Job Description:
Drive large-scale reference data remediation and quality control activities within an enterprise MDM transformation, combining automation-driven cleansing with investigation-based resolution and business stakeholder engagement
.
Key Responsibilitie
- s:
Analyse data quality issues across large datasets (profiling, root-cause analysis, pattern identification) and design scalable remediation approach - es.Define and execute data correction strategies using business rules, standardisation logic, and reference data sources (internal & externa
- l).Investigate complex data conflicts and duplicate entities, assemble evidence, and support authoritative value decisions with audit traceabili
- ty.Partner with business units and system owners to coordinate remediation, enforce ownership, and prevent re-occurrence of issu
- es.Develop validation checks, reconciliation controls, and data quality monitoring metrics to support migration and coexistence phas
- es.Support automation of remediation activities by translating business rules into executable logic with data engineers / scripting tools (SQL/Python preferre
d).
Required Experi
- ence37 years in Data Quality, MDM, Data Governance, or Reference Data within financial services or large regulated environm
- entsHands-on experience with large datasets (millions of reco
- rds)Experience analysing data discrepancies across multiple sys
- temsExposure to onboarding/KYC/counterparty/reference data strongly prefe
- rredFamiliarity with reconciliation, data lineage, or audit evidence proce
sses
Technical S
- killsStrong SQL (manda
- tory)Excel / data analysis tooling (manda
- tory)Basic Python or scripting (preferred but not developer l
- evel)Data profiling / DQ tools (Informatica, Collibra, Ataccama, etc.) he
- lpfulUnderstanding of matching / duplicate detection con
cepts
Please share your resume to Sabrish.a@cap
co.com
