VP, Data Scientist, Risk Management Group Data Chapter, Group Transformation

300005 Chief Executive's Office_00002555; Singapore; On-site; SGD 100,000 - 125,000; Full time

Job summary

A leading banking institution in Singapore is seeking an experienced professional to lead credit model development and manage the Advanced Modelling Analytics team. The successful candidate will oversee the entire model lifecycle, collaborate across teams, and ensure compliance with regulatory requirements. With a minimum of 10 years' experience in credit risk model development and strong AI/ML skills, this role offers opportunities for impactful contributions in a dynamic environment.

Benefits

Competitive salary

Dynamic working environment

Qualifications

• Minimum of 10 years of experience in related areas.
• Hands-on experience in credit risk model development and implementation.
• Outstanding AI/ML modelling and programming expertise.

Responsibilities

• Lead the design and development of credit models.
• Manage the Advanced Modelling Analytics team.
• Collaborate with cross-functional teams for model development.

Skills

Credit risk model development

AI/ML modelling

Data analysis

Stakeholder management

Python

Statistics

Tools

Python

PySpark

Job description

Job Description

Business Function

Here at the DBS Transformation Group, we focus on nurturing the culture of the “World’s Best Bank” (Euromoney 2018, 2019 and 2020). Our approach is a combination of both science and art. We immerse our stakeholders in the world of design thinking and experimentation, drive rigorous creativity along our innovation pipeline, and build connections between corporate entrepreneurs and start‑ups. We are a cross‑disciplinary team focused on the invention of solutions that will radically improve the way people live, work and play. We are passionate and committed to making banking joyful (while having lots of fun)!

Responsibilities

• Lead the design, development, testing, and operationalization of credit models, rules, and algorithms to enhance the bank’s Eco‑System Lending (ESL) capabilities
• Manage the Advanced Modelling Analytics team, providing guidance, mentorship, and support to drive the team’s success and deliver high‑quality data scientific deliveries
• Oversee the end‑to‑end development of credit risk models (e.g., underwriting, propensity, income estimation) for CBG and SME portfolio, ensuring alignment with industry best practices
• Collaborate with cross‑functional teams (data scientist, Credit risk, fraud detection, business unit, and Middle Office Technology team) to collect, analyse, and interpret complex datasets for effective model development
• Manage the full model lifecycle, including development, back‑testing, Validation, calibration, and performance monitoring
• Ensure strict compliance with internal risk management policies and regulatory requirements
• Present model development findings and risk assessments to senior leadership, model end‑users, and internal validation / audit teams
• Stay informed of the latest advancements in credit risk modelling, machine learning, and advanced quantitative techniques
• Mentor and guide junior team members, fostering a culture of continuous learning and innovation
• Drive automation and process improvements in the model development lifecycle
• Translate complex business challenges into actionable analytics requirements
• Lead the development of AIML models to support the bank’s Analytic‑Based Lending (ABL) Strategy, ensuring alignment with business drivers
• Oversee the measurement, development, and execution of Initiatives and workstreams
• Build and maintain strong stakeholder relationships, demonstrating the ability to communicate complex analytics insights effectively to diverse audiences
• Foster collaboration between business, technology, and data teams to integrate advanced analytics seamlessly into decision‑making processes
• Lead overall reporting and updates to executive forums and key stakeholders

Requirements

• Minimum of 10 years of experience in related areas, with a strong‑track record in credit risk model development and implementation (e.g., Application, Behaviour, Collection, Propensity models)
• Hands‑on experience with Eco‑System Lending business related models is a must
• Hands‑on experience of developing credit risk models and fraud analytics solutions, with sound understanding of credit underwriting process
• Outstanding AI/ML modelling and programming expertise, with proficiency in tools such as Python, PySpark, etc.
• In‑depth knowledge of statistical analysis, econometrics, and machine learning techniques
• Proven Ability to work both independently and collaboratively within a team environment
• Exceptional stakeholder management skills, with the ability to convey technical concepts to non‑technical audiences and align mutual priorities
• Strong written and verbal communication skills, coupled with the ability to manage complex projects effectively
• Demonstrated leadership in fostering collaboration across business, risk, and technology teams to drive impactful outcomes.

Apply now

We offer a competitive salary and benefits Package and the professional advantages of a dynamic environment that supports your development and recognizes your achievements.

Job: Analytics