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Smartkarma
Smartkarma
11 – 50 Darbinieki
FinansesFintechMākslīgais intelekts
Smartkarma ir finanšu tehnoloģiju uzņēmums, kas darbojas finanšu un mākslīgā intelekta nozarēs un nodrošina ar mākslīgo intelektu papildinātu investīciju informācijas platformu institucionālajiem investoriem, uzņēmumu stratēģiem, privātās bagātības starpniekiem, aktīvu īpašniekiem, aktīvu pārvaldītājiem, investīciju bankām un labklājības pārvaldītājiem. Platforma vienuviet apvieno augstvērtīgu datu analītiku, saziņu ar investīciju analītiķiem, pētījumu pārskatus, pārdošanas puses analīzi, peļņas pārskatu konferences zvanus un tirgus jaunumus. Personalizētas satura atlases un sadarbības iespējas palīdz lietotājiem orientēties sarežģītā informācijā un atbalsta ātrāku, pamatotāku investīciju lēmumu pieņemšanu.
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Vakances uzņēmumā

Senior Independent Quantitative Analyst — Thailand Remote

Develop proprietary signals, datasets, models, and investment research for institutional investors. Smartkarma connects independent research analysts with asset managers worldwide.

SGSingapūraTHTaizemeAttālinātiPilna slodzeVecākais speciālistsVadošais speciālistsNepieciešamā Valoda: angļuDatu analītiķis

Apraksts

  • Generate actionable trade and investment ideas using validated signals and market judgment
  • Research factors, risk premia, and alpha opportunities
  • Build event-driven and catalyst frameworks for earnings, guidance, corporate actions, index changes, and macroeconomic releases
  • Assess cross-asset relationships and market regimes, including risk appetite, inflation, interest-rate sensitivity, liquidity, positioning, and flows
  • Build and maintain proprietary datasets, models, and production pipelines
  • Publish differentiated research for professional investors
  • Present and defend research conclusions in conversations with institutional clients
  • Provide high-touch support to selected institutional clients

Prasības

  • Professional experience as a systematic trader, quantitative researcher, or quantitative analyst
  • Expertise developing systematic strategies across equities, equity derivatives, and multi-asset markets, including listed and OTC index and single-name options and futures
  • Strong research discipline covering signal development, feature engineering, robust multi-horizon backtesting, realistic transaction costs, and rigorous validation
  • Ability to integrate market intuition with statistical learning methods
  • Experience building and maintaining proprietary datasets and models, including data collection, cleaning, normalization, mapping, signal construction, and production pipelines
  • Excellent written and verbal communication skills, with the ability to explain and defend research views in published work and institutional client discussions
  • At least eight years of research, trading, or investment experience serving institutional clients
  • Evidence of a quantitative track record and proprietary work such as datasets, models, tooling, or strategy research
  • Ability to produce structured, concise, defensible insights for professional investors

Priekšrocības

  • Remote work is available

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