Nexus Frontier Tech is an AI research and solutions development firm. Recognized by Deloitte as one of the Top 50 fastest- growing companies in the UK, Nexus offers financial data processing products through its proprietary generative AI platform that powers modular AI components to automate data- driven processes, extract valuable insights from unstructured data, and improve decision- making processes.
We are looking for a Data Operator to join our talented, energetic team to solve real challenges and create innovative user experiences using AI in the finance industry. They must be a bold and creative thinker driven to achieve in a fast- paced and entrepreneurial work environment.
Job details:
Potential to explore opportunities for cross- functional internal projects.
Ensure data quality assurance: review data for deficiencies or errors, correct any identifying and correcting errors or inconsistencies in data;
Conduct data analysis: Basic data analysis to generate reports or summaries, and extract meaningful insights from data sets;
Lead full- cycle data processing and management processes: inputting, updating, and maintaining data into databases with accuracy and completeness of information;
Work closely with teammates to assess the feasibility and possible solutions to ensure progress and quality of data delivered;
Proactively work with the Data Services Team Lead to solve any issue or problem that might occur during the process that may impact the project;
Requirements:
[Must have]
Experience of using with Google Workspace, MS Office, PDF tools, and data tools;
Good literacy and communication skills (verbal and written) in both Vietnamese & English/ Chinese; Intermediate English (B2) or Chinese (HSK4);
Academic knowledge, work exposure, or interest in Data Analytics.
Proficient in Excel formulas, data structures, and basic visualisation;
Strong interest in data and analytics projects and Artificial Intelligence technologies;
Proactiveness, detailed- oriented, constant- learning mindset, good time management;
Fresh graduate or no experience but willing to learn and develop a career in data or IT;
Ability to research for other data tools as project needs;
[Nice to have]
Bachelor’s degree in Computer Science or related technical fields;
Fluent in Japanese.
Personal laptop;
Exposure to the AI or IT field and GRI framework;
Experience with data management flow and data storage;
Previous experience is optional;