Director of Model validation

Job ID: 25988

Location: Singapore, SG

Area of interest: Technology

Job type: Regular Employee

Work style: Hybrid Working

Opening date: 21 Apr 2025

• Provide thought leadership in data science techniques and business applications to unlock the value of SCB’s data sets and external information.
• Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent and infrastructure.
• Engage with internal clients to improve delivery of analytic projects.
• Explore leading methodologies and best practices and importing successful methodologies from international markets.
• Display exemplary conduct and live by the Group’s Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.

• 12 years of relevant working experience
• Building and deploying machine learning models to detect and prevent financial crimes, achieving a measurable reduction in fraud losses for Standard Chartered.
• Implement Generative AI solutions to generate synthetic data for training, improving model accuracy by at least 15% in FinCrime and Compliance use cases.
• Mentor and guide a team of machine learning engineers and data scientists, fostering a culture of technical excellence and innovation within the FinCrime and Compliance domain.
• Lead a team to deliver production-ready ML pipelines within 6 months, integrating real-time transaction monitoring for anti-money laundering (AML) compliance.
• Optimize feature engineering and model tuning to increase detection rates of suspicious activities
• Roll out scalable ML systems that process millions of transactions daily, reducing false positives in compliance alerts
• Drive the adoption of advanced ML algorithms to identify sanctions evasion patterns, cutting investigation times for compliance teams.
• Deliver quarterly reports showing improvements in key FinCrime KPIs, such as alert accuracy and case resolution speed, to senior management.
• Execute A/B testing on ML-driven compliance tools, achieving a statistically significant boost in operational efficiency
• Proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to build and deploy production-grade machine learning models.
• Hands-on experience with LLMs techniques (e.g., RAG, Agents, Graph RAG) to improving FinCrime detection accuracy.
• Expertise in model optimization and hyperparameter tuning to achieve high precision and recall in fraud detection and compliance applications.
• Advanced understanding of statistical methods and anomaly detection algorithms to identify suspicious patterns in financial data.

• Relevant degree qualification preferred

• Manage Conduct
• Risk Management
• People Management

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.