Junior (1 to 2 years), Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Financial Services, Asset ManagementIndustries
Requirements
Bachelor’s or Master’s degree in data science, Statistics, Computer Science, or a related field
Strong skills in Excel, including advanced formulas and VBA for automation
Experience with PowerBI for delivering management information and reporting
Experience in data extraction from multiple sources using SQL and Python
Familiarity with data governance and quality best practices to ensure data accuracy and reliability
Highly quantitative, with a keen eye for extracting insights from large data volumes
Proactive, flexible, self-motivated approach to problem solving
Ability to collaborate with and present to both technical and non-technical partners
Knowledge of the asset management industry and financial products (plus)
Preferred experience in Financial Services and related Client, Business, or Marketing Analytics
Fluency in written and spoken English and Mandarin. Proficiency in Japanese (plus)
Professional Licenses: SITCA licensing (Senior Securities Specialist or Securities Investment Trust & Consulting Professionals)
Responsibilities
Play a crucial part in driving APAC sales support, making a meaningful impact on client business and contributing to the overall success of regional operations
Prepare internal/client reports, factsheets, and manage essential internal sales support processes
Ideate and support process redesign and automation, using AI and other tools within the Regional Sales Support Team to achieve streamlined processes and efficiency gains
Use cutting-edge tools to develop management information reporting and analytics that empower sales and service teams across APAC
Refine ambiguous questions, generate hypotheses, deliver analysis, and develop a data-backed viewpoint of sales and distribution performance
Collaborate with other data science and analytics teams across the firm on best practices, code review, internal tools, and process automation improvements
Consolidate data input from multiple sources to produce internal recurring and ad-hoc reports
Partner closely with sales teams and technology teams to ingest and manage client data, maintain data quality, automate data processes, and ensure management information and analytics deliver maximum business impact
Collaborate with internal technology teams on infrastructure, tools, processes, standards, and development