VP, Data Scientist, Consumer Banking Group Regional Data Chapter, Transformation and Data, Group COO

DBS Bank logo

DBS Bank

View Salaries, Reviews, and more  

Job Summary


Salary
S$7,988 - S$13,945 / Monthly EST

Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python Scala SQL Spark Java pySpark Workbench Analytics SparkSQL Strategy

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 โ€“ they were made just right for you.

The Consumer Banking Group Data management team drives the implementation of machine learning solutions to enable key business priorities across our six key markets.

We develop large scale machine learning solutions to drive customer experience, enable product sales and engagement. We want to push the boundary on data and AI and create meaningful solutions that can help and assist our customers and differentiate DBS from the competition.

Responsibilities

The successful candidate will

  • Develop and drive the strategy on developing and deploying wealth advisory AI/ML solutions to drive key strategic objectives for the Wealth Management Group covering Treasures, Treasures Private Client and Private Banking segments
  • Co-own the data and AI layer within the next-generation Relationship Manager (RM) workbench, ensuring that market insights, investment recommendations, next-best-action for wealth advisory and solutions, and GenAI/Agentic AI co-pilot capabilities are natively embedded into RM daily workflows rather than delivered as standalone solutions.
  • Identify and develop solutions for areas of significant impact (P&L, Customer Experience, Productivity) and work with respective wealth product and platform leads across markets to curate use cases
  • Improve data and AI/ML capabilities through analytics, machine learning, GenAI and Agentic AI across initiatives โ€“ identify synergies and cross leverage solutions for scaling the adoption and impact of AI/ML solutions
  • Establish standards and best practices for testing and deploying AI/ML solutions to production environment
  • Ensure AI/ML solutions are aligned with governance frameworks, from model explainability to model monitoring
  • Drive adoption of responsible AI practices, ensuring model fairness, explainability, and compliance with regulatory requirements across jurisdictions
  • Research, identify and integrate advanced AI/ML solutions to enable sustainable business value creation
  • Drive creation of reusable assets and share learning across the broader team
  • Provide thought leadership and mentoring for junior team members in creating AI and data science solutions
  • Stay at the forefront of emerging trends in analytics, data science and AI. Evaluate new business solutions and frameworks for enterprise and wealth management adoption

Requirements:

  • Degree in Computer Science, Data Science, Statistics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred. Strong mathematical and statistics background.
  • 10+ years of experience in industry (ideally consumer banking, wealth management, investment, insurance, ecommerce, telecoms, retail) and/or academia with demonstrated track record of innovative research, AI/ML model operationalization, insights generation and translating insights into tools and processes delivering business results
  • Strong track record in hands-on development of machine learning models, GenAI and Agentic AI solutions
  • Experience in large language models, including supervised fine-tuning, reinforcement learning, prompt engineering, agent design and build, and governance frameworks
  • Hands on experience with Python, SQL, Spark (PySpark and SparkSQL), Java and Scala
  • Experience in deployment and integration of AI/ML solutions in production environments
  • Proven capability in identifying, prioritizing and structuring use cases, by aligning with business priorities and strategic goals
  • Excellent problem-solving skills and strategic thinker
  • Good interpersonal skill and able to influence the decision-making with senior business managers
  • Persuasive communication skills, both written and verbal

Location:

DBS Asia Central

Job:

Analytics

Schedule:

Regular

Employee Status:

Full time

Interview Questions of VP, Data Scientist, Consumer Banking Group Regional Data Chapter, Transformation and Data, Group COO at DBS Bank

Interview questions from DBS Bank that are similar to VP, Data Scientist, Consumer Banking Group Regional Data Chapter, Transformation and Data, Group COO
View more interview questions from DBS Bank โ†’
banner icon
Prepare For Your Interview in 1 Week?
Equip yourself with possible questions that interviewers might ask you, based on your work experience and job description.
Get Started!

Achieve your dream job with our top-notch tools!

Resume Checker Illustration

Resume Checker

Our free resume checker analyzes the job description and identifies important keywords and skills missing from your resume in just a minute!

Check Now
Interview Preparation Illustration

AI InterviewPrep

Utilizing advanced AI, our tool generates tailored interview questions based on your industry, role, and experience. Practice and receive feedback on your answers in real time!

Check Now
Resume Builder Illustration

Resume Builder

Let us show you the differences between a bad, good, and great resume, and guide you in building a resume that helps you stand out to employers, ensuring you land your next position faster!

Check Now