Vacancy caducado!
- Reviews and evaluates current data architecture and tools.
- Defines an architecture strategy which encompasses the requirements from the different domain areas of the group. The strategy consists of an end-state robust and expandable model, data mining techniques, big data, data streaming, Data Lake, Cloud, visualization tools, and online & batch data reporting streams.
- Defines a convergence plan to the end-state with specific milestones, including workforce re-alignment (if necessary).
- Lead the plan execution, ensuring adherence to the strategic goals and to the firm's guidelines and controls.
- Ability to define high-level data design/architecture including multi-tenant software as services (SaaS) data models.
- Solid technical foundation required to implement the defined design/reference architecture.
- Solid understanding of data life cycle with emphasis on data lineage
- In-depth knowledge in data analytics, including hands-on experience in real-world implementations in one or more key technology areas (e.g. Oracle, Hadoop stack, NoSQL, MSSQL, Ab Initio, Tableau, Snowflake, databricks, Spark).
- Experience in capital markets (Fixed Income, Equities, FX etc.) and their underlying financial instruments.
- Experience in margin processing concepts (mark-to-market, exposures, margin call calculations etc.) preferred.
- In-depth understanding of front-to-back trade processing flows (trading, settlement, market and credit risk, liquidity etc.).
- Bachelor's degree in a technical field such as Computer Science, Computer Engineering or related field required. MBA or other related advanced degree preferred.
- 10+ years of hands-on experience is required.
Vacancy caducado!