data architects to define and standardize data lineage governance and quality frameworks
• Develop data taxonomies and classifications for various securities services functions

Domain Expertise in Securities Services
• Provide deep expertise in the data and processing lifecycle of custody securities lending fund services transfer agency Securities Borrowing Lending and collateral
• Work closely with business teams to map business processes to data models ensuring data captures all necessary operational elements
• Identify critical data elements CDEs across securities services functions and ensure proper documentation and governance
• Align data models with regulatory reporting requirements across various jurisdictionseg SEC ESMA MAS HKMA

Master Reference Data Management
• Define master and reference data structures for securities services eg security master counterparty data legal entity reference data accounts
• Work with data governance teams to enforce data policies and controls
• Ensure seamless integration with global financial market infrastructure FMIs such as DTCC Euroclear Clearstream

Data Governance Compliance
• Define and implement data governance frameworks including ownership stewardship and lineage tracking
• Ensure compliance with BCBS 239 GDPR and other regulatory requirements
• Work with risk and compliance teams to ensure accurate reporting of exposures liquidity and capital adequacy

Crossfunctional Collaboration
• Partner with IT data engineering and analytics teams to implement robust data pipelines and integrations
• Work with front middle and back office teams to understand data needs across trade lifecycle
• Provide leadership in data standardization initiatives across global securities services platforms

Required Qualifications Skills
Domain Expertise in Securities Services
• 10 years of experience in securities services custody securities lending collateral or transfer agency
• Deep understanding of global custody models trade lifecycle and asset servicing
• Experience with corporate actions proxy voting income processing and reconciliations

Data Expertise Modeling
• Strong knowledge of data architecture data modeling ER star schema dimensional and metadata management
• Experience creating entity relationships subject areas subsubject areas and data dictionaries
• Familiarity with metadata tools Collibra Alation Informatica EDC etc
• Knowledge of SQL data warehousing and cloudbased data solutions AWS Azure GCP

Preferred Qualifications
• Certifications in Data Management CDMP DAMA Financial Services CFA FRM CAIA
• Experience in enterprisewide data transformation programs in a global bank
• Background in AIMLdriven data analytics for securities services