Drive insights-driven risk work within the Internal Control team through developing, implementing and monitoring business data to promptly identify and address risks, as well as to drive process improvements, and support continuous risk monitoring implementation with data analytics.
Sales & Customer Engagement: Engage customers through face-to-face sales and marketing activities, representing various brands at events, roadshows and promotional campaigns.
Provide comprehensive support to compliance operations by executing AML-related tasks, identifying and documenting compliance risks, and implementing solutions in alignment with established policies and procedures.
Provide comprehensive support to compliance operations by executing AML-related tasks, identifying and documenting compliance risks, and implementing solutions in alignment with established policies and procedures.
Execute and oversee daily and monthly B2C Accounting operational tasks, including GL Accounting (e.g., process journal entries, prepare and post recurring journals), Month-end Closing (e.g., perform close management, perform reconciliations, perform FI invoice accruals), Internal Reporting (e.g., prepare reporting package) and External Reporting (e.g., prepare statutory financial reports), ensuring timely and accurate execution
Participating in all phases of the Talent Acquisition process: gather position requirements from hiring managers and TA Partners, promote open positions via job portals, conduct screening, recruitment, assessment, candidate relationship management, and onboarding process.
Assist in the design and creation of graphic design for various content projects, including but not limited to posters, illustrations and motion graphic support.
Support the planning and execution of intern engagement initiatives, including sharing sessions, networking events, and learning activities aimed at enhancing the overall intern experience.
Partner closely with hiring managers and business stakeholders to understand hiring needs, provide market insights, and advise on talent solutions aligned with business priorities.
Design and develop resource scheduling systems for machine learning platforms, supporting model training, evaluation, and inference workloads across domains such as NLP, Computer Vision (CV), and Speech.
Partner closely with hiring managers and business stakeholders to understand hiring needs, provide market insights, and advise on talent solutions aligned with business priorities.