Quantitative Trader, Equities Central Risk Book, Director or Vice President

The Quantitative Trader for the Equities Central Risk Book is responsible for overseeing the Central Risk book, generating revenues, and managing book risk. This role involves developing and implementing quantitative strategies, improving risk models, and coordinating with various stakeholders to enhance trading performance.

Responsibilities

• Utilize quantitative techniques and intraday risk analytics to assist with Central Risk Book (CRB) trading and risk management.
• Utilize market risk models to manage trading book risk and tune parameters under an optimization framework.
• Monitor profit and loss (P&L) attribution and conduct backtests to adjust trading strategies.
• Conduct alpha research, quantitative analysis, and ongoing performance assessment to support the enhancement of existing P&L and trading strategies.
• Program high-performance research and execution systems in Python and KDB/Q to optimize alpha capture, reduce market impact, and enhance hedging effectiveness across trading desks.
• Partner with quantitative researchers and portfolio managers to optimize alpha capture, reduce market impact, and enhance hedging effectiveness through data-driven execution strategies.
• Liaise with control functions (Legal, Compliance, Market and Credit Risk, Audit, Finance) by providing data and analysis to support the firm’s governance infrastructure and ensure appropriate controls.
• Build a culture of responsible finance, good governance and supervision, expense discipline and ethics.
• Oversee and manage risk of trading books across stocks, ETFs, and delta-one products, ensuring compliance with firm-level capital allocation guidelines and regulatory risk frameworks.
• Review code, validate model assumptions, and ensure adherence to best practices in portfolio construction and risk management.
• Synthesize periodic strategic performance reviews for senior management.
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm’s reputation and safeguarding Citigroup, its clients, and assets.

Qualifications

• 12+ years of experience in a quantitative trading or risk management role, preferably within a bank, Hedge Fund, or Asset Manager.
• Direct Central Risk Book experience with expertise in managing stocks, ETFs, and delta-one products.
• Advanced analytical, numerical, and coding competency, with proven experience in Python and KDB/Q for high-performance systems.
• Strong understanding and practical experience with quantitative risk modeling, including Barra market risk models and Barra GEM models.
• Demonstrated ability in alpha research, quantitative analysis, P&L attribution and back-testing to refine trading strategies.
• Proficient knowledge of Bloomberg, equity trading systems, trading protocols, and closing technicalities.
• Clear and concise written and verbal communication.
• Effective interpersonal skills to develop and maintain relationships with internal (quantitative researchers, portfolio managers, sales, control functions) and external stakeholders.
• Knowledge of equity trading products and clients.
• Required licensing and registrations as applicable.

Education

• Bachelor’s degree/University degree or equivalent experience.
• Master’s degree preferred.

Advertised salary information relates to Director level.

Primary Location Full Time Salary Range: $200,000.00 - $300,000.00. In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.

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