AVP, Data/Business Analyst, Consumer Banking Group Data Chapter, Transforma at DBS Bank

, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

18 Feb, 26

Salary

0.0

Posted On

20 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Advanced Analytics, Data-Driven Insights, Client Engagement, Product Penetration, Campaign Optimization, AI/ML, Predictive Analytics, Statistical Analysis, Machine Learning, SQL, Python, Big Data Platforms, Data Visualization, Wealth Management Systems, Communication Skills, Problem-Solving Skills

Industry

Banking

Description

The role: This role serves as a key analytics partner driving the PBTPC Phygital initiative and strategic efforts to enhance client engagement and product penetration in Private Banking. He/ She need to leverage advanced analytics and data-driven insights to shape business strategies, optimize campaigns, and influence decision-making at scale through Next Best Nudges (NBN) for clients and Next Best Conversations (NBC) for RMs. Strategic Responsibilities: Collaborate with senior business and marketing stakeholders to define engagement objectives and translate them into actionable, data-driven strategies. Design and implement multi-channel engagement frameworks, ensuring alignment with business priorities and client experience goals. Lead post-campaign performance reviews to identify strategic improvement opportunities and inform future initiatives. Advocate for data-driven decision-making by developing agile prototypes, measuring campaign effectiveness, and promoting self-service analytics culture. Provide thought leadership on leveraging AI/ML and predictive analytics to drive personalization and deepen client relationships. Technical Responsibilities Conduct deep-dive analysis on client behavior and investment patterns; deliver insights through compelling storytelling and visualization for non-technical audiences. Monitor and interpret key Private Banking KPIs (e.g., Cash-to-Investment Conversion, Net New Money) to support strategic planning. Develop and maintain advanced analytical models and machine learning solutions for campaign optimization and client engagement. Manage evolving business requirements effectively, ensuring timely delivery of analytics solutions. Requirements: Minimum 5 years in analytics or digital marketing within financial services; degree in Statistics, Computer Science, or related field. Proven track record of applying advanced analytics (AI/ML) to improve client engagement and business performance. Proficiency in SQL, Python; experience with big data platforms (Hadoop, Spark) , campaign tools (HCL Unica, Interact) ad data visualization tools (Qlik sense) Familiarity with Wealth Management systems (Avaloq, T24) is a plus. Strong communication and problem-solving skills; ability to influence strategic decisions through data insights. Expertise in statistical analysis, machine learning, and handling large-scale datasets.

Responsibilities

The role involves driving the PBTPC Phygital initiative to enhance client engagement and product penetration in Private Banking through advanced analytics. Responsibilities include collaborating with stakeholders, designing engagement frameworks, leading performance reviews, and advocating for data-driven decision-making.