Analyst/ Associate, GenAI Evaluator Specialist, Regional CSH, Group COO

Open 21d

Summary

Evaluates and improves Generative AI responses for a banking AI system by curating knowledge bases, analyzing outputs, and ensuring customer service quality.

Role Overview

This role is instrumental in enhancing the accuracy and effectiveness of our Generative AI models by building a robust knowledge base, evaluating AI responses, and ensuring the delivery of high-quality interactions with customers.

Key Responsibilities:

To consistently meet and exceed the Customer Centre targets set (KPI) without compromising on quality of service delivery.

Enhance Generative AI Accuracy:

Build and curate a comprehensive knowledge base to serve as a foundation for the Generative AI model.
Evaluate and analyse AI-generated responses to identify areas of improvement and optimize accuracy.

Response Analysis and Evaluation:

·Analyze the quality of AI-generated responses, ensuring they align with company standards and customer expectations.
Collaborate with the AI Development team to implement necessary adjustments to improve response quality.

Safety Scenario Establishment:

Develop and implement safety scenarios to mitigate the risk of inappropriate or sensitive AI responses, maintaining ethical and responsible AI interactions.

Data Set Maintenance:

Curate and maintain data sets across various platforms to ensure a diverse and clean input for the Generative AI model.
Regularly update and refine data sets to reflect evolving language trends and user preferences.

Knowledge Base Updates:

Perform updates to the knowledge base, integrating the latest product information, industry updates, and relevant content.
Ensure accuracy and relevance of information provided by collaborating with product owners and subject matter experts. Demand Analysis: ·
Analyze customer interactions (e.g call recordings, call summarizations) to identify emerging demand topics and customer preferences.
Provide insights and recommendations to the AI Project Manager for enhancing AI-generated responses in response to these demands. Collaboration with Product Owners:
Maintain effective communication channels with product owners to continuously enhance the knowledge base and refine AI responses.
Actively gather feedback to improve the accuracy and relevance of AI interactions. Product Knowledge & Call Handling Trained
To be trained in Banking Related product knowledge and undergo training to learn how a customer service officer handles a customer over a call. · Standby support to be activated on adhoc basis by Workforce Management team to service calls/emails or any other functions deemed to be necessary to maintain Customer Centre’s service levels.
To consistently meet and exceed the Customer Centre targets set (KPI) without compromising on quality of service delivery.

Requirements:

3-5 years’ experience in Customer Care Environment
For Internal Candidates, minimally dual-trained with 2 years of experience.
Basic understanding of prompt engineering, data pre-processing, and data ingestion techniques in the context of Generative AI systems.
Possess an analytical mindset to identify key performance metrics and evaluate the success of Gen AI initiatives.
Excellent skills in managing stakeholders and creative problem-solving.
Clearly convey complex technical concepts to both technical and non-technical stakeholders.
Strong planning and organizational skills.
Foster strong relationships and teamwork to achieve collective goals.
Excellent communication skills to collaborate effectively with cross-functional teams.
Meticulous with the ability to maintain organized and diverse data sets.
Strong proficiency in MS Office (Word, Excel, Project and PowerPoint)
Data Analytics Skills Required
Good knowledge of DBS Products and Services

Location:

DBS Asia Hub

Job:

Operations

Schedule:

Regular

Employee Status:

Full time

Show

Summary

Role OverviewThis role is instrumental in enhancing the accuracy and effectiveness of our Generative AI models by building a robust knowledge base, evaluating AI responses, and ensuring the delivery of high-quality interactions with customers.

Key Responsibilities:

To consistently meet and exceed the Customer Centre targets set (KPI) without compromising on quality of service delivery.

Enhance Generative AI Accuracy:

Build and curate a comprehensive knowledge base to serve as a foundation for the Generative AI model.

Evaluate and analyse AI-generated responses to identify areas of improvement and optimize accuracy.

Response Analysis and Evaluation:

·Analyze the quality of AI-generated responses, ensuring they align with company standards and customer expectations.

Collaborate with the AI Development team to implement necessary adjustments to improve response quality.

Safety Scenario Establishment:

Develop and implement safety scenarios to mitigate the risk of inappropriate or sensitive AI responses, maintaining ethical and responsible AI interactions.

Data Set Maintenance:

Curate and maintain data sets across various platforms to ensure a diverse and clean input for the Generative AI model.

Regularly update and refine data sets to reflect evolving language trends and user preferences.

Knowledge Base Updates:

Perform updates to the knowledge base, integrating the latest product information, industry updates, and relevant content.

Ensure accuracy and relevance of information provided by collaborating with product owners and subject matter experts. Demand Analysis: ·

Analyze customer interactions (e.g call recordings, call summarizations) to identify emerging demand topics and customer preferences.

Provide insights and recommendations to the AI Project Manager for enhancing AI-generated responses in response to these demands. Collaboration with Product Owners:

Maintain effective communication channels with product owners to continuously enhance the knowledge base and refine AI responses.

Actively gather feedback to improve the accuracy and relevance of AI interactions. Product Knowledge & Call Handling Trained

To consistently meet and exceed the Customer Centre targets set (KPI) without compromising on quality of service delivery.

Requirements:

3-5 years’ experience in Customer Care Environment

For Internal Candidates, minimally dual-trained with 2 years of experience.

Basic understanding of prompt engineering, data pre-processing, and data ingestion techniques in the context of Generative AI systems.

Possess an analytical mindset to identify key performance metrics and evaluate the success of Gen AI initiatives.

Excellent skills in managing stakeholders and creative problem-solving.

Clearly convey complex technical concepts to both technical and non-technical stakeholders.

Strong planning and organizational skills.

Foster strong relationships and teamwork to achieve collective goals.

Excellent communication skills to collaborate effectively with cross-functional teams.

Meticulous with the ability to maintain organized and diverse data sets.

Strong proficiency in MS Office (Word, Excel, Project and PowerPoint)

Data Analytics Skills Required

Good knowledge of DBS Products and Services

See also

Role Overview

This role is instrumental in enhancing the accuracy and effectiveness of our Generative AI models by building a robust knowledge base, evaluating AI responses, and ensuring the delivery of high-quality interactions with customers.