Data Analyst, Market Surveillance

As a member of the team responsible for maintaining the integrity of the market through advanced data analysis, your role will involve using data analysis techniques to identify and investigate potential market abuse. Key Responsibilities: - Developing and maintaining data pipelines for market surveillance. - Analyzing large datasets to detect unusual trading patterns. - Investigating potential market manipulation and insider trading. - Preparing reports for regulatory authorities. - Collaborating with other teams to improve surveillance capabilities. - Staying up-to-date on market regulations and best practices. Qualifications Required: - Bachelor's degree in Computer Science, Statistics, or a related field. - 2 years of experience in data analysis or a related field. - Proficiency in SQL and Python or R. - Experience with big data technologies (e.g., Hadoop, Spark). - Strong analytical and problem-solving skills. - Understanding of financial markets. In addition to the responsibilities and qualifications mentioned above, you will have the opportunity to work in a challenging and rewarding environment. The benefits package includes a competitive salary, opportunities for professional development, and the chance to contribute to maintaining the integrity of the financial markets. You will also be part of a global organization where a typical day will involve querying large databases, developing algorithms to detect anomalies, investigating suspicious activity, and collaborating with colleagues. As a member of the team responsible for maintaining the integrity of the market through advanced data analysis, your role will involve using data analysis techniques to identify and investigate potential market abuse. Key Responsibilities: - Developing and maintaining data pipelines for market surveillance. - Analyzing large datasets to detect unusual trading patterns. - Investigating potential market manipulation and insider trading. - Preparing reports for regulatory authorities. - Collaborating with other teams to improve surveillance capabilities. - Staying up-to-date on market regulations and best practices. Qualifications Required: - Bachelor's degree in Computer Science, Statistics, or a related field. - 2 years of experience in data analysis or a related field. - Proficiency in SQL and Python or R. - Experience with big data technologies (e.g., Hadoop, Spark). - Strong analytical and problem-solving skills. - Understanding of financial markets. In addition to the responsibilities and qualifications mentioned above, you will have the opportunity to work in a challenging and rewarding environment. The benefits package includes a competitive salary, opportunities for professional development, and the chance to contribute to maintaining the integrity of the financial markets. You will also be part of a global organization where a typical day will involve querying large databases, developing algorithms to detect anomalies, investigating suspicious activity, and collaborating with colleagues.