Job DescriptionOptimize business expansion opportunity via customer needs identification from predictive machine learning models advanced analytics algorithms segmentation or analysis insights Maximize analytics capability- developing predictive models advanced analysis generating insights leads experimental design optimization end-to-end tracking and learning improvement Implement machine learning techniques to develop and continuously improve predictive models Creatively leverage graphical data visualization numerical and qualitative techniques to convey complex ideas and results to stakeholders in a convincing story Connect to external data sources and APIs to discover interesting trends Compiling data from disparate internal and external sources transforming data as needed and managing large datasets Be subject matter expert and facilitator for all advanced analytics related to serve stakeholders in both strategic and tactical aspects specializing in advanced analytics and data science projects Research recommend and adopt best practices latest technologies and approaches on the analytics field Establish internal organizational standards and benchmarks Work with other teams in Decision Management DM to understand business needs document data and data integration requirements and resolve conflicting business data architecture rules Job RequirementBachelor and rsquo s degree in Statistics Mathematics Data Science Decision Science Operations Research Engineering Computer Science Actuarial Econometrics or related quantitative Master and rsquo s degree preferred Proficient in tools and scripting languages e g Tableau SAS etc Competency with Machine Learning and prediction algorithms using open source tools Python or R Experience in technical business analytics or data science environment of at least 2 years Experience in data gathering data processing and data mining of large and complex datasets structured and unstructured data Experience in advanced analytics or modeling eg supervised learning unsupervised learning time-series churn clustering market-basket analysis random forest recommendation system etc Experience designing testing and analyzing experiments and ndash including control group design Broad exposure in advanced analytics machine learning and data science trend in the market place Experience in CRM and marketing knowledge is at advantages A highly-motivated self-starter with analytical astuteness passion and curiosity in data Open-minded deep analytical thinker with experience in deriving business insights from data analytics Detail-oriented with high personal standard for quality and accuracy along with a strategic mindset to interpret and bring out the and lsquo so what and rsquo from data Strong communication and collaboration skills Be a self-starter and team player who can anticipate business needs and fulfill on them in a proactive manner work in a cross-functional environment and guide or share knowledge with other analysts Strong project management and time management skills Must possess exceptional business judgment to identify core business objectives synthesize and interpret disparate quantitative information develop meaningful insights and clearly disseminate to key stakeholders
Type : Company job
Role : Manager
Industry : Banking/Financial Services
Salary : Not Disclosed
Alliance Bank Malaysia Berhad
Alliance Bank Malaysia Berhad and its subsidiaries, Alliance Investment Bank Berhad and Alliance Islamic Bank Berhad, is a dynamic, integrated financial services group offering banking and financial solutions through its consumer banking, SME banking, corporate and commercial banking, Islamic banking, investment banking and stockbroking businesses.
The Group provides easy access to its broad base of customers throughout the country via multi-pronged delivery channels which include retail branches, Privilege Banking Centres, Islamic Banking Centres, Business Centres, and Investment Bank branches located nationwide, as well as mobile and Internet banking.