domain. The role focuses on designing, implementing, and maintaining
Financial Services Data Model (FSDM)
-based data models to support regulatory reporting, analytics, and enterprise data platforms.
The ideal candidate will have strong expertise in
logical and physical data modeling
, hands-on experience with
FSDM
, and a solid understanding of
banking data domains
.
Key Responsibilities
------------------------
###
Data Modeling & Architecture
Design, develop, and maintain
logical, physical, and conceptual data models
based on
FSDM
standards.
Customize and extend the FSDM to align with business requirements while ensuring model integrity.
Translate business and regulatory requirements into scalable data models.
###
Banking & Regulatory Alignment
Support data models for
regulatory reporting
, risk, finance, and compliance use cases.
Ensure alignment with industry standards and internal data governance frameworks.
Collaborate with risk, finance, and compliance teams to ensure accurate data representation.
###
Data Integration & Platform Support
Work closely with data engineers and architects to implement data models in
data warehouses, data lakes, and reporting platforms
.
Support data integration from multiple source systems into enterprise data platforms.
Ensure consistency of data definitions and lineage across systems.
###
Data Governance & Quality
Define and maintain
data definitions, business rules, and metadata
.
Support data quality initiatives, including validation rules and reconciliation checks.
Participate in data governance activities such as data dictionaries and business glossaries.
Required Skills & Experience (Must Have)
---------------------------------------------
6-7 years of experience
in data modeling within
Banking or Financial Services
.
Strong hands-on experience with
FSDM (Financial Services Data Model)
.
Expertise in
logical and physical data modeling
.
Strong understanding of banking domains such as
Risk, Finance, Treasury, Loans, Deposits, and Regulatory Reporting
.
Experience working with
enterprise data warehouses and data lake architectures
.
Proficiency in data modeling tools such as
Erwin, PowerDesigner, Sparx EA, or similar
.
Strong SQL knowledge for data analysis and validation.
Nice to Have
----------------
Experience with
BCBS 239
, IFRS 9, or other regulatory frameworks.
Exposure to
cloud data platforms
(AWS, Azure, or GCP).
Knowledge of
data governance tools
and metadata management platforms.
Experience working in
Singapore or APAC banking environments
.
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