Job Description
Responsible for conducting comprehensive risk assessments across all business processes to identify potential risk points in various operational scenarios. Develop targeted risk control strategies and response measures to ensure effective risk mitigation and management. Collaborate with cross-functional teams to implement these strategies, ensuring alignment with organizational goals and regulatory requirements.
Key Responsibilities
- Lead the systematic evaluation of business processes to detect vulnerabilities and potential threats through in-depth analysis.
- Design and execute risk assessment frameworks, including scenario modeling, impact analysis, and mitigation planning.
- Monitor and verify risk control effectiveness through continuous data analysis and reporting mechanisms.
- Facilitate the integration of risk management practices into daily operations, ensuring proactive identification and resolution of issues.
- Support the development of risk control documentation, including risk registers, mitigation plans, and compliance reports.
- Collaborate with IT and data science teams to enhance risk management capabilities through technological innovation.
Job Requirements
- Proficient in risk assessment methodologies and risk management frameworks with at least 3 years of relevant experience.
- Strong analytical skills to interpret complex data sets and identify patterns that indicate potential risks.
- Excellent communication abilities to present risk findings and mitigation strategies to stakeholders at all levels.
- Ability to work independently and collaboratively in a dynamic, fast-paced environment with tight deadlines.
- Knowledge of risk modeling techniques and statistical analysis tools to support data-driven decision making.
- Experience with Python programming language and SQL databases for data manipulation and analysis.
- Proficiency in machine learning libraries such as Scikit-learn, TensorFlow, or PyTorch for predictive risk modeling.
- Understanding of business process optimization and operational risk management principles.
- Ability to develop and maintain risk management systems that integrate with existing business infrastructure.
- Strong problem-solving skills to address complex risk scenarios and develop innovative solutions.
Technical Skills
- Advanced proficiency in Python for data processing, automation, and algorithm development.
- Expertise in SQL for querying and managing relational databases.
- Experience with machine learning libraries (e.g., Pandas, NumPy, Scikit-learn) for statistical analysis and predictive modeling.
- Knowledge of risk management software and tools for scenario simulation and risk visualization.
- Ability to work with data visualization tools (e.g., Tableau, Power BI) to present risk analysis findings.
- Understanding of data governance principles and compliance requirements for risk management activities.
- Experience with cloud computing platforms (e.g., AWS, Azure) for scalable risk analysis solutions.
- Proficiency in programming for API integration to enable real-time data monitoring and analysis.
- Ability to develop custom scripts for automating risk assessment workflows and data processing tasks.
- Knowledge of big data technologies (e.g., Hadoop, Spark) for handling large-scale risk data sets.
