About the Job
Standard Chartered is hiring an Analyst – Data Strategy to join its Risk Data Hub team. In this role, you'll help build high-quality data products, automate data sourcing processes, and support enterprise risk reporting by transforming, validating, and maintaining risk data. You'll work with technologies such as Python, SQL, SAS, Tableau, and Excel Automation while collaborating with multiple risk and technology teams across the bank.
As an Analyst – Data Strategy, you'll contribute to data analytics, reporting, data quality validation, proof-of-concept development, and risk data management initiatives. This role offers an excellent opportunity to build expertise in banking risk management, data science, analytics, automation, and enterprise data engineering while working on global financial data platforms within Standard Chartered.
Job Overview
Eligibility Criteria
- Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Information Technology, Data Science, or a related technical discipline.
- Strong programming experience using SQL, Python, SAS, and Excel Automation for data analysis, transformation, and reporting.
- Excellent analytical, logical reasoning, critical thinking, and problem-solving skills with the ability to work on complex datasets.
- Hands-on experience in data management, data quality validation, data sourcing, transformation, mapping, and data preparation for analytics or reporting.
- Knowledge of Tableau, data models, data visualization, and business intelligence concepts is preferred.
- Exposure to Banking Risk Management, Risk Reporting, Stress Testing, IFRS9, Credit Risk Modelling, or Enterprise Risk Analytics will be an added advantage.
- Basic understanding of Machine Learning methodologies, coding best practices, and automation techniques is desirable.
- Excellent verbal and written communication skills with the ability to collaborate effectively with cross-functional teams and senior stakeholders in a global banking environment.
Key Responsibilities
- Develop, maintain, and enhance enterprise risk data products by sourcing, transforming, mapping, validating, and enriching data for reporting, analytics, and visualization.
- Collaborate with Risk Reporting, Enterprise Risk Management, Technology, and business teams to build next-generation data products and analytics solutions.
- Assess business problems, identify data-driven opportunities, and propose scalable analytical solutions that improve decision-making and reporting.
- Design, develop, and validate proof-of-concept (PoC) solutions, coordinate with stakeholders, gather feedback, and support the production deployment of successful solutions.
- Perform comprehensive data quality checks, validation, reconciliation, and governance activities to ensure accurate, reliable, and high-quality risk data.
- Utilize Python, SQL, SAS, Excel Automation, and Tableau to automate data processes, analyze large datasets, generate insights, and create business reports.
- Support enterprise risk initiatives by collaborating with teams responsible for Stress Testing, IFRS9, Credit Risk Modelling, Operational Risk, Model Validation, and Data Governance.
- Ensure compliance with internal governance standards, BCBS 239 principles, regulatory requirements, and Standard Chartered's Code of Conduct while continuously improving data management processes.
Skills Required
- Programming & Data Analysis – Strong proficiency in Python, SQL, SAS, and Excel Automation for data extraction, transformation, analysis, and reporting.
- Data Management – Experience with data sourcing, data wrangling, data mapping, ETL concepts, data quality validation, governance, and business data models.
- Business Intelligence & Visualization – Knowledge of Tableau, dashboard creation, data visualization, reporting, and business analytics.
- Banking Risk Analytics – Understanding of Risk Management, Enterprise Risk Analytics, BCBS 239, Stress Testing, IFRS9, Credit Risk Modelling, and regulatory reporting concepts is an added advantage.
- Problem Solving – Strong analytical thinking, logical reasoning, critical thinking, debugging, and the ability to solve complex business and data-related challenges.
- Machine Learning – Basic exposure to machine learning methodologies, predictive analytics, or statistical modelling is desirable.
- Communication & Collaboration – Excellent verbal and written communication skills with the ability to work effectively with business stakeholders, technology teams, and senior management.
- Professional Skills – Attention to detail, ownership, adaptability, stakeholder management, teamwork, continuous learning, and the ability to work in a fast-paced global banking environment.
Skills to Add in Your Resume
TECHNICAL SKILLS
| Programming | Python, SQL, SAS, Excel Automation |
| Data Engineering | Data Wrangling, ETL, Data Mapping, Data Transformation, Data Quality Validation |
| Analytics | Data Analysis, Business Analytics, Risk Analytics, Statistical Analysis |
| Visualization | Tableau, Dashboards, Data Visualization, Business Reporting |
| Banking & Risk | Risk Management, BCBS 239, Stress Testing, IFRS9, Credit Risk Modelling, Data Governance |
| Machine Learning | Machine Learning Fundamentals, Predictive Analytics, Statistical Models |
| Database Skills | SQL Queries, Data Models, Database Management, Data Cleansing |
| Professional Skills | Analytical Thinking, Problem Solving, Communication, Stakeholder Management, Teamwork, Attention to Detail |
ATS Resume Tip: Include keywords such as Python, SQL, SAS, Tableau, Excel Automation, Data Wrangling, ETL, Data Quality, Data Governance, Risk Analytics, Banking Risk Management, BCBS 239, IFRS9, Stress Testing, Credit Risk Modelling, Data Visualization, Business Intelligence, Machine Learning, Data Models, and Statistical Analysis. Highlight analytics projects, SQL dashboards, Tableau reports, Python automation, internships, certifications, GitHub repositories, and measurable business outcomes to maximize your ATS score.
