AVP, Data Translator, Consumer Banking Group Regional Data Chapter, Transfo at DBS Bank

, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

11 Oct, 26

Salary

0.0

Posted On

13 Jul, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, R, QlikSense, Data Visualization, Machine Learning, GenAI, Agentic AI, Statistical Testing, Feature Engineering, Data Preprocessing, Exploratory Data Analysis, Problem Statement Definition, Stakeholder Management, KPI Tracking, Data Storytelling

Industry

Banking

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, AI and GenAI/Agentic 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. Responsibilities The successful candidate will Define and articulate complex problem statements, identifying and recommending impactful data and analytics solutions to address core business challenges and strategic objectives. In particular, this role will be the bridge between data scientists and CIO/product teams as we enhance our next-generation Relationship Manager (RM) workbench to enable state of the art market insights, investment recommendations, and next-best-actions for RMs. Independently manage end-to-end delivery of data and analytics solutions (i.e. investment analytics, portfolio drift analysis etc.), ensuring they align with business goals and Data Chapter strategies to drive measurable impact. Synthesize insights into compelling data stories that improve decision-making, uncover growth opportunities, and deliver clear, actionable recommendations to Investments & Products stakeholders and MtJ Squad members. Lead exploratory data analysis to detect patterns, trends, and anomalies; perform rigorous statistical testing and hypothesis validation to ensure insights' reliability. Design and implement dashboards for KPI tracking to provide continuous visibility into business and MtJ outcomes, enhancing value tracking and strategy alignment. Interpret advanced machine learning model results and effectively communicate findings to diverse stakeholders, including those without technical backgrounds, ensuring alignment and shared understanding. Apply data preprocessing techniques, such as feature engineering, scaling, and normalization, to improve machine learning efficacy together with Data Scientists; experience in this areas is advantageous. Continuously stay abreast of emerging trends and best practices in data analytics, visualization, GenAI/Agentic AI and tools, identifying opportunities for optimizing processes and driving innovation. Champion the creation of reusable analytical assets and facilitate knowledge sharing across the Data Chapter, Cognitive Banking, and MarTech teams to elevate capabilities organization-wide. Requirements: Bachelor's degree or equivalent in Business Analytics, Computer Science, Statistics, Mathematics, or related field. Masters or equivalent degree in Computer Science, Data Analytics, Statistics or equivalent quantitative fields is a plus. Over 6 years of practical experience in analytics, spanning from descriptive to prescriptive methods, ideally within the financial and banking sectors. Familiarity with DBS new way of Managing through Journeys by defining and measuring Levers, Drivers and Outcomes of MTJ Value Map is a plus. Strong analytical skills, high attention to details and problem-solving abilities to interpret complex datasets and draw meaningful insights. High proficiency in SQL for data extraction and manipulation and programming languages such as Python, R for data analysis. Experience with data visualization tools such as QlikSense or similar. Excellent communication and presentation skills with the ability to convey technical concepts to non-technical stakeholders including Management. Location: DBS Asia Central Job: Analytics Schedule: Regular Employee Status: Full time DBS is more than a bank — we're shaping the future of finance and communities. With innovation at our core and impact in our DNA, we go beyond banking to build careers, relationships, and a better world. DBS is a leading financial services group in Asia with a presence in 19 markets. Headquartered and listed in Singapore, DBS is in the three key Asian axes of growth: Greater China, Southeast Asia and South Asia. Recognised for its global leadership, DBS has been named “World’s Best Bank” by Global Finance, “World’s Best Bank” by Euromoney and “Global Bank of the Year” by The Banker. The bank is at the forefront of leveraging digital technology to shape the future of banking, having been named “World’s Best Digital Bank” by Euromoney and the world’s “Most Innovative in Digital Banking” by The Banker. In addition, DBS has been accorded the “Safest Bank in Asia” award by Global Finance for 15 consecutive years from 2009 to 2023. DBS provides a full range of services in consumer, SME and corporate banking. As a bank born and bred in Asia, DBS understands the intricacies of doing business in the region’s most dynamic markets and is committed to building lasting relationships with customers. With its extensive network of operations in Asia and emphasis on engaging and empowering its staff, DBS presents exciting career opportunities.

Responsibilities

Act as a bridge between data scientists and product teams to develop analytical solutions for the Relationship Manager workbench. Lead end-to-end delivery of data insights, dashboards, and machine learning interpretations to drive business growth and customer experience.