Formulating Risk Management Strategies: Spearhead the formulation and implementation of a comprehensive risk management strategy that aligns with the High-Frequency Trading (HFT) firms goals and risk tolerance in algorithmic trading.
Real-Time Risk Oversight: Develop and improve real-time risk monitoring systems to swiftly detect, evaluate, and address market, credit, liquidity, and operational risks. Manage the real-time risk oversight operations - ensure trading teams are trading within limits allocated to them, and also dynamically adjusting limits as per changing market scenarios.
Integration of Algorithmic Risk Controls: Collaborate with technology and trading teams to integrate robust risk controls into the firms proprietary trading algorithms and platforms.
Supervising Market Surveillance: Direct market surveillance activities to ensure adherence to regulatory requirements and ethical trading practices, fostering market integrity and equitable trading conduct.
Ensuring Regulatory Compliance: Stay abreast of relevant industry regulations and guarantee the firms compliance with all applicable laws and standards. Coordinate with relevant stake holders for risk related audits.
Conducting Stress Testing, Reviews and Scenario Analysis: Perform stress tests and scenario analysis to evaluate the resilience of trading strategies; and the effectiveness of risk management processes / controls.
Delivering Comprehensive Risk Reports: Furnish clear and succinct risk reports to senior management and the board of directors, highlighting key risk exposures and recommending necessary actions.
Establishing Crisis Management Protocols: Develop and uphold crisis management protocols to address potential market disruptions and unforeseen events.
Demonstrating Leadership and Effective Communication: Exhibit exceptional leadership and communication skills, with the ability to collaborate and influence across teams and stakeholders.
Stakeholder Management Across Locations and Time Shifts: Demonstrate proficiency in working with stakeholders across different offices and time shifts, influencing them on risk and governance mechanisms.
Required Skillset :
- Educational Background: A bachelors or advanced degree in finance, risk management, quantitative finance, or a related field.
- Professional Certifications: Relevant certifications such as FRM (Financial Risk Manager), CFA (Chartered Financial Analyst), or other industry-specific certifications would be advantageous.
- Industry Experience: Proven experience of 3-4 years in a similar role within the high-frequency trading or algorithmic trading space, with a track record of successful risk management.
- Regulatory Knowledge: Comprehensive understanding of financial market regulations and the ability to stay updated on evolving industry compliance requirements.
- Analytical Skills: Strong quantitative and analytical skills, including proficiency in statistical analysis and modeling.
- Technology Proficiency: Familiarity with trading systems, risk management software, and technology used in algorithmic trading environments.
- Communication Skills: Excellent written and verbal communication skills to convey complex risk-related information to different stakeholders.
- Adaptability: Ability to adapt to rapidly changing market conditions and evolving regulatory landscapes in the high-frequency trading industry.
