EComms Surveillance - Contract
Working with the Compliance Surveillance team, the eComms Surveillance Analyst will be responsible for significantly contributing to the design of requirements, implementing, testing and monitoring a comprehensive, enterprise-wide communication surveillance
- Data Integrity and Monitoring: Responsible for the timely analysis of communication-based alerts leading to the detection and prevention of market or firm damaging misconduct. Participate in the design of an automated data reconciliation to ensure full scope coverage.
- Communication Surveillance Models: Significantly contribute to design and development of conventional and Machine Learning models to enhance communication surveillance areas of concern, including but not limited to various forms of conduct risk, compliance policies, and market manipulation, such as:
- Inside Information handling, Wall Crossing breaches & Conflicts of Interest;
- Market manipulation schemes, such as: collusion, front-running, pre-arranged trading, layering, spoofing, ramping, etc.;
- Order Handling, Best Execution & Customer Complaints;
- Any activity that could lead to regulatory infractions, reputational damage or the disruption of orderly markets
- Surveillance Solutions: Participate in the design and implementation of a set of surveillance-oriented communication models, targeted to increase effectiveness and sophistication of the Surveillance Program, while reducing time to market for the new models and analytical tools.
- Case Management Facility: Participate in establishing a facility for case management, data reporting and a holistic approach to risk mitigation. Develop a framework for the case management reviews, workflow, reporting and management.
- Professional experience in the Financial Services industry.
- Proven experience working in a rapidly changing and complex work environment.
- Strong communication skills, both written and verbal.
- Demonstrated high level of initiative, analytical skills, and impeccable integrity.
Education: Bachelor's Degree or advanced degree in a related field such as statistics, computer science, or finance.