VP / AVP, Data Scientist, Global Financial Markets

Join to apply for the VP / AVP, Data Scientist, Global Financial Markets role at DBS Bank

Join to apply for the VP / AVP, Data Scientist, Global Financial Markets role at DBS Bank

Business Function
The GFM Digital Business & Strategy team is charting a new digital and data-driven course across GFM, creating innovative customer and employee journeys. We are responsible for identifying and developing AI, ML, Gen AI, and Agentic implementations for GFM, thereby bringing transformative and pioneering change to our business operations.

Business Function
The GFM Digital Business & Strategy team is charting a new digital and data-driven course across GFM, creating innovative customer and employee journeys. We are responsible for identifying and developing AI, ML, Gen AI, and Agentic implementations for GFM, thereby bringing transformative and pioneering change to our business operations.
As a Data Scientist, you will work closely with our business partners and stakeholders to drive robust and optimal data solutions. Your role will also involve gaining a comprehensive understanding of business workflows and products within the GFM domain.
Job Description

• Collaborate with the business to own and implement high-performance advanced analytics solutions and models using Python, Cloudera, Dify, Spark, S3, SQL and Tableau
• Understanding the business domain and relevant datasets
• Support the delivery of analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish timelines. To coordinate with stakeholders for requirements
• Build machine-learning models for GFM Sales use-cases and efficiency improvement and collaborate with Technology Team to productionize the solution
• Identify, profile, analyse and present the data discovery output for analytic projects
• Develop data ingestion pipeline and create the analytic data assets
• 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 Stakeholders 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
• Create helper functions to automate frequently encountered wrangling and feature engineering tasks
• Engage with the broader analytics community within the bank and align with the overall strategy / direction undertaken by the bank
  

Job Requirements

• 5 to 6 years of experience in a credible Strategy / Management Consulting firm or in a role at a major bank or financial institution
• Understanding of treasury products would be useful but not mandatory
• Possess working knowledge and familiarity with trading/treasury products, system applications and end-to-end processes
• 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
• 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
• Excellent interpersonal and verbal and writing skills. Confident in presentations to senior management and to a mass audience
• Have good coding skills of Python & Big data technologies such as Spark and Hadoop
• (preferred) Possess good understanding of data structure, algorithms and have good programming skills, including experience with Cloudera, Dify, Spark, S3, SQL and Tableau
• (preferred) Familiar with NLP including working on the latest LLM/GPT models
  

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.
Primary Location
Singapore-DBS Asia Central
Job
Analytics
Schedule
Regular
Job Type
Full-time
Job Posting
Aug 18, 2025, 10:44:45 PM Seniority level

• Seniority level Not Applicable

Employment type

• Employment type Full-time

Job function

• Job function Administrative
• Industries Banking, Financial Services, and Investment Banking

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