<p><strong><span style="text-decoration: underline;">The Company</span></strong></p><p>Multinational financial group operating primarily within Europe and Asia.</p><p> </p><p><strong><span style="text-decoration: underline;">The Role</span></strong></p><ul><li>Build and deploy advanced data models, statistical techniques, and machine learning / AI algorithms to address challenging business problems in financial services.</li><li>Analyze massive datasets to extract actionable insights and enable data-driven decision-making.</li><li>Design and conduct experiments to validate hypotheses, assess model performance, and enhance predictive accuracy. Continuously research innovative approaches in AI/ML and contribute to the team's knowledge repository.</li><li>Work closely with regional teams, stakeholders, and business units to define requirements and translate business objectives into technical solutions. Act as a liaison between technical teams and business users.</li><li>Evaluate multiple data sources, determine optimal data utilization strategies, and maintain scalable pipelines to support AI-driven project work.</li><li>Articulate technical concepts, insights, and results clearly to non-technical stakeholders and senior leaders. Translate complex data science findings into understandable, actionable recommendation.</li><li>Contribute to team skill-building by sharing expertise, contributing code, and guiding junior team members on best practices in data science techniques.</li></ul><p> </p><p><strong><span style="text-decoration: underline;">Your Profile</span></strong></p><ul><li>Master's degree or Ph.D. in Data Science, Computer Science, Mathematics, Statistics, or related fields preferred.</li><li>Minimum <strong>8+ years</strong>of relevant experience in <strong>Data Science</strong> roles with applications in financial services. Prior experience with <strong>regional</strong> or multi-geography projects is a plus.</li><li>Proficiency in building and deploying machine learning / AI models using frameworks like <strong>TensorFlow</strong>, <strong>Keras</strong>, and <strong>Scikit-learn.</strong></li><li>Advanced skills in <strong>Python</strong>or similar programming languages, with expertise in AI libraries and production-level coding.</li><li>Demonstrated hands-on experience with <strong>AWS</strong>, <strong>Azure</strong>, or similar cloud infrastructure services for deploying scalable AI solutions.</li><li>Experience with big data tools like <strong>Spark</strong>, <strong>Hadoop</strong>, and relational/non-relational databases (e.g., SQL, NoSQL) is essential.</li><li>Willing and able to travel regionally to support regional teams and cross-border initiatives.</li></ul><p> </p><p><strong><span style="text-decoration: underline;">Apply Today </span></strong></p><p>To apply online (Word attachment only), please click the 'Apply' button. Please note that only short-listed candidates will be contacted.</p><p><em>Reference Number: 67010-0013282065</em></p><p><em>By clicking 'apply', you give your express consent that Robert Half may use your personal information to process your job application and to contact you from time to time for future employment opportunities. For further information on how Robert Half processes your personal information and how to access and correct your information, please read the Robert Half privacy notice: <a href="https://www.roberthalf.com/hk/en/privacy">https://www.roberthalf.com/hk/en/privacy</a>. Please do not submit any sensitive personal data to us in your resume (such as government ID numbers, ethnicity, gender, religion, marital status or trade union membership) as we do not collect your sensitive personal data at this time.</em></p><img src="https://counter.adcourier.com/VmljdG9yaWEuVHNhbmcuNzAxODkuMTA5MTVAcmhpaGsuYXBsaXRyYWsuY29t.gif">