Market Data Consultant
Luxoft · Information technology and consulting
- Location: Singapore (Singapore)
- Work arrangement: on site
- Employment type: Full Time
- Seniority: senior
- Posted:
Job description
Project description
Luxoft looking for an experienced and motivated Consultant who will be based in Singapore office. You will join a team of experienced consultants and participate in the implementation and support of the application.
Responsibilities
- ➢ Key focus is to build an Enterprise Data Management (EDM) system for Market and Referential Data across bank wide to acquire, extract, transform and distribute static and pricing data from vendors such as Bloomberg, Reuters & Super-D. ➢ Asset class coverage includes, but not limited to Equities, Interest-Rates, FX & Commodities. The platform will become the bank's overall Enterprise Rates systems distributing data across Retail, Wholesale and Global Markets banking.
SKILLS
Must have
- 3+ years of working experience.
- Direct experience in Market Data Domain as part of the Enterprise Architecture.
- Well versed in enterprise architecture methodologies for Market Data Domain.
- With NeoXam DataHub, Markit or any other EDM specific product and development experiences to lead the design of Data model, establish as golden Data Source and distribute data to downstream systems at bank's enterprise level.
- Develop a Market Data Services Enterprise architecture blueprint. Establish framework and standards of Data Sourcing from external vendors, Data Quality Check, Data transformation and Distribution to multiple systems across all platforms.
- Analyse user (front to back office) requirements and formulate functional and technical design documents.
- Co-ordinate with vendor on specifications, build, delivery testing, and implementation systems.
- Work with internal Change Control Management team for deployment of changes.
- Work closely with internal infrastructure and security teams for implementations.
- Implement NeoXam's DataHub software solutions at an enterprise level.
Nice to have
• Beneficial to have good grasp of python and other data analytics analysis tools.
Skills
- analytics
- data_science/data_engineering
- python
Languages
EN
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