This is a fully remote position, open to applicants in Hong Kong, +1 more country.

📋 Description

• Curate and monetize independent investment research on Smartkarma’s cloud-based platform.

• Research systematic strategies across equities, equity derivatives, and multi-asset markets.

• Develop and maintain proprietary datasets, models, tools, signals, and production pipelines.

• Generate actionable trade and investment ideas based on statistically validated signals and market intuition.

• Conduct research on factors, risk premia, and alpha.

• Create event-driven and catalyst frameworks that encompass earnings, guidance, corporate actions, index changes, and macroeconomic indicators.

• Analyze inter-asset relationships and market regimes, including risk-on/off dynamics, inflation, interest rate sensitivity, liquidity, positioning, and capital flows.

• Publish unique insights and engage in discussions with institutional clients.

• Deliver high-touch service to select institutional clients.

⛳️ Requirements

• Previous or current experience as a systematic trader or quantitative researcher/analyst.

• Proficiency in systematic strategies across equities, equity derivatives, and multi-asset products, which includes listed and OTC options and futures.

• Strong capabilities in signal research, feature engineering, and robust backtesting across various horizons, including realistic frictions and clear validation.

• Ability to merge market intuition with statistical learning.

• Experience in creating and maintaining distinctive proprietary datasets and models.

• Familiarity with data collection, cleaning, normalization, mapping, signal construction, and production pipelines.

• Excellent writing and communication skills.

• Extensive research, trading, or investment experience with institutional clients (8+ years).

• Proven quantitative track record and evidence of proprietary work, including datasets, models, tools, and strategy research.

• Capacity to produce differentiated insights for professional investors that are well-structured, concise, and defensible.