Senior Quant Trader - HFT

Fionics; London; On-site; CAD 80,000 - 120,000; Full time

Job summary

A leading company in high-frequency trading is seeking a Quantitative Researcher to enhance their algorithmic trading strategies. Ideal candidates will have a background in mathematics and statistics, proficient in Python, and passionate about data-driven trading. The role promises a dynamic work environment where analytical prowess meets the thrill of the market.

Benefits

Competitive compensation packages

Comprehensive benefits

Company culture that values individuality

Qualifications

• Strong background in mathematics, statistics, or a related field.
• Experience with Python and its data libraries.
• Familiarity with high-frequency trading strategies.

Responsibilities

• Analyze vast amounts of data and create complex financial models.
• Engage in algorithmic trading strategies.
• Develop and implement trading algorithms.

Skills

Mathematics

Statistics

Problem Solving

Financial Modeling

Proficiency in Python

Education

Degree in Mathematics, Statistics, or related field

Tools

Python

NumPy

Pandas

Scikit-Learn

Job description

Quantitative Researcher – High Frequency Trading

Are you a self-proclaimed 'numbers person' with a love for high frequency trading, and staring at screens for hours on end? Do you enjoy the thrill of fast-paced, high-frequency trading? Then we've got the job for you!

We're looking for a Quantitative Researcher to join our team and help us generate profits through complex financial modeling and lightning-fast algorithmic trading. You'll spend your days analyzing vast amounts of data, poring over charts and graphs, and occasionally taking breaks to go outside and squint at the sun.

If you're the type of person who gets excited about 'tick data' and can recite the entire formula for calculating a 'moving average,' then we want to hear from you.

Bonus points if you know how to 'cross-validate' like a pro and have a secret love for 'ARIMA models.'

Qualifications :

• A strong background in mathematics, statistics, or a related field
• Proficiency in Python, with experience using libraries such as NumPy, Pandas, and Scikit-Learn
• Familiarity with high-frequency trading strategies and market microstructure
• The ability to stare at screens for extended periods of time without going blind
• A passion for solving complex problems and generating profits through clever trading strategies
• A willingness to occasionally leave the office and breathe fresh air (optional)

We offer competitive compensation packages, comprehensive benefits, and a company culture that values individuality