Smartkarma
Smartkarma
Smartkarma — қаржы және жасанды интеллект салаларында жұмыс істейтін, институционалдық инвесторларға, корпоративтік стратегтерге, жеке капитал делдалдарына, актив иелеріне, активтерді басқарушыларға, инвестициялық банктерге және әл-ауқатты басқару мамандарына жасанды интеллектпен толықтырылған инвестициялық ақпарат платформасын ұсынатын финтех компаниясы. Оның платформасы жоғары сапалы деректер талдауын, инвестициялық талдаушылармен байланыстарды, зерттеу есептерін, сатушы тараптың талдауын, кірістер жөніндегі қоңырауларды және нарық жаңалықтарын бір жерге біріктіреді. Жекелендірілген мазмұнды іріктеу және бірлесіп жұмыс істеу құралдары пайдаланушыларға күрделі ақпаратты бағдарлауға әрі жылдамырақ, неғұрлым негізделген инвестициялық шешімдер қабылдауға көмектеседі.

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.

Сипаттама

  • 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

Талаптар

  • 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

Артықшылықтар

  • Remote work is available

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