Qualifications

• 5-7 years in quantitative research or portfolio analytics, especially in equities or equity derivatives.
• Experience from sell-side strategists enhancing your analytical toolkit is a plus.
• Proficient in equities factor models and backtesting methods, with a grasp on equity derivatives pricing.
• Strong programming skills in Python and SQL for data manipulation and analysis.
• Familiarity with large language models (LLMs) and AI tools for real-world analytical problems.
• Fluent in English with notable communication skills, both written and verbal.
• Demonstrated ability to take ownership and produce results with minimal guidance.

Responsibilities

• Design and build quantitative tools for better portfolio analysis of equities and equity derivatives.
• Conduct backtests and develop signal frameworks tailored for cash equities and derivatives.
• Create AI-driven decision-making tools for senior leadership in investment.
• Automate risk monitoring across various metrics such as exposure and concentration.
• Provide analytical support for strategic decisions made by senior leadership.
• Manage and implement recurring operational initiatives in capital and fund management.

Benefits

• Access to advanced analytics and AI tools to enhance your work.
• Collaborative environment working alongside senior investment leaders.
• Opportunities for professional growth through direct exposure to high-stakes investment decisions.
• Involvement in enterprise-level initiatives enhancing holistic risk assessment.
• Supportive culture fostering self-starter attitudes and adaptability in team members.