Offer summary

Qualifications:

Bachelor's degree in finance, Economics, Computer Science, Data Science, or related field., At least 2 years of experience in quantitative finance or trading environments., Proficiency in programming languages like Python, R, or MATLAB., Strong statistical, analytical, and mathematical skills..

Key responsibilities:

Collect, clean, and analyze large market and financial news data.

Develop and refine machine learning models for stock prediction and market trends.

Collaborate with trading and software teams to implement strategies.

Design back-testing procedures and prepare performance reports.

Job description

Responsibilities

Collect, clean, and analyze large amounts of market data and financial news to identify patterns that can inform trading decisions.
Develop and implement machine learning models that predict stock movements and market trends, continuously refining them to improve accuracy and profitability.
Work closely with the trading team to translate model outputs into actionable trading strategies.
Design and execute back-testing procedures to validate the effectiveness of trading strategies under various market conditions.
Prepare reports on model performance, market analysis, and trading outcomes, providing insights and recommendations to senior management.
Collaborate with software engineers and financial analysts to enhance data collection and model implementation techniques.
Stay updated with the latest developments in quantitative finance, machine learning applications in trading, and financial markets to continually refine and evolve trading strategies.

Qualifications

Bachelor’s degree in finance, Economics, Computer Science, Data Science, Statistics, or a related field.
2+ years of experience in quantitative finance, preferably in a trading environment, with a proven track record of developing predictive models.
Technical Skills:
Proficient in programming languages such as Python, R, or MATLAB.
Experience with machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, Keras).
Strong statistical analysis and mathematical skills.
Solid understanding of financial markets, instruments, and algorithmic trading systems.
Exceptional analytical and quantitative problem-solving skills.
Excellent verbal and written communication skills, with the ability to explain complex models and strategies to non-experts.

Desirable Skills: