Originate and source deals — proactively identify and engage issuers, companies, partners, investment banks, exchanges, and distribution platforms to develop new opportunities
Deep understanding of tokenisation — real-world assets, digital assets, token issuance, or the institutional side of crypto.
Shape the future with the world’s leading blockchain ecosystem
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Organisation change through Enterprise Transformation project to enhance your business capabilities, innovation and productivity by implementation of the right project and resource software platform
Workforce Transformation to ensure our people have the right skills to succeed in their career; provide a workplace environment for the organisation to understand what skills our people have and also allow for constructive feedback to happen and how colleagues perceive their abilities. We want to provide opportunities for our people to take ownership of their career; embrace lifelong learning to have a rewarding career with the Company.
Work across all aspects of data from engineering to building sophisticated visualisations, machine learning models and experiments
Analyze and interpret large (PB-scale) volumes of transactional, operational and customer data using proprietary and open source data tools, platforms and analytical tool kits
Translate complex findings into simple visualisations and recommendations for execution by operational teams and executives
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This internship provides hands-on experience, supported by a structured training program, dedicated mentorship, and personal development opportunities. You will also gain exposure to digital marketing and social media content creation, building a well-rounded skill set that is valuable in today’s financial services industry.
Conduct research, technical evaluation, ingestion, integration, cleansing, standardization, computation, storage, and servicing of financial market data, covering securities master data, real-time and historical market data, fundamentals, corporate actions, indices, and business-required product and risk data; responsible for source ingestion, raw retention, and stable delivery to knowledge engineering pipelines for content-type data such as announcements, news, and research reports.
Design scalable unified data models and integration frameworks, handling different markets' trading calendars, time zones, currencies, security identifiers, listing relationships, lifecycles, and data corrections, supporting rapid onboarding of new markets and sources.
Build batch-stream unified data pipelines centered on Flink, continuously optimizing latency, throughput, query performance, stability, and cost, while supporting consumer trading products, research analysis, and AI scenarios.
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