Job Summary
- A strong, verifiable track record as a hands‑on Business Data Analyst, delivering meaningful outcomes through deep analysis of complex, high‑volume datasets and structured problem solving.
- Proven experience with front‑office investment‑banking data and strong Fixed Income & Currencies domain expertise, with solid understanding of sales workflows enabling clear interpretation of data issues in business context.
- Strong understanding of data architecture and data‑modelling principles, combined with advanced experience querying, exploring, and investigating large‑scale datasets using technologies such as Oracle, KDB, or ClickHouse; familiarity with scripting languages (e.g., Python) is also beneficial.
- Working knowledge of AI and Machine Learning concepts, particularly how data quality, structure, and lineage affect analytical and AI‑driven outcomes.
- Experience leading analysis‑driven initiatives, mentoring junior team members, and contributing to team capability building.
- Excellent communication and stakeholder management skills, with the ability to clearly explain complex data issues, findings, and recommendations to both technical and non‑technical audiences.
Key Responsibilities
2. To conduct comprehensive code reviews, establish and oversee quality assurance processes, performance optimization , implementation of best practices and coding standards to ensure successful delivery of complex projects.
3. To ensure process compliance in the assigned module| and participate in technical discussions/review as a technical consultant for feasibility study (technical alternatives, best packages, supporting architecture best practices, technical risks, breakdown into components, estimations).
4. To collaborate with stakeholders to define project scope, objectives, deliverables and accordingly prepare and submit status reports for minimizing exposure & closure of escalations.