VP / AVP, Data Scientist (NLP & ML), Institutional Banking Group Operations, Technology & Operations VP / AVP, Data Scientist (NLP & ML), Institutional  …

DBS Bank Limited
in Singapore, Singapore, Singapore
Permanent, Full time
Be the first to apply
DBS Bank Limited
in Singapore, Singapore, Singapore
Permanent, Full time
Be the first to apply
VP / AVP, Data Scientist (NLP & ML), Institutional Banking Group Operations, Technology & 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.

About this role

The Regional Data team is part of Institutional Banking Group Operations (IBGO) and our responsibilities include building the Data Science Solutions using advanced machine learning methods, recommendation engines, text mining solutions and customer models to amplify the business impact and efficient customer management, as well as answer numerous business questions using statistical tools and data analysis for institutional banking customers.
We are looking to expand our Data Science team and hire a "Data Scientist" specializing in Natural language processing (NLP) projects to develop and productionize ML based solution for IBG Operations. The purpose of these projects is to extract insights and develop models for IBGO Servicing & Operations and Chatbot platforms - for example, sensitivity analysis, predictive risk monitoring for operations involving unstructured data files, and similar use cases.


  • Maximize Data capabilities focusing on customer/ employee science in areas such as predictive/ prescriptive/text analytics across corporate banking products/ processes and customer servicing (Chatbot)
  • Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan. To manage other digital instrumentation projects undertaken by the team, and be accountable for their delivery (includes planning, prioritization, scope, risk/ issues management)
  • Conduct strategic data analysis, identify insights and implications from institutional data and make strategic recommendations to executive and senior staff, develop data displays that clearly communicate complex analysis
  • Test the solution with real live data & present the results to senior management for approvals
  • Implement the solution and support the Technology team to deploy the solution to production
  • Facilitate to drive up adoption / embedding data in use of operations/ servicing/ journey design
  • Highly self-driven and operate under "Agile" methodology & able to perform end-to-end development from requirements gathering, to design, development, testing then deployment.
  • Prepare project updates report and communicate projects benefits & progress to management team or business stakeholders
  • Engage with the broader analytics community within the bank and align with the overall strategy / direction undertaken by the bank.
  • Create reusable assets and share learning with others

  • PhD or Masters or equivalent degree in Statistics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred. Strong mathematical and statistics background.
  • 4-6 years of experience in industry (ideally banking, ecommerce, telecoms, retail) and/or academia with demonstrated track record of innovative research and insight generation and implementation of insights into tools/processes delivering front end business result
  • At least 5 years of data mining and machine learning on large amount of data, building and implementing various statistical models.
  • Good understanding of technology tools especially those related to analytics, data & statistical modelling.
  • Have developed and implemented industrial standard machine learning solutions for classification, prediction, text mining and anomality detection problems.
  • Familiarity with a wide range of statistical analysis, machine learning, natural language processing and deep learning techniques.
  • Expertise in machine learning and data mining with excellent data processing, wrangling and feature engineering skills. Familiarity with industry paradigms and standards for model development, validation and testing.
  • Strong theoretical understanding and practical knowledge and be able to apply the appropriate solution framework for different modelling tasks that forms the analytic solutions.
  • Ability to push the boundary of advanced analytics/machine learning/artificial intelligence to the extent of implementing newly proposed algorithms from research papers if necessary.
Core Competencies
  • Organizational excellence: Self-starter, independent, able to align & drive strategic initiatives to support bank's vision, project manage self and resources on complex environment with timelines, dependencies, track and control delivery with detail and skill (agile, waterfall)
  • Key and critical focal point on data projects: Able to act as a key communications and delivery point across multiple and diverse stakeholders. Proven experience to be able to go to technical depth and breadth and provide exacting details enabling the speed of understanding, flow and confidence in delivery.
  • Domain experience: Finance industry (preferable) and one of the following: Data Management, Data science, data analyst, Data projects. Strong inclination towards data, statistics, visualization & instrumentation
  • Ability to communicate complex analysis/models across a diverse team and Senior Business Executives
  • Excellent & effective communication and presentation skills (both verbal and written).
  • Good people engagement and interpersonal skills with internal and external stakeholders
  • Good problem-solving skills, ability to make decision and keep supervisor informed
  • Ability to multitask and to encompass new and different lines of business as the team's role expands
  • High ability to adapt positively to a changing environment
  • Strong Risk control mindset
  • Proficiency & Possess skills & experiences in following areas- Spark, Python or R, MS Tools, SQL, BI Tools, database design, data warehousing MS PowerView, Hadoop, R, MS Access

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.
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