Job Scope
- Undertake the daily/weekly/regular exception reviews flagged in post trading monitoring.
- Collaborate with business, technology, and operations teams.
- Understand business requirements and translate them into analytical solutions.
- Communicate insights effectively to both technical and non-technical audiences.
- Ensure adherence to data governance, standards, and compliance requirements.
- Monitor data quality and implement validation checks.
- Support audit and regulatory requirements where applicable.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Apply statistical techniques and analytical models to derive insights.
- Conduct ad-hoc analysis to support business queries and initiatives.
Job Qualifications
- Degree in Data Science, Statistics, Computer Science, Finance, or related discipline.
- With 2 - 4 years of experience in financial services or trading environments.
- Familiarity with post-trade monitoring processes.
- Exposure to regulatory reporting requirements.
- Basic proficiency in statistical analysis, data mining, machine learning and working with large scale datasets.
- Can use different analytics tools and platforms like SAS, SQL, Python, R. etc.
- Knowledge of data governance, compliance, and quality standards.
- Good analytical and problem-solving skills with attention to detail.
- Ability to communicate insights effectively across diverse audiences.
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