Job Description

Business Function

As the leading bank in Asia, DBS Consumer Banking Group is in a unique position to help our customers realise their dreams and ambitions. As a market leader in the consumer banking business, DBS has a full spectrum of products and services, including deposits, investments, insurance, mortgages, credit cards and personal loans, to help our customers realise their dreams and aspirations at every life stage. Our financial solutions are not only the best in the business – they were made just right for you.

• Train Predictive and Machine Learning models to solve various business questions.
  • Perform ad-hoc exploratory statistics and data mining tasks on diverse datasets from small scale to “big data”
  • Select features, building and optimizing classifiers using machine learning techniques
  • Data mining using state-of-the-art methods
  • Extend company’s data with third party sources of information when needed
  • Enhance data collection procedures to include information that is relevant for building analytic systems
  • Process, cleanse, and verify the integrity of data used for analysis
  • Carry out ad-hoc analysis and present results in a clear manner
• Build Prototypes to demonstrate the derive actionable insights from data, as part of Agile teams
  • Work with Data Engineers to define data requirements and review recommended architecture
  • Program advanced analytics capabilities and algorithms to be included in new business solutions.
  • Develop visualization interfaces that help business make more insightful decisions
• Maintain cutting edge in Data Science
  • Take initiative in evaluating new approaches from data science research
  • Test new tools and packages
  • Support the programs for changing the business culture towards more data driven
• Identify, profile, analyse and present the data discovery output for analytic projects
• Develop data ingestion pipeline and create the analytic data assets for analytic projects
• Work with data engineer to enhance the analytic data infrastructure and develop enterprise analytic data mart
• Perform data wrangling and feature engineering for machine learning
• Create helper functions to automate frequently encountered wrangling and feature engineering tasks

Job Requirements

• Possess good understanding of data structure, algorithms and have good programming skills
• Have knowledge of Python & Big data technologies such as Spark and Hadoop
• Be familiar with machine learning models such as logistic regression, decision tree and other classification models
• Be familiar with machine learning concepts such as cross-validation, model hyperparameter tuning, and model evaluation and testing
• Possess good software engineering skills (preferred)
• Be a self-motivated team player who enjoys working in a fast-paced environment
• Be adaptable, creative, decisive, resilient and demonstrate good interpersonal and communication skills

Primary Location: Singapore-DBS Asia Central Job: Analytics Schedule: Regular Employee Status: Full-time : Job Posting: Aug 17, 2022, 8:57:41 PM