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Smartkarma is a fintech company in the finance and artificial intelligence sectors, providing an AI-augmented investment intelligence platform for institutional investors, corporate strategists, private wealth intermediaries, asset owners, asset managers, investment banks, and wealth managers. Its platform brings together premium data analytics, investment analyst connections, research reports, sell-side analysis, earnings calls, and market news in one place. Personalized curation and collaboration tools help users navigate complex information and support faster, more informed investment decisions.
Senior Quantitative Analyst, Systematic Strategies (Remote - Thailand)
Develop systematic strategies, proprietary datasets, and validated signals for actionable institutional investment research. Publish and defend differentiated insights through Smartkarma’s cloud platform.
Description
- Publish actionable trade and investment ideas grounded in statistically validated signals and market judgment
- Research factors, risk premia, and alpha opportunities
- Build event-driven and catalyst frameworks spanning earnings, guidance, corporate actions, index changes, and macroeconomic releases
- Assess cross-asset relationships and market regimes, including risk appetite, inflation, rate sensitivity, liquidity, positioning, and flows
- Build and maintain proprietary datasets, models, and production pipelines
- Deliver high-touch support to selected institutional clients
- Write and defend research perspectives in published insights and conversations with institutional clients
Requirements
- Background as a systematic trader or quantitative researcher/analyst
- Expertise developing systematic strategies across equities, equity derivatives, and multi-asset markets, including listed and OTC options and futures
- Strong research discipline covering signal development, feature engineering, robust multi-horizon backtesting, realistic trading frictions, and clear validation
- Ability to pair market judgment with statistical learning
- Experience developing and maintaining differentiated proprietary datasets and models
- Experience with data collection, cleaning, normalization, mapping, signal construction, and production pipelines
- Strong written and verbal communication skills
- At least eight years of research, trading, or investment experience serving institutional clients
- Quantitative track record demonstrating proprietary work across datasets, models, tooling, and strategy research
- Ability to produce structured, concise, and defensible differentiated insights for professional investors
Benefits
- Remote work is available
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