Senior Quant Trader - HFT

Fionics; London; On-site; GBP 60,000 - 90,000; Full time

Job summary

A leading financial trading firm is seeking a Quantitative Researcher to enhance their high-frequency trading team. This role involves analyzing large datasets, developing trading algorithms, and utilizing complex mathematical models while fostering a dynamic and innovative work environment. Competitive compensation and benefits await the right candidate who thrives on data-driven decision-making.

Benefits

Competitive compensation packages

Comprehensive benefits

Supportive company culture

Qualifications

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

Responsibilities

• Analyze vast amounts of data to generate trading insights.
• Develop and implement complex financial models.
• Work on algorithmic trading strategies.

Skills

Mathematics

Statistics

Python

Data Analysis

Complex Problem Solving

Education

Degree in Mathematics, Statistics, or related field

Tools

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

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