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👑Data Leadership

SVP/ED, Team Lead, Data Translator (Private Banking/Wealth), Consumer Banking Group Regional Business Analytics, Transformation and Data, Group COO

dbs · Singapore - East
// classified as
Data Leadership (Heads of data, directors, managers.)
posted
1d ago
location
Singapore - East
languages
python
tools
excel
> stack
pythonexcel
> education
phd
> 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. 
We develop large scale analytical solutions powered by machine learning and AI to drive customer experience, enable product sales and engagement for the Private Banking and Treasure Private Client business. 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.

Overview
This senior role is for a Team Lead in Data Analytics, supporting the Private Bank and Treasures Private Client franchises. It demands a blend of technical proficiency, hands-on involvement, deep business domain knowledge, and exceptional stakeholder management skills. The ideal candidate will excel in complex environments, delivering high-impact analytical and campaign solutions to meet the needs of senior stakeholders.

Job Responsibilities

Leadership and Team Management

  • Lead the team responsible for Front Office analytics, transforming data into commercial insights and actionable strategies.

  • Oversee hyper-personalized campaign targeting and management (e.g., Next Best Conversation & Next Best Nudges).

  • Lead and manage the full lifecycle of high-impact data and analytics solutions, from conceptualization to implementation, ensuring alignment with business goals and measurable impact.

  • Champion the development of reusable analytical assets and foster knowledge sharing to elevate organizational analytical capabilities and promote continuous learning and technical excellence.

Front Office Analytics & Insights Generation

  • RM Productivity Analytics: Drive analysis by reviewing Relationship Manager (RM) activities vs. outcomes (Revenue/NNM achieved), optimizing RM Balanced Scorecards according to business goals, and tracking RM opportunity conversion.

  • Client & Portfolio Analytics: Drive insights relating to attrition risk analysis, pricing and fee sensitivity, client engagement, and client profitability.

  • Exploratory Data Analysis: Lead and personally engage in exploratory data analysis to identify patterns, trends, and anomalies, applying advanced statistical testing and hypothesis validation techniques to ensure insights' reliability.

  • Control Towers & KPI Tracking: Lead the design and implementation of impactful and actionable Control Towers and data compute for KPI tracking and strategic outcome measurement, ensuring continuous visibility into business performance.

Client Engagement Management & Effectiveness

  • Oversight: Maintain clear oversight on overall targeting, execution, and measurement of client comms and engagement, ensuring the right message reaches the right client at the right time through the right channel.

  • Effectiveness Measurement: Drive the measurement of campaign effectiveness, building closed-loop attribution from campaign send through to RM/client action, revenue/NNM impact, and client engagement.

Stakeholder Engagement & Communication

  • Cross-Functional Collaboration: Collaborate effectively with cross-functional teams and senior stakeholders, including Business Heads, to build strong relationships and ensure a holistic understanding of business needs.

  • Insight Synthesis & Communication: Synthesize complex data insights into compelling, easy-to-understand narratives that enhance executive-level decision-making. Deliver clear, actionable recommendations to senior business leaders, effectively managing expectations.

  • Machine Learning Communication: Interpret advanced machine learning model results and effectively communicate findings to diverse stakeholders, including non-technical audiences, ensuring alignment and shared understanding.

Technical Expertise & Innovation

  • Business Domain Knowledge: Leverage deep business banking domain knowledge, preferably in Private or Consumer Banking, to ensure data analytics initiatives are relevant and impactful. Understand key business drivers and objectives, aligning analytics efforts with broader organizational goals.

  • Data Preprocessing: Apply data preprocessing techniques, such as feature engineering, scaling, and normalization, to improve machine learning efficacy together with Data Scientists (experience in this area is advantageous).

  • Continuous Learning: Stay abreast of the latest trends and best practices in data analytics, machine learning, and visualization tools. Proactively identify opportunities to optimize processes and drive innovation, implementing cutting-edge solutions.

Job Requirements

  • Master's Degree or Ph.D. in a quantitative field (e.g., Data Science, Statistics, Computer Science).

  • 10-15 years of progressive experience in data analytics or data science, with at least 5 years in a leadership role, preferably within financial services (Private or Consumer Banking).

  • Proven ability to lead and mentor high-performing data analytics teams and manage the full lifecycle of data solutions.

  • Expert-level proficiency in advanced statistical analysis, machine learning techniques, and exploratory data analysis.

  • High proficiency in programming languages (Python, SQL).

  • Exceptional stakeholder management and cross-functional collaboration skills with senior business leaders.

  • Superior communication and storytelling abilities to synthesize complex data into actionable insights for executive-level decision-making.

  • Deep business banking domain knowledge to drive impactful data analytics initiatives.

  • Strong strategic thinking, problem-solving, and continuous learning mindset to foster innovation.

Location:

DBS Asia Hub

Job:

Analytics

Schedule:

Regular

Employee Status:

Full time
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