Job Summary

Key Responsibilities

Data Analysis and Modelling
•    Perform exploratory data analysis to identify trends, anomalies and insights across internal and external datasets.
•    Develop and implement predictive models using machine learning, statistical methods and natural language processing, where appropriate.
•    Apply quantitative analysis to support scenario assessments, thematic reviews and stress testing.
•    Ensure model outputs are explainable, validated and compliant with internal governance standards.
Data Management and Quality Assurance
•    Ingest, clean and transform datasets from internal systems (e.g. M7, iTrack, FICA) and external sources (e.g. ORX and industry loss databases).
•    Build and maintain reliable data pipelines to support consistent and repeatable analysis.
•    Maintain data integrity through data lineage documentation, quality checks and reconciliation processes.
•    Ensure datasets are audit-ready and meet internal governance and regulatory requirements.
Data Visualisation and Communication
•    Develop dashboards and visualisations using Power BI, Tableau, Python or equivalent tools.
•    Present analytical findings clearly to support senior management decision-making.
•    Translate complex technical outputs into practical insights for governance and committee reporting.

Stakeholder Collaboration and Analytical Support
•    Work closely with Risk SMEs, Technology teams and business stakeholders to define analytical requirements and develop practical solutions.
•    Provide data-driven insights to support risk management and transformation decisions.
•    Share analytical expertise and contribute to building data literacy and analytical capabilities within OTCR.
Risk Governance and Compliance
•    Ensure analytical activities comply with applicable risk management frameworks, data governance standards and regulatory requirements.
•    Maintain appropriate documentation, controls and evidence to support model validation, audit and regulatory scrutiny.
•    Escalate material data quality issues, analytical limitations and risks to relevant stakeholders.

Skills and Experience

Priority Skills    
•    Data Science and Advanced Analytics
•    Statistical Modelling and Machine Learning
•    Data Management and Quality Assurance
•    Python / R / SQL
•    Data Visualisation and Reporting
•    Analytical and Critical Thinking
•    Risk Management and Regulatory Knowledge
•    Stakeholder Engagement and Communication
•    Data Governance and Model Validation
•    Transformation Programme Support
Other Skills    
•    Spark / SAS and Large-Scale Data Processing
•    Power BI / Tableau
•    Data Pipeline Development
•    Scenario Analysis and Stress Testing
•    Cross-Functional Collaboration 

Qualifications

•    5–8 years of experience in data science, advanced analytics or statistical modelling, preferably within financial services or risk management.
•    Practical experience in data analysis, machine learning, data pipeline development and data visualisation, with the ability to communicate technical findings to non-technical stakeholders. Experience supporting large-scale transformation or regulatory programmes is desirable.
•    Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science or a related discipline.
•    Relevant professional certifications in data science, analytics or related disciplines are desirable.
•    Proficiency in English, including the ability to communicate technical findings clearly to business stakeholders.

About Standard Chartered

We're a global bank connecting clients to our differentiated network, offering growth opportunities in the world's most dynamic markets. Our strategy, which combines cross-border capabilities and leading wealth management expertise, helps us deliver our purpose - to drive commerce and prosperity through our unique diversity.

Over our 170-year history, and across a unique geographical footprint connecting Asia, Africa and the Middle East to each other and the world, we've built a bank like no other, with diverse capabilities and partnerships that set us apart.

What We Offer

• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions, and geographies.
• In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.
• 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 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.

Visit our careers website to learn more about us: www.sc.com/careers.