Standard Bank Group
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Standard Bank Group
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Job Description
The Analyst will support the Energy & Infrastructure Investment Banking team in the origination, structuring, and execution of complex project finance and corporate lending transactions.
This role offers exposure to the full deal lifecycle, from initial client engagement through to financial close and portfolio monitoring. The Analyst will contribute to delivering high-quality financial analysis, supporting transaction execution, and enabling exceptional client outcomes.
Qualifications
**Type of Qualification: **
**Field of Study: **
Experience Required
1-3 years
Relevant experience in Investment Banking, Corporate Finance, Project Finance, or a related financial services environment
Experience in financial modelling and analysis
Demonstrated ability to analyse data and translate insights into actionable recommendations
Exposure to Energy & Infrastructure, project finance, or corporate lending is advantageous.
Additional Information
Behavioural Competencies:
Strong attention to detail and commitment to delivering high-quality outputs
Ability to manage multiple tasks and meet tight deadlines in a fast-paced environment
Effective communication and presentation skills
Collaborative team player with the ability to work across multidisciplinary teams
Problem-solving mindset with strong analytical and critical thinking abilities
Proactive, self-motivated, and results-driven
Technical Competencies:
Financial modelling
Financial statement analysis and credit assessment
Economic and industry research
Deal appraisal and structuring fundamentals
Data analysis and interpretation
Job Description
Qualifications
Type of Qualification:
**Field of Study: **
Experience Required
5-7 years
Expert proficiency in SQL and experience working with large-scale relational database systems.
Strong programming skills in Python or Scala for data manipulation and automation.
Demonstrated experience with Big Data technologies (e.g., Apache Spark, Apache Kafka).
Experience designing and building solutions on at least one major Cloud Platform (AWS, Azure, or GCP).
Familiarity with Data Warehousing concepts and tools, including ETL scheduling and orchestration (e.g., Airflow).
Solid understanding of version control systems (Git).
Experience with Power BI for data modelling, dataset preparation, and enabling business analytics consumption.
Additional Information
Behavioural Competencies:
Articulating Information
Checking Things
Developing Expertise
Interpreting Data
Taking Action
Team Working
Technical Competencies:
Big Data Frameworks and Tools
Data Engineering
Data Integrity
IT Knowledge
Stakeholder Management