- It provides foundational architectural solutions for market and reference data that powers Nomura s business. This team is an integral part of Nomura that is responsible for developing and maintaining systems that manage acquisition and distribution of data for the entire organization including front office, middle office, back office, risk, finance and various AI based analytics systems.
- It is responsible for supporting trade settlement and transaction processing technology platform. This team provides day-to-day support for the middle office, operations and regulatory users, and manages vendor and in-house applications. WO IT also owns the applications that provide trade settlement data services to other technology teams from Operations, Finance, Risk, Regulatory and Compliance.
The selected person would be a part of Cross Product Team - Wholesale Data Services Operations Technology focusing on Instruments Data Domain. The roles and responsibilities are as follows:
- Define Reference data Critical Data Element scope and enforce ownership roles (Data Owner, Data Steward, Data Custodian)
- Implementation of Reference Data Quality monitoring and Escalation process.
- Identification of Reference Data Quality issues in a holistic way to strengthen the front to back data acquisition, normalization and distribution process.
- Analysis of new Requirements related to Instrument static - New product type, Field addition for existing product type, Analysis of Data quality issues etc.
- Identify scope for automation to reduce manual processes associated with setup of various Product types.
- Integration with Structured Product creation tools to automate setup of Nomura Issued bonds
- Maintain a running view of all prioritized and backlog items. Manage regular communication with stakeholders, users and internal team about deliveries and Risk issues.
- FSD Creation / Sign Off
Mandatory Skills:
- 4 + years of experience as a BA
- Mandatory knowledge of Financial Products (At least 2 Asset classes) - Bonds (Corporate / Government / CMO / Pools), Equities, Listed Derivatives etc.
- Knowledge of Data Governance concepts - Lineage, Critical Data Element, Data Quality etc.
- Knowledge of at least one of the vendor data sources - Bloomberg / Refinitiv (LSEG) / ICE etc.
- Strong problem-solving experience in a technical environment
- Candidate should be a quick learner. Should have demonstrated in the past quick learning capabilities.
- Strong listening, problem solving, analytical skills and excellent communication skills (both spoken and written English)
- Must be a team player with prior experience in working in a global development team.
- Self-motivated individual, quality and improvement focused.
Desirable Skills:
- Working knowledge of Python, Database, SQL Query
- Experience in any Continuous Integration and Build environment.
- Industry exposure of Investment banking
