Q-Capital Ltd
Almaty / Office, Remote possible after 3 months of probation period
Full-time
ML
Remote
Quantitative Researcher at Q-Capital Ltd
This vacancy has expired
The posting is more than 90 days old or has passed its employer-provided deadline and no longer accepts applications.
Applications: 01
Quantitative Researcher
Q-Capital Ltd
1.000.000 to 1.330.000 KZT NET per month
Almaty / Office, Remote possible after 3 months of probation period
Investment firm specializing in asset management and securities trading
Responsibilities:
• Develop and implement models for financial market analysis and forecasting
• Conduct research based on large datasets including time series analysis and risk assessment
• Create and optimize financial strategies using ML/DL and algorithmic systems
• Develop and test trading algorithms
• Apply LLM models like RAGs for analyzing unstructured data
• Optimize and automate workflows using Python and Pandas
Requirements:
• Python proficiency with Pandas/sklearn stack
• Experience in machine learning methods
• Strong analytical skills
• Ability to efficiently process large datasets and develop predictive models based on data
• Knowledge of financial instruments, derivatives, and market data
Contacts:
📱 @changing_time
Q-Capital Ltd
1.000.000 to 1.330.000 KZT NET per month
Almaty / Office, Remote possible after 3 months of probation period
Investment firm specializing in asset management and securities trading
Responsibilities:
• Develop and implement models for financial market analysis and forecasting
• Conduct research based on large datasets including time series analysis and risk assessment
• Create and optimize financial strategies using ML/DL and algorithmic systems
• Develop and test trading algorithms
• Apply LLM models like RAGs for analyzing unstructured data
• Optimize and automate workflows using Python and Pandas
Requirements:
• Python proficiency with Pandas/sklearn stack
• Experience in machine learning methods
• Strong analytical skills
• Ability to efficiently process large datasets and develop predictive models based on data
• Knowledge of financial instruments, derivatives, and market data
Contacts:
📱 @changing_time
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