What are the responsibilities and job description for the Senior Data Quality Assurance Engineer position at HexaQuEST Global, Inc.?
Senior Data Quality Assurance Engineer
Responsibilities
The Senior Data Quality Assurance Engineer will be responsible for ensuring the accuracy, integrity, and consistency of data across our systems. This role involves designing and implementing quality frameworks, conducting data quality assessments, and performing advanced statistical validations. The ideal candidate will leverage AI / ML techniques to detect patterns and anomalies in financial and investment data. Additionally, this position focuses on automating data quality processes to uphold robust data governance and ensure compliance with industry regulations.
- Lead the design and implementation of quantitative data quality frameworks, including statistical checks and anomaly detection systems.
- Utilize advanced statistical methods (e.g., linear and non-linear modelling, Bayesian analysis) to evaluate data quality across large, complex datasets.
- Develop and integrate AI / ML models for predictive data quality checks and to improve data accuracy over time. Improvement in data collection
- Ensure compliance with financial regulations and industry standards related to data governance, including managing data privacy and security risks.
- Mentor junior quantitative analysts, promoting best practices in data quality management and statistical analysis.
- Communicate findings, data quality trends, and proposed solutions to senior leadership, ensuring data-driven decision-making.
- Lead the creation and maintenance of automated test scripts to improve test efficiency.
- Ensure continuous integration of automated tests into the CI / CD pipeline.
- Identify gaps in testing coverage and propose solutions.
Requirements
