SAAT Capitals is a leading U.S.-based quantitative trading firm that specializes in algorithmic and data-driven strategies across U.S. financial markets. By leveraging advanced technology, statistical modeling, and cutting-edge quantitative research, the company identifies and executes high-precision trading opportunities. Headquartered at Mokter Bari Road, Tongi, Gazipur, SAAT Capitals fosters a collaborative and dynamic work environment where professionals can thrive while contributing to sophisticated trading operations.

The firm is currently seeking a full-time Stock Trader (U.S. Market) to join its team in Gazipur (Tongi). The ideal candidate will be responsible for executing trades, analyzing financial market data, and developing systematic trading strategies. This role requires close collaboration with traders and analysts to optimize performance and manage risk in a fast-paced, high-stakes environment. Candidates must possess a strong quantitative academic background, exceptional analytical and problem-solving skills, and a genuine passion for financial markets, including ETF trading, equity derivatives, and systematic trading. The position is primarily office-based, with remote work options available as part of the company’s flexible benefits package. Salary is negotiable, reflecting the candidate’s experience and expertise.

• Bachelor of Science (BSc) in Mathematics, Statistics, Physics, Computer Science, Applied Mathematics, Applied Statistics, Engineering, or a related quantitative field.

• Strong academic background in quantitative disciplines with a proven ability to apply analytical concepts.

• Demonstrated interest in financial markets, including ETF trading, equity derivatives, and systematic trading strategies.

• In-depth knowledge of stock market operations, share trading mechanisms, and market dynamics.

• Excellent problem-solving skills with the ability to make data-driven decisions under pressure.

• Strong written and verbal communication skills, with a collaborative mindset to work effectively in a team.

• Prior trading experience is a plus but not mandatory.

• No specific age limit; candidates of all ages are encouraged to apply.

SAAT Capitals is a leading U.S.-based quantitative trading firm that specializes in algorithmic and data-driven strategies across U.S. financial markets. By leveraging advanced technology, statistical modeling, and cutting-edge quantitative research, the company identifies and executes high-precision trading opportunities. Headquartered at Mokter Bari Road, Tongi, Gazipur, SAAT Capitals fosters a collaborative and dynamic work environment where professionals can thrive while contributing to sophisticated trading operations.

The firm is currently seeking a full-time Stock Trader (U.S. Market) to join its team in Gazipur (Tongi). The ideal candidate will be responsible for executing trades, analyzing financial market data, and developing systematic trading strategies. This role requires close collaboration with traders and analysts to optimize performance and manage risk in a fast-paced, high-stakes environment. Candidates must possess a strong quantitative academic background, exceptional analytical and problem-solving skills, and a genuine passion for financial markets, including ETF trading, equity derivatives, and systematic trading. The position is primarily office-based, with remote work options available as part of the company’s flexible benefits package. Salary is negotiable, reflecting the candidate’s experience and expertise.

• Bachelor of Science (BSc) in Mathematics, Statistics, Physics, Computer Science, Applied Mathematics, Applied Statistics, Engineering, or a related quantitative field.

• Strong academic background in quantitative disciplines with a proven ability to apply analytical concepts.

• Demonstrated interest in financial markets, including ETF trading, equity derivatives, and systematic trading strategies.

• In-depth knowledge of stock market operations, share trading mechanisms, and market dynamics.

• Excellent problem-solving skills with the ability to make data-driven decisions under pressure.

• Strong written and verbal communication skills, with a collaborative mindset to work effectively in a team.

• Prior trading experience is a plus but not mandatory.

• No specific age limit; candidates of all ages are encouraged to apply.