Overview
Evaluate risk relating to electronic trading (ET), in particular around market impact and prevention of disorderly trading.
Responsibilities
- Oversee / supervise front-office execution controls, including the appropriateness of controls, limit thresholds, processes and procedures
 - Evolve the ET control framework, and the associated global programs
 - Coordinate and present at supervisory and governance forums/committees
 - Support the Equities and Fixed Income businesses, working closely with diverse parties including the ET business, ET COO team, Technology, Compliance and other Control Functions to enhance risk management across electronic trading
 - Perform real-time monitoring of warnings, alerts and alarms associated with certain execution controls
 - Assist in the investigation and response to electronic trading issues, internal reviews and regulatory inquiries and exams
 - Interface with various stakeholders, including electronic trading, COO, technology and control functions; provide electronic trading subject matter expertise and risk oversight; improve the execution risk control framework
 
Qualifications / Requirements
- Experience in Electronic Trading, IT or Quant experience at an investment bank or asset manager
 - Familiarity with equities and fixed income markets regulation, electronic trading concepts and risks
 - Understanding of market structure and its influence on control effectiveness
 - Regulatory/control-driven remedial program experience
 - Proven experience working with complex datasets and delivering small technical projects
 - Ability to prioritize and work effectively in a rapidly changing environment and to proactively anticipate, identify, prevent and resolve problems
 - Python, Tableau, KDB skills are not required but would be very beneficial
 - You are extremely driven with a strong desire to deliver results despite challenges and constraints
 - Reliable when working independently, with sound judgment for when to escalate issues
 - Ability to apply a technical understanding to data in order to solve complex problems
 - Quickly adaptable to changing market situations, technology and business needs