We at iRage are an agile, young bunch. You will get to solve some extremely challenging engineering problems and shape the future of the fast-paced Algo-Trading industry while working alongside other exceptional programmers, quants and traders.
Role Summary: Risk Manager
You will be:
· Formulating Risk Management Strategies: Spearhead the formulation and implementation of a comprehensive risk management strategy that aligns with the High-Frequency Trading (HFT) firm's 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 firm's 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 firm's 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 bachelor's 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.