Opportunité Professionnelle : Data Scientist en Risque de Crédit chez OCBC Bank

Présentation de l’Entreprise

OCBC Bank, la banque la plus ancienne de Singapour, est un acteur incontournable du secteur financier asiatique depuis 1932. En s’engageant à comprendre les aspirations individuelles et professionnelles, OCBC propose des solutions financières personnalisées à une clientèle diversifiée. Actuellement, l’institution se transforme pour s’adapter aux nouvelles technologies, cherchant ainsi à devenir un leader en matière de services financiers durables en Asie.

Détails du Poste

Titre du Poste : AVP/VP, Credit Risk Data Scientist, Credit Risk Modelling
Localisation : Singapour
Date de publication : 3 Juin 2025

Objectifs et Missions du Poste

En tant que Credit Risk Data Scientist, vous ferez partie d’une équipe axée sur l’analyse avancée et le développement de modèles de machine learning destinés à l’évaluation et à la gestion du risque de crédit. Votre rôle consistera à :

• Développer, implémenter et maintenir des modèles de risque de crédit basés sur le machine learning.
• Surveiller et analyser la performance des modèles pour garantir leur conformité.
• Collaborer avec divers intervenants pour créer des solutions analytiques adaptées aux besoins d’affaires.

Compétences et Qualifications Requises

Pour mener à bien vos missions, vous devez posséder :

• Un diplôme en science des données, en statistiques, mathématiques ou informatique.
• Une expérience de 5 à 7 ans dans l’analyse de crédit, le modélisation de risque ou un domaine associé.
• Une maîtrise des outils de machine learning tels que Scikit-Learn, TensorFlow ou PyTorch.
• Une familiarité avec des technologies de Big Data comme Hadoop, Hive ou Spark.

Éthique et Inclusivité

OCBC Bank s’engage à créer un environnement de travail inclusif et éthique, soutenant l’égalité des chances et valorisant la diversité. Toutes les candidatures seront examinées sans distinction d’origine, de genre ou d’expérience.

Conditions et Avantages

OCBC Bank offre un salaire compétitif et une gamme d’avantages flexibles adaptés aux différents styles de vie. Les employés auront accès à des opportunités de développement professionnel ainsi qu’à des initiatives communautaires.

Engagement et Impact

Ce rôle vous permettra non seulement de contribuer à l’amélioration des capacités de gestion des risques de la banque, mais aussi d’avoir un impact significatif sur la communauté et l’économie en général.

Pour toute personne intéressée par cette opportunité, postulez dès maintenant !

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📅 Date de publication de l’offre : Tue, 03 Jun 2025 22:27:49 GMT

🏢 Entreprise : OCBC Bank

📍 Lieu : Singapore

💼 Intitulé du poste : AVP/VP, Credit Risk Data Scientist, Credit Risk Modelling

💶 Rémunération proposée :

📝 Description du poste : WHO WE ARE:As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.Today, we’re on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future.We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career.Your Opportunity Starts Here.Why JoinAs a Credit Risk Data Scientist, you will be part of a team that drives the development of advanced analytics and machine learning models to assess and manage credit risk. You will have the opportunity to work with large datasets, develop predictive models, and influence business decisions. Join us and contribute to the bank’s risk management capabilities, while building a rewarding career in a dynamic and supportive team.How you succeedTo succeed in this role, you will need to develop and implement advanced analytics and machine learning models to assess credit risk. This involves collating and analyzing large datasets, identifying patterns and trends, and developing predictive models that can inform business decisions. You will also need to work closely with stakeholders to understand their needs and develop solutions that meet their requirements.What you doDevelop, implement, and maintain machine learning credit risk models supporting the Consumer, Small Business and Wholesale segments of the Group.Monitor, back-test and report performance of the models to ensure adherence to performance standards and early detection of weaknesses.Develop and maintain user requirements, parameters and configurations of systems housing the models.Develop in-depth expertise in credit risk modelling methodologies.Work closely with independent model validators to ensure compliance to model governance framework and timely closure of validation findings.Engage with auditors and regulators to ensure compliance with relevant requirements.Engage with various stakeholders to develop analytical solutions using model outputs in credit decisioning, business strategies, allowance, and capital assessment.Who you work withGroup Risk ManagementGroup Risk Management works independently to protect, build, and drive our businesses. The team supports good decision-making with strong risk analysis and a crucial, comprehensive role in sharpening our competitive edge. Optimising risk-adjusted returns, it’s about seeking and adopting best-in-class practices, protecting the group from unforeseen losses, keeping risk within appetite, and embracing change and managing growth in one of the world’s strongest banks.About the TeamCRM is a high-profile, multi-disciplinary risk analytics team that covers credit risk models at OCBC Group. The key functions CRM performs include developing, implementing and managing various types of credit risk models, such as Credit risk Scorecards, Internal Rating models, IFRS 9 based Expected Credit Loss models, Credit Stress Testing models, Economic Capital models and Machine Learning models that support Group’s credit risk measurement. These models are embedded in the credit underwriting, customer selection, limit setting, early warning and problem recognition, as well as assessment of capital and provision adequacy.Who you areDegree in a Quantitative discipline, such as Data Science, Statistics, Mathematics or Computer Science.At least 5-7 years of relevant experience in a related area.Working experience in credit analysis/modelling or credit risk management of Consumer, Small Business and/or Wholesale portfolios.Proficiency in common machine learning tools and frameworks (Scikit-Learn / Tensorflow / PyTorch).Experience with big data technologies such as Hadoop, Hive and Spark.Knowledge in ML-Ops tools and Git.Analytical and independent thinker with strong written and verbal communication skills.Ability to interact and communicate effectively with senior management.Willing to take on new challenges and work in a fast-paced environment.What we offer:Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.

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