• SAS, SQL
• At least 1 year relevant experience
• Global leading bank

Responsibilities:

• Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
• Identifies and compiles data sets using a variety of tools (e.g. SQL, Python, VBA, Access) to help predict, improve, and measure the success of key business to business outcomes
• Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding the company, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
• Drive automation across various platform / application using Python / RPA / equivalent tools to increase the team productivity/efficiency.
• Build processes and policies supporting data transformation, data structures, metadata, dependency, and data dictionary across the pipeline
• Convert SAS based pipelines into languages like Python to execute on Hadoop and non-Hadoop ecosystems
• Ability to research and assess open source technologies and components to recommend and integrate into the design and implementation

Requirements:

• Bachelors/University degree in Computer Science, Computer Engineering, Mathematics, Business Analytics, Statistics or equivalent experience
• At least 1 year relevant experience in working with large and multiple datasets, data warehouses and ability to pull data using relevant programs and coding.
• Experience of SAS, SQL or equivalent programming syntax is essential
• Well versed with necessary data preprocessing and application engineering skills
• Knowledge of data management, data governance, data security and regulatory practices is preferred
• Experience in Python, hand-on experience on using Python on automation and/or big data/machine learning/advance analytics is a plus
• Experience on visualization tool like Tableau is a plus
• Strong analytic ability, quantitative skills and problem solving abilities
• Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment.
• Proactive, self-motivate and can-do attitude

Interested parties please send your full resume with current and expected salary by clicking "Apply Now".