Job Description - Associate, Data Scientist - Data Analytics & Platform, Audit
Business Function
Group Audit helps the Board and Executive Management meet the strategic and operational objectives of DBS Group. We conduct independent reviews to ensure that the Group's risk and control processes are adequate and effective. All our team members are highly sought-after professionals whowork as trusted advisors to our stakeholders, in all matters related to the company's internal controls.
Objective
The incumbent will report to Internal Audit's Team Manager of Data Analytics & Platform (DA&P) team to build data pipelines and visualization for answering questions related to Internal Audit. He/ She will be responsible for the design, development, and deployment of data pipelines to support the DA&P team's work (e.g. upfront identification of risk hotspots, full-range risk sensing, anomaly detection and pattern recognition).
Responsibilities
Primary responsibilities will be around building data transformation pipelines, machine learning model and visualizations to enable transformation of data into insights and actions. You will be exposed to full range of business processes within the Bank and have opportunities to design analytics from a holistic bank-wide view. You will be a key part of the team as well as part of the Bank's Data Chapter in bringing data science and analytic projects alive to support business decision-making and risk sensing analysis.
Partner with audit specialists across banking functions / locations to assess business needs and identify opportunities to apply data analytics for developing tools / programs for audit purpose.
Explore existing data sources and conduct exploratory data analysis. Identify data which are relevant to the problems to solve. Create features to make them valuable for analytics.
Collaborate with other data scientists and tech team to develop data science solutions, ranging from on-demand queries to machine learning models, for early risk identification and expanding risk sensing coverage.
Maintenance of the platform / data refresh for existing data analytics tools in use by our partners to ensure smooth data flow and process including monitoring data quality and lineage and timely escalate system issues identified.
Develop visualization tools and other reporting dashboards to humanize the experience for reporting to Audit Committee / Senior Management.
Conduct presentation to our partners and management on the development of the tool as well as to provide training, demo and support to users if needed.
Requirements
Degree in Computer Science, Mathematics, Statistics, Information Engineering, or related disciplines
Related accreditation obtained via MOOC or other education institutions is a plus
Minimum 5 years of experience in data analytics (with 2+ years of experience in data science/data engineering as a plus)
Solid experience in building and maintaining data transformation pipelines and visualization dashboards for analytics. Strong SQL and Python programming skills on handling large volume of data
Experience in big data technologies/tools such as Data Lake and Spark is a plus.
Knowledge of cloud-based platforms is a plus. Understanding of model development concepts and AI including GenAI is a plus
Experience in banking data is a plus but not a must
Work well in a collaborative environment and good communication skills
Passionate in new technologies and eager to learn attitude
Proficient in English and Chinese
Candidates with less experience will be considered as Senior Associate.
Apply Now
We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.
We regret only shortlisted candidates will be notified.
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