Job Description

We are looking for a highly skilled and innovative Algorithmic Strategy Developer to join our team. The ideal candidate will be responsible for designing, implementing, and optimizing algorithmic trading strategies to capitalize on market opportunities. This role offers an exciting opportunity to work at the intersection of finance and technology, leveraging cutting-edge algorithms to drive trading performance.

Key Responsibilities:

• Strategy Development: Design and develop algorithmic trading strategies using quantitative analysis, statistical modeling, and