AVP, Data/Business Analyst, Consumer Banking Group Data Chapter, Transformation and Data, Group COO

DBS; Singapore; On-site; SGD 100,000 - 120,000; Full time

Job summary

A leading financial service provider in Singapore is looking for an AVP, Data/Business Analyst to drive the PBTPC Phygital initiative in Private Banking. The candidate will leverage advanced analytics and data-driven insights to optimize client engagement and influence strategic decision-making. With a degree in Statistics or Computer Science and at least 5 years of experience in analytics within financial services, the ideal candidate will possess strong communication skills and proficiency in tools like SQL and Python.

Qualifications

• Minimum 5 years in analytics or digital marketing within financial services.
• Proven track record of applying advanced analytics (AI/ML) to improve client engagement.
• Expertise in statistical analysis, machine learning, and handling large-scale datasets.

Responsibilities

• Drive PBTPC Phygital initiative and enhance client engagement.
• Collaborate with stakeholders to define data-driven strategies.
• Monitor key Private Banking KPIs to support strategic planning.
• Develop and maintain analytical models for campaign optimization.

Skills

Analytics

Digital marketing

Communication

Problem-solving

Influencing decisions through data

Education

Degree in Statistics, Computer Science, or related field

Tools

SQL

Python

Hadoop

Spark

HCL Unica

Qlik Sense

Job description

Job Description - AVP, Data/Business Analyst, Consumer Banking Group Data Chapter, Transformation and Data, Group COO (250000CJ)

Job Description

AVP, Data/Business Analyst, Consumer Banking Group Data Chapter, Transformation and Data, Group COO - ( 250000CJ )

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.