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Form of workMarket Risk Analyst
St Petersburg, Florida
We are seeking a highly motivated and detail-oriented Risk Data Analyst to join our dynamic team. The ideal candidate will play a crucial role in analyzing and interpreting data to identify potential risks, assess their impact, and recommend strategies for mitigation. The Risk Data Analyst will work closely with cross-functional teams to enhance risk management processes, ensure data accuracy, and contribute to informed decision-making.
Responsibilities:
- Data Analysis and Interpretation:
- Analyze large datasets to identify patterns, trends, and anomalies relevant to risk management.
- Interpret complex data and provide actionable insights to support risk assessment processes.
- Risk Modeling:
- Develop and maintain risk models to assess and quantify potential risks to the organization.
- Utilize statistical and predictive modeling techniques to enhance risk assessment accuracy.
- Data Validation and Accuracy:
- Ensure the integrity and accuracy of risk-related data through regular validation and cleansing processes.
- Collaborate with data governance teams to maintain data quality standards.
- Reporting and Visualization:
- Prepare and present comprehensive risk reports to key stakeholders.
- Create visualizations and dashboards to communicate risk metrics effectively.
- Collaboration with Cross-Functional Teams:
- Work closely with risk management, finance, and compliance teams to understand business requirements and align data analysis with organizational goals.
- Collaborate with IT teams to optimize data collection, storage, and retrieval processes.
- Risk Assessment and Mitigation:
- Assist in the identification and assessment of potential risks to the organization.
- Recommend strategies for risk mitigation and monitor the effectiveness of implemented measures.
- Regulatory Compliance:
- Stay abreast of industry regulations and compliance requirements related to risk management.
- Ensure that risk-related data and processes comply with relevant regulatory standards.
Qualifications:
- Bachelor"s degree in Statistics, Mathematics, Finance, Computer Science, or a related field. Master"s degree is a plus.
- Proven experience in data analysis and risk management within a relevant industry.
- Proficiency in statistical analysis tools and languages (e.g., Python, R, SQL).
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
- Familiarity with risk modeling and predictive analytics techniques.
- Knowledge of relevant regulatory frameworks and compliance standards.
Preferred Skills:
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Familiarity with machine learning techniques for risk modeling.
- Certifications in risk management or data analysis are a plus.
PI238342499
