Manager, Systems & Data (Group Wholesale Banking)
- Posted 4 months ago
- Be among the first 10 applicants
Job Description
Key Responsibilities
- Data Collection: Collaborate with teams across departments and units to gather and compile relevant data from various sources.
- Data Cleaning and Preparation: Clean, preprocess, and transform data to ensure it is suitable for analysis.
- Data Analysis: Conduct data analysis to identify trends, patterns, and outliers.
- Data Maintenance: Assist in maintaining and updating databases, ensuring data integrity and consistency.
- Reporting: Generate regular reports and ad-hoc analyses to support business operations and decision-making.
- Automation: Design, develop, and implement automation solutions using appropriate tools and technologies.
- Documentation: Maintain and update documentation to reflect changes in data infrastructure or processes.
- Collaboration: Work with cross-functional teams to support data-related projects and initiatives.
Key Requirements
- Minimum 2 years of work experience in executing operational tasks and participating in projects.
- Basic programming experience in PHP, SQL, SAS, or Macros.
- Must hold at least a bachelor's degree.
More Info
About Company
Skills:
Macros, Microsoft Excel, Actuarial Science, Statistics, Mathematics, Microsoft Word
Skills:
Bi Tools, Sql, gamification, consumer-facing product design, task systems, viral growth features
Skills:
Sql, Payroll, Hr Management, Employee Relations, Recruitment, Hr Policies, HR System
Skills:
Power Bi, Tableau, Sql, Microsoft Excel, Payment Operations, Fintech Operations, Treasury Operations, Settlement processes, Finance Operations, Banking Operations, ERP systems, treasury management systems, Reconciliation, Financial Controls, Treasury Operations, payment platforms, Payment lifecycle
Skills:
Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), Machine Learning, Tensorflow, Pytorch, Python, Sql, Deep Learning, MLops, AWS Bedrock, AI Agents, Model Lifecycle Management, Hugging Face, Responsible AI frameworks, Azure AI Foundry, Vector Databases, Intelligent Automation, semantic search, Google Vertex AI, Generative AI, AI governance controls, Azure OpenAI Service, Scikit-learn, Data Science Tooling, Prompt Engineering