Teamware Solutions is seeking a skilled Risk Regulatory Compliance Analytics Specialist to join our team. This role is crucial for leveraging data and analytical techniques to ensure compliance with financial regulations and effectively manage risk. You will be responsible for developing, implementing, and maintaining analytical solutions that support our risk management and regulatory reporting requirements.
Key Responsibilities :
- Regulatory Analysis : Understand and interpret complex financial regulations and compliance requirements relevant to the industry.
- Data Sourcing & Preparation : Identify, extract, and prepare relevant data from various sources for risk and compliance analysis. This includes ensuring data quality, consistency, and completeness.
- Analytical Model Development : Design, develop, and implement analytical models, dashboards, and reports to monitor compliance, assess risk exposures, and identify potential regulatory breaches.
- Reporting & Insights : Generate accurate and timely reports for internal stakeholders and regulatory bodies, providing actionable insights into risk profiles and compliance status.
- Methodology Implementation : Apply statistical methods, data mining techniques, and other analytical approaches to quantify risks and evaluate compliance effectiveness.
- Troubleshooting & Validation : Validate the accuracy and integrity of analytical models and data outputs. Troubleshoot any discrepancies or issues encountered in data or reporting.
- System Enhancement : Collaborate with IT and data engineering teams to enhance data infrastructure and analytical tools to better support risk and compliance functions.
- Documentation : Maintain comprehensive documentation for analytical models, data sources, methodologies, and reporting processes.
- Continuous Improvement : Stay informed about evolving regulatory landscapes and industry best practices in risk and compliance analytics, suggesting and implementing improvements.
Required Skills :
Strong understanding of risk management concepts and financial regulatory compliance.Proficiency in data analysis and statistical modeling techniques.Experience with analytical tools and languages (e.g., SQL, Python, R, SAS).Familiarity with data visualization tools for creating reports and dashboards.Ability to interpret and apply regulatory guidelines to data and analytics.Strong analytical and problem-solving skills with attention to detail.Excellent communication skills for presenting complex analytical findings to non-technical stakeholders.Ability to work with large datasets and complex data structures.Skills Required
Sql, Python