Contractor (Senior), Big Data Analytics Tech Lead, Institutional Banking Group Technology, Technology and Operations Contractor (Senior), Big Data Analytics Tech Lead,  …

DBS Bank Limited
in Singapore, Singapore, Singapore
Permanent, Full time
Last application, 03 Jul 20
Competitive
DBS Bank Limited
in Singapore, Singapore, Singapore
Permanent, Full time
Last application, 03 Jul 20
Competitive
Contractor (Senior), Big Data Analytics Tech Lead, Institutional Banking Group Technology, Technology and Operations
Business Function

Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.

Responsibilities
    Perform full lifecycle of data analyst activities, including conceptualization to operationalization. Provide critical thinking to look at numbers, trends, and data and come to correct conclusions based on the findings. Present key findings to senior management and/or other stakeholders with actionable recommendations. Define data sources and requirements, design and implement processes and models for complex, large-scale datasets used for predictive modelling, data mining, and research purposes. Lead ideation, experimentation, hypotheses formulation and testing Use Business Intelligence Tools to design analytics dashboards for management. Develop dashboard visualizations, metrics, KPIs; establishing baselines and targets Develop the abilities of data champions and analysts within the technology teams to mentor, build new capabilities, support/contribute to thought leadership and build out new skills in the creation of high-quality models, analytics, and visuals. Work with Business and Operations users to rationalize and automate existing reports.
Requirements
    Bachelor's degree or higher in applied statistics, data mining, machine learning, computing or related quantitative discipline. Proven ability in structured problem solving, process improvement, data-driven analysis and deriving actionable outcomes with large datasets. Advanced data analytics and modeling ability with high proficiency in developing applications in QlikView, Tableau and other business intelligence tools. Proficiency in Python or R beyond academic study is a must. Excellent interpersonal, communications, public speaking and ability to articulate with strong presentation skills will be an advantage. Experience in working in an Agile environment is an advantage Able to multi-task and work under tight deadlines
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We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.
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