Job Title: Associate

Department: CEFS – Client Referential

About Business Line/Function

The Client Referential team in ISPL is responsible to process creation and the updates of the referential data of the Counterparts and the other Static Data modules and ensure the permanent quality of these data contained in the Global Referential database CRDS and other systems that require client level information updated, across multiple countries and regions like APAC, EMEA and North America.

Position Purpose

Resource will be a part of the Reference Data team within Client Engagement and Financial Security

Responsibilities

Direct Responsibilities

1 Maintain referential data include SSI’s listed in CRDS, Atlas II, Signplus. OMR and other downstream systems, with respect to the operational procedures and service agreements.

2 Follow standard procedure and ensure accurate information is setup for the client

3 Carry out verification of requests processed to ensure optimum quality

4 Train new staff on procedure and best practices





5 Participating to each UAT period before the implementation of each new release in production

and propose enhancement of data management.

Contributing Responsibilities

1 Provide a production and a quality of service towards multiple Business lines/functions and in turn to

External customers.

2 Active participation in regular review of operational procedural changes /requirements during processing

function / staff meetings.

3 Active participation in Projects / System Changes / UAT / new system implementation when required.

4 Contribute to develop & propose ideas for a better partnership with Business and On-shore

5 Prepare MIS/KPI reports as and when required or requested by stakeholders

Technical & Behavioral Competencies

1 Accuracy and rigor

2 Team player

3 Result oriented

4 Ability to Multi- Task

5 Dedication and committed

Specific Qualifications

University Graduate
2-4 years experience in Reference Data
Adaptable with shift

📌 Associate (Mumbai)
🏢 BNP Paribas
📍 Mumbai