Wait, What Do You Do?

<div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Job Summary</b></H2> </div><div><p><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Role Purpose</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Drive the design, development, and deployment of advanced analytics, machine learning and AI solutions that strengthen the bank’s risk management and regulatory compliance capabilities by transforming traditional, reactive risk management into proactive, predictive, and automated frameworks.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">The role sits within the AI CoE and partners with Risk, Compliance, Technology, and Data teams to:</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Identify and prioritize high impact AI/ML use cases (e.g., financial crime, credit risk, operational risk, conduct & compliance monitoring).</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Build robust, explainable models and analytical solutions that comply with internal policies and external regulations.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Embed models into business processes, ensuring they are trusted, monitored, and continuously improved.</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Key Responsibilities</b></H2> </div><div><p><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Use Case Formulation & Solution Design</span></strong><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Collaborate with Risk and Compliance stakeholders to translate business problems into clearly defined analytics/ML use cases with measurable outcomes.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Conduct feasibility assessments, including data availability, model ability, risks, and expected value.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Develop solution designs and model blueprints, including data pipelines, features, algorithms, controls, and monitoring approach.</span><br><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Model Development & Implementation</span></strong><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Design, build, and validate statistical and machine learning models for areas such as:</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Credit risk scoring and early warning indicators</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Financial crime (AML, fraud detection, sanctions screening enhancements)</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Conduct risk and compliance surveillance</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Operational and cyber risk analytics</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Implement models using appropriate tools and frameworks (e.g., Python, R, SQL, Spark) following the bank’s model risk and development standards.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Ensure models are explainable, auditable, and compliant with model governance, regulatory expectations, and ethical AI principles.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Partner with Technology/Data Engineering to productionize models and integrate them into business workflows and platforms.</span><br><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Data Management & Feature Engineering</span></strong><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Source, explore, and assess the quality of internal and external datasets relevant to risk and compliance.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Design and implement robust data preprocessing, feature engineering, and variable selection pipelines.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Ensure data usage adheres to data privacy, security, and governance standards.</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"></H2> </div><div><p><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Model Validation, Monitoring & Governance</span></strong><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Define, implement, and document model performance metrics and validation approaches (e.g., accuracy, stability, fairness, drift).</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Support internal model validation, audit, and regulatory reviews by providing clear documentation and technical explanations.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Design monitoring dashboards and processes to track model performance, drift, and usage; proactively recommend recalibration or redevelopment where needed.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Ensure adherence to model risk policies, governance frameworks, and regulatory guidelines for AI and advanced analytics.</span><br><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Stakeholder Engagement & Change Management</span></strong><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Present analytical insights and model outcomes in a clear, non technical manner to senior stakeholders in Risk, Compliance, and Business.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Collaborate with Operations, Technology, and Change teams to embed models into processes, controls, and decisioning systems.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Provide training and guidance to Risk and Compliance teams on the use and limitations of analytical models and AI tools.</span><br><span style="text-decoration:underline"><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Key stakeholders</span></strong></span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Technology (AI Engineering Lead; Data Engineering Lead; platform owners)</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Functions CDO stakeholders (standards, platform, data foundations)</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• AI Services</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Legal, Privacy, Cyber Security, Model Risk, Operational Risk</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Internal Audit / Assurance partners</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• COO / Finance partners (capacity and investment planning)</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• AI Solutions Team</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Compliance & Governance</span></p> <p><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt"><strong>Other Responsibilities</strong><br>• Exposure to advanced machine learning methodologies is a plus <br>• Embed “Here for Good” and Group values within the team and across partner interactions.<br>• Perform other responsibilities as assigned under Group, country, business, or functional policies and procedures, consistent with role scope.</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Skills and Experience</b></H2> </div><div><p><span style="text-decoration:underline"><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Experience</span></strong></span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Experience designing and delivering digital, data, or AI solutions in a complex, regulated environment (financial services or consulting preferred).</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Hands on exposure to GenAI/LLM projects (POCs, pilots, or production solutions).</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Background in one or more of: solution architecture, data/ML engineering, or advanced analytics.</span><br><span style="text-decoration:underline"><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Technical Skills</span></strong></span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Strong hands on experience with advanced analytics and ML techniques, such as:</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Supervised and unsupervised learning (classification, regression, clustering, anomaly detection)</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Time series modelling and forecasting</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Natural Language Processing (for compliance text analysis, document review, surveillance)</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Proficiency in programming languages and tools commonly used for data science (e.g., Python, R, SQL; experience with Spark or similar big data tools is a plus).</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Experience in model lifecycle management: development, validation, deployment, and monitoring.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Familiarity with MLOps concepts and tools (e.g., model versioning, CI/CD for ML, monitoring platforms) is desirable.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Solid understanding of data management practices, including data quality, lineage, and governance.</span><br><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Risk & Compliance Knowledge</span></strong><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Practical experience in risk, financial crime, or compliance analytics within financial services or consulting is highly desirable.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Understanding of regulatory expectations related to model risk management, use of AI, and data privacy within banking.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Awareness of challenges such as bias, fairness, explainability, and ethical considerations in AI for risk and compliance.</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"></H2> </div><div><p><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Analytical & Problem-Solving Capabilities</span></strong><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Strong analytical thinking with the ability to decompose complex, ambiguous problems into structured analytical tasks.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Ability to balance technical sophistication with practical constraints (data quality, regulatory requirements, operational reality).</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Skilled at quantifying benefit/risk trade offs and recommending pragmatic solutions.</span><br><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Stakeholder & Communication Skills</span></strong><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Ability to communicate complex technical concepts in clear business language to non technical stakeholders.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Strong stakeholder management and influencing skills; able to collaborate effectively across Risk, Compliance, Technology, and Business.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Experience working in cross functional, agile or project based teams.</span><br><strong><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">Personal Attributes</span></strong><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• High integrity and strong risk and control mindset.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Curiosity and proactive learning attitude towards emerging AI, analytics, and regulatory trends.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Outcome oriented, with a focus on delivering value safely and compliantly.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Resilient, adaptable, and comfortable working in a fast evolving environment</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>Qualifications</b></H2> </div><div><p><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Engineering, or related discipline.</span><br><span style="font-family:arial, helvetica, sans-serif;font-size:10.0pt">• Postgraduate degree and/or relevant professional qualifications in analytics, risk, or compliance are an advantage.</span></p></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>About Standard Chartered</b></H2> </div><div><p>We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.</p> <p>Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.</p> <p>Together we:</p> <ul> <li><b>Do the right thing</b> and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do</li> <li><b>Never settle,</b> continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well</li> <li><b>Are better together,</b> we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term</li> </ul></div></div><div style="padding:10.0px 0.0px;border:1.0px solid transparent"><div style="font-size:14.0px;word-wrap:break-word"><H2 style="font-size:1.0em;margin:0.0px"><b>What we offer</b></H2> </div><div><p><b>In line with our Fair Pay Charter,</b> we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.</p> <ul> <li><b>Core bank funding for retirement savings, medical and life insurance,</b> with flexible and voluntary benefits available in some locations.</li> <li><b>Time-off</b> 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.</li> <li><b>Flexible working</b> options based around home and office locations, with flexible working patterns.</li> <li><b>Proactive wellbeing support</b> 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</li> <li><b>A continuous learning culture</b> to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.</li> <li><b>Being part of an inclusive and values driven organisation,</b> one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.</li> </ul></div></div></div>

Specialist, Data, Analytics & AI