VP, Senior Data Scientist, Group Legal and Compliance Analytics

DBS Bank Ltd; Singapore; Sur place; SGD 180 000 - 320 000; Plein temps

Résumé du poste

DBS Bank Ltd. seeks a Senior Data Scientist to lead ML initiatives within Group LCS. You will collaborate with senior management to shape the AI/ML strategy for financial crime surveillance, including AML networks, transaction monitoring, and sanctions screening.

You will drive end-to-end data science, build models with Python/PySpark, leverage cloud platforms, and mentor junior teammates while ensuring governance and post-deployment monitoring.

Qualifications

• Degree in ML, statistics or related field.
• Experience in hands-on data analytics or AI/ML projects.
• “End-to-end” data science project involvement and production deployment.
• Familiarity with ML pipelines, versioning, testing, and modular code.
• Able to communicate complex concepts to non-technical stakeholders.
• Experience in agile environments and mentoring juniors.

Responsabilités

• Own and execute machine learning initiatives regionally for Group LCS.
• Plan, develop, and deliver analytics models for Financial Crime, Legal and Compliance (e.g., AML, Transaction Monitoring, Sanctions).
• Collaborate with domain experts and data scientists to drive projects.
• Translate analyses into actionable insights for strategy and standards.
• Ensure governance, AI protocol adherence, data governance, monitoring, and reviews.
• Mentor junior team members.

Connaissances

Machine learning

Data mining

Statistical modelling

End-to-end data science

Python

PySpark

SQL

Cloud platforms

Data visualization

Team mentorship

Communication

Agile

Formation

Advanced degree in ML/Statistics

Outils

Python

PySpark

SQL

Cloud platforms

Jupyter/Notebook

ML libraries

Description du poste

Business Function

Group Legal, Compliance & Secretariat (LCS) ensures that the bank’s interests are protected by zealously guarding and enhancing its reputation and capital. We also work to maintain good standing with all our regulators, customers, and business partners. Because we believe that at the heart of business banking is to uphold the values of trust and integrity for all our stakeholders.

Job Purpose

Reporting to the Machine Learning (ML) lead, the senior data scientist will be responsible for various data science and machine learning initiatives and projects in Group LCS. This role will work closely with senior management, business users and technology partners to co-develop and execute the strategy and roadmap of applying AI/ML to improve the effectiveness and efficiency of the Bank’s financial crime surveillance processes and controls.

Responsibilities

• Own and execute machine learning products and initiatives regionally for Group LCS in selected verticals.
• Conceptualise, plan, develop, and deliver relevant analytics models and innovative solutions in Financial Crime, Legal and Compliance, such as Anti-Money Laundering Networks, Transaction Monitoring, Fraud Prevention, Money Mule detection, and Sanctions Screening.
• Partner with domain experts and fellow data scientists from cross-functional teams to drive projects.
• Condense analysis into actionable insights for informed decision-making, strategy development and formulation of standards to enhance business performance and operations at LCS.
• Ensure adherence to the bank’s governance policy and best practices in AI/ML industrialisation, including but not limited to code review, creation and adoption of reusable assets, active adoption of bank’s AI protocol, data governance, post-deployment monitoring, and regular technical / audit / business review of the solution.
• Provide guidance and mentorship to junior team members.

Requirements

• Degree with a strong focus in machine learning, data mining, or statistical / mathematical modelling with deep theoretical knowledge.
• 8+ years of relevant working experience, preferably the most recent 5+ years were on hands-on development of data analytics or AI/ML solutions.
• Familiar with analytics and machine learning platforms and how it integrates with upstream and downstream data and production systems.
• Hands-on experience in end-to-end data science projects covering problem formulation, exploratory data analysis, ML modelling, production deployment, monitoring and production support.
• Familiar with developing machine learning pipelines following dev practice such as versioning, branching, merging, linting, testing and writing codes in a structured and modularised way.
• Able to analyse business needs, and articulate the solution framework, including the model output, business decision and potential impact to drive the adoption of the solution.
• Comfortable working on complex problems, with experience delivering solutions that work under the business or technical constraints, using cutting-edge tools in an agile environment.
• Good presentation and communication skills. Able to explain technical concepts and solutions to a non-technical audience.
• Technical skills: Python, PySpark, SQL, libraries and tools for ML, data visualisation and dashboard, practical experience with cloud platforms.
• Experienced and comfortable working with AI assisted development tools.
• An understanding of the legal and compliance issues of complex banking organisations will be a plus.

Location:

DBS Asia Central

Job:

Analytics

Schedule:

Regular

Employee Status:

Full time