Executive Summary
Smart IMS Inc provides Digital technology & Cloud transformation services, Application & Infrastructure Management Services, Unified Communications and Insurance implementation services to customers across the Americas, Europe, Middle East, and Asia-Pacific regions. As the trusted technology and business partner of leading MNCs, including Global Investment Banks, Smart IMS is also a Microsoft Gold Certified Partner, Oracle Platinum Partner and AWS MSP Partner.
We are seeking a highly skilled Data Analyst / Consultant with expertise in entity resolution and data matching to support a critical data mapping initiative. The primary objective of this role is to accurately map internal entity IDs to external identifier sets, ensuring high-quality 1:1 relationships across datasets.
This is an immediate requirement with potential for extension into larger-scale data initiatives.
Key Responsibilities
- Map internal entity identifiers to external identifier systems (e.g., ISINs and other financial entity data)
- Perform entity matching using incomplete or partially structured data (e.g., entity names)
- Apply NLP and fuzzy matching techniques to improve match accuracy
- Ensure clean, reliable 1:1 mappings across datasets
- Work on an initial dataset (2,000-3,000 records) with scalability in mind
- Clean, transform, and standardize unstructured or imperfect datasets
- Collaborate with stakeholders to validate matching logic and outcomes
- Document methodologies and matching rules for future scaling
Required Skills & Experience
- Possess at least 2-5 years of relevant experience in entity resolution / record linkage / data matching
- Hands-on expertise in fuzzy matching techniques and NLP approaches
- Strong experience working with imperfect or unstructured datasets
- Proficiency in Databricks or similar big data platforms (e.g., Spark)
- Solid data wrangling and data engineering skills
- Strong analytical and problem-solving abilities
Preferred Qualifications
- Experience working in financial services or with financial datasets
- Exposure to large-scale data mapping or master data management (MDM)
- Programming skills in Python (libraries such as pandas, fuzzywuzzy, spaCy, etc.)
