Responsibilities

Develop and maintain systems in accordance with department standards and conduct system analysis tasks
Provide support for Risk Data reporting and analysis.
Create and update documentation for systems.
Build analytical and scientific solutions to address business issues
Support data democratization within the company by developing dashboards and transferring skills.
Support the implementation of various metadata applications in a Cloud platform.
Collaborate with software developers and machine learning engineers to implement analytical models into production.
Utilize EWM for version control and project management, collaborating with data scientists and engineers.
Create Confluence pages, data dictionaries, and metadata for technical documentation.
Utilize data visualizations to present findings and insights relevant to risk control.
Collaborate with Operations staff to ensure the quality and availability of production application systems.

Requirements

Degree holder in Computer Science, Data Analytics/ Science, Information Management or a related field.
At least 5 years of experience in data analytics and/or related industries, with at least 2-3 years in data science/cloud platform.
Familiarity with common data science languages/toolkits, such as Python, SQL, R, Scala, Apache Spark, Keras, etc., for data manipulation and deriving insights from large datasets is desirable.
Possess solid experience in Unix scripting and SQL/PLSQL programming in Oracle DB.
Possess solid experience in key machine learning and big data cloud platforms, such as Microsoft Azure ML Services & Data Warehouse, AWS SageMaker & Redshift, Google ML and BigQuery, etc.
Experience with data architectures and data visualization BI tools (e.g., Tableau, PowerBI, Cognos, etc.).
Experience working with large-scale datasets and complex data models.
Good to have exposure to Bank Risk Management and Data Warehouse
Strong communication and presentation skills to effectively convey findings to both technical and non-technical stakeholders.
Ability to work independently with minimal supervision and collaboratively in a team.
Self-motivated, proactive, and capable of multitasking.

Data Analyst