October 20
• Analyzing large datasets to identify trends and assessing risks • Monitoring market fluctuations and developing risk management strategies • Maintaining monitoring dashboards and reporting pipelines • Providing guidance and support to risk-related projects • Collaborating with internal teams to deliver data solutions
• Advanced training in Physics, Computer Science, Mathematics or another highly quantitative field • Prior working experience in risk management in finance and trading • Prior working experience with data clearing, analysis and visualization • Proficient in risk and quantitative analysis, including mathematical and statistical modeling • Strong experience in statistical analysis methods • Strong hands on experience in SQL and NoSQL; experience in Python for data processing and analysis is an added advantage • Experience working with time series databases is an added advantage
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