Quantitative Systematic Trader: From Data to Live Signals

Quant Blueprint LLC; Sydney Township (ND); Hybrid; USD 80,000 - 120,000; Full time

Benefits offered by this job

Market-leading education program

Private healthcare

Fully stocked kitchen with meals

Visa sponsorship and relocation package

Job summary

Quant Blueprint LLC is seeking quant-minded strategists in Sydney Township, North Dakota, to develop and analyze quantitative trading strategies. The role requires a strong analytical background and proficiency in Python, with an emphasis on collaboration across trading and research disciplines.

Successful candidates will have an Honours or Master’s degree in a quantitative field and a keen interest in strategic activities. Benefits include competitive compensation, a market-leading education program, and regular social events.

Qualifications

• Honours or Master’s degree in Mathematics, Physics, Statistics, or related fields.
• Solid analytical problem-solving and logical reasoning skills.
• Experience writing code to process and analyze large data sets.

Responsibilities

• Investigate ideas by immersing in market data using mathematical tools.
• Run signals through the backtesting environment and analyze performance.
• Collaborate with technologists to put profitable signals into production.

Skills

Analytical problem-solving skills

Python programming

Communication skills

C++ experience

Interest in strategic games

Education

Honours or Master’s degree in a quantitative field

Job description

Quant Blueprint LLC is seeking quant-minded strategists in Sydney Township, North Dakota, to develop and analyze quantitative trading strategies. The role requires a strong analytical background and proficiency in Python, with an emphasis on collaboration across trading and research disciplines.

Successful candidates will have an Honours or Master’s degree in a quantitative field and a keen interest in strategic activities. Benefits include competitive compensation, a market-leading education program, and regular social events.