Director, OTCR, Data Scientist

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.

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, 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.