Risk Control Strategy Analyst at MEXC

Job Description

Key Responsibilities

• Conduct comprehensive risk assessments by analyzing business processes and identifying potential risk points in diverse operational scenarios, including financial, compliance, and cybersecurity domains.
• Design and implement targeted risk control strategies, including response measures and mitigation plans, to minimize exposure and ensure business continuity.
• Coordinate with stakeholders to define strategy and model requirements, ensuring seamless integration of risk analysis into decision-making processes.
• Participate in key stages of risk management workflows such as offline measurement of risk indicators, monitoring verification of control effectiveness, and analysis of risk mitigation outcomes.
• Lead the development and deployment of intelligent risk control systems, leveraging data analytics to create automated monitoring solutions and predictive models.
• Collaborate on the continuous improvement of risk control frameworks by evaluating system performance, identifying gaps, and proposing enhancements.
• Ensure the accuracy and reliability of risk-related data through rigorous validation processes and data quality checks.
• Communicate risk findings and recommendations to non-technical stakeholders in a clear and actionable manner.
• Support the creation of risk dashboards and reporting tools to visualize key metrics and facilitate real-time monitoring.
• Stay updated on industry trends, regulatory changes, and emerging risks to maintain the relevance of risk control strategies.

Job Requirements

• Proven experience in risk analysis, preferably within finance, compliance, or operations management sectors.
• Strong analytical skills with the ability to interpret complex data sets and derive actionable insights.
• Expertise in Python and SQL programming, including data manipulation, automation, and database querying.
• Proficiency in machine learning libraries (e.g., scikit-learn, TensorFlow) for predictive modeling and risk forecasting.
• Knowledge of statistical analysis techniques and data visualization tools (e.g., Tableau, Power BI) to present findings effectively.
• Ability to design and implement risk control systems, including data integration, workflow automation, and real-time monitoring capabilities.
• Excellent communication skills to convey technical risk analysis results to business leaders and cross-functional teams.
• Strong problem-solving abilities and attention to detail to ensure accurate risk assessments and mitigation strategies.
• Experience with risk management frameworks (e.g., ISO 31000, COSO) and regulatory compliance standards.
• Preferred qualifications include a bachelor's or master's degree in data science, finance, or a related field, along with certifications in risk management or data analytics.
• Ability to work independently and collaboratively in fast-paced environments, with a focus on delivering timely and reliable risk insights.
• Experience with cloud-based data platforms (e.g., AWS, Azure) and big data technologies for scalable risk analysis solutions.
• Knowledge of risk modeling methodologies, including scenario analysis, sensitivity analysis, and Monte Carlo simulations.
• Strong understanding of business processes and operational workflows to align risk control measures with organizational goals.
• Ability to document risk analysis processes, models, and recommendations for audit and compliance purposes.
• Experience with risk prioritization techniques to focus on high-impact areas requiring immediate attention.
• Proficiency in using data governance tools to ensure the integrity and security of risk-related information.
• Ability to collaborate with IT teams to integrate risk control systems into existing infrastructure and workflows.
• Experience with risk reporting standards and the ability to generate compliance-ready risk assessments.