Smartkarma
Smartkarma
Smartkarma moliya va sun’iy intellekt sohalarida faoliyat yurituvchi fintech kompaniya bo‘lib, institutsional investorlar, korporativ strateglar, xususiy kapital vositachilari, aktiv egalari, aktivlarni boshqaruvchilar, investitsiya banklari va boylikni boshqarish mutaxassislari uchun sun’iy intellekt bilan kuchaytirilgan investitsiya tahlili platformasini taqdim etadi. Uning platformasi yuqori sifatli ma’lumotlar tahlili, investitsiya tahlilchilari bilan aloqalar, tadqiqot hisobotlari, sotuvchi tomon tahlili, daromadlar bo‘yicha konferensiya qo‘ng‘iroqlari va bozor yangiliklarini bir joyda jamlaydi. Shaxsiylashtirilgan saralash va hamkorlik vositalari foydalanuvchilarga murakkab ma’lumotlarni tushunishga hamda tezroq, yanada asoslangan investitsiya qarorlarini qabul qilishga yordam beradi.

Independent Quantitative Analyst — Remote

Develop systematic trading research, proprietary datasets, and actionable investment insights for institutional asset managers. Work through Smartkarma’s cloud-based platform to publish research and engage with professional investors.

Tavsif

  • Develop actionable trade and investment ideas using 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
  • Evaluate cross-asset relationships and market regimes, including risk appetite, inflation, interest-rate sensitivity, liquidity, positioning, and flows
  • Publish original research and engage in discussions with institutional clients
  • Deliver high-touch support to selected institutional clients
  • Use Smartkarma’s cloud platform to curate and monetize independent investment research

Talablar

  • Experience as a systematic trader or quantitative researcher/analyst
  • Expertise in systematic strategies across equities, equity derivatives, and multi-asset products, including listed and OTC options and futures
  • Strong research discipline covering signal research, feature engineering, robust multi-horizon backtesting, realistic trading frictions, and clear validation
  • Ability to integrate market judgment with statistical learning
  • Experience building and maintaining proprietary datasets and models, including data collection, cleaning, normalization, mapping, signal construction, and production pipelines
  • Strong written and verbal communication skills
  • At least 8 years of research, trading, or investment experience serving institutional clients
  • Demonstrated quantitative results and proprietary work involving datasets, models, tools, and strategy research
  • Ability to produce structured, concise, and defensible insights for professional investors

Imtiyozlar

  • Remote work is available

O‘xshash ish o‘rinlari

LittleLives

Customer Success Manager, LittleLives (Hybrid, Malaysia)

LittleLives
11 – 50 Xodimlar
B2BSaaSTa’lim

Manage onboarding, training, product adoption, renewals, and account growth for LittleLives’ school-management SaaS customers across Southeast Asia. The role focuses mainly on Singapore accounts and includes occasional travel there for onsite sessions and meetings.

Ochish