Who Can Apply?
- Candidates with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Information Technology, Data Science, Engineering, or a related technical discipline.
- Fresh graduates and candidates with 0–2 years of experience in Data Analytics, Data Engineering, Business Intelligence, Risk Analytics, or Data Management.
- Applicants with strong programming knowledge in Python, SQL, SAS, and Excel Automation for data analysis and reporting.
- Candidates experienced in data wrangling, ETL processes, data quality validation, data governance, data transformation, and business data modelling.
- Individuals with hands-on experience in Tableau, data visualization, dashboard development, business reporting, and analytics.
- Candidates having exposure to Banking Risk Management, Enterprise Risk Analytics, Stress Testing, IFRS9, Credit Risk Modelling, or BCBS 239 will have an added advantage.
- Applicants with strong analytical thinking, logical reasoning, communication, stakeholder management, and problem-solving abilities who enjoy working with large datasets.
- Individuals looking to build a career in Banking Analytics, Risk Data Engineering, Data Strategy, Business Intelligence, or Enterprise Data Management within a global financial institution.
Benefits
- Receive a competitive salary and comprehensive benefits package aligned with Standard Chartered's Fair Pay Charter, supporting your professional and personal growth.
- Enjoy medical insurance, life insurance, retirement savings support, and access to flexible voluntary benefits, depending on location and eligibility.
- Benefit from generous paid time off, including annual leave, public holidays, parental leave, maternity leave (up to 20 weeks), volunteering leave, and sabbatical opportunities.
- Experience flexible working arrangements with opportunities to balance office collaboration and flexible work patterns based on business requirements.
- Access industry-leading learning resources through Standard Chartered's continuous learning culture, including digital learning platforms, professional certifications, reskilling, and upskilling programs.
- Receive proactive wellbeing support through Unmind, Employee Assistance Programs (EAP), resilience training, mental health resources, and wellness initiatives.
- Work with global teams on enterprise-scale banking, data analytics, risk management, and digital transformation projects while collaborating with experienced professionals across multiple business functions.
- Build a long-term career in an inclusive, diverse, and values-driven organization that encourages innovation, collaboration, continuous learning, and professional development.
Estimated Salary
How to Apply
01
Visit the Official Standard Chartered Careers Page
Click the Apply Now button below to visit the official Standard Chartered Careers portal and carefully review the complete job description, eligibility criteria, and role requirements.
02
Complete the Online Application
Fill in your personal, academic, and professional information accurately. Verify all details before submitting your application.
03
Upload Your ATS-Friendly Resume
Upload your latest resume highlighting Python, SQL, SAS, Tableau, Excel Automation, Data Analytics, Data Engineering, Risk Analytics, Business Intelligence, and technical projects. Include measurable achievements, certifications, internships, and relevant analytics experience.
04
Complete the Selection Process
Shortlisted candidates may participate in online assessments, technical interviews covering SQL, Python, analytics, data management, problem-solving, stakeholder discussions, and HR interviews before the final selection.
05
Submit and Track Your Application
Review your application before submission and regularly monitor your registered email and the Standard Chartered Careers portal for recruitment updates, assessments, and interview invitations.
Resume Tip
Tailor your resume by highlighting Python, SQL, SAS, Tableau, Excel Automation, Data Analytics, Data Engineering, Data Wrangling, ETL, Data Governance, Risk Analytics, Business Intelligence, Banking Risk Management, Machine Learning fundamentals, and Statistical Analysis. Include analytics dashboards, SQL projects, Tableau reports, Python automation, internships, certifications, GitHub repositories, and measurable business impact to maximize your chances of getting shortlisted.
Before You Apply
Important Information
- Carefully review the eligibility criteria and ensure your academic background and technical skills align with the Analyst – Data Strategy role before submitting your application.
- Update your resume with projects related to Python, SQL, SAS, Tableau, Data Analytics, ETL, Data Engineering, Risk Analytics, Business Intelligence, and Data Visualization.
- Strengthen your understanding of SQL queries, Python programming, Excel Automation, Tableau dashboards, data quality validation, and data governance before appearing for technical interviews.
- If you have worked on banking analytics, risk reporting, IFRS9, Stress Testing, BCBS 239, machine learning, or enterprise data management, make sure to highlight those experiences in your resume.
- Prepare to discuss your technical projects, problem-solving approach, data modelling techniques, stakeholder collaboration, and analytical thinking during interviews.
- Keep your registered email address and contact details active, as assessment links and interview invitations will be shared through the Standard Chartered recruitment team.
- TechJobsAlert does not charge any fee for job updates or applications and is not involved in Standard Chartered's recruitment or selection process.
- Job responsibilities, eligibility criteria, compensation, benefits, interview process, and hiring timelines may change without prior notice. Always verify the latest information on the official Standard Chartered Careers website before applying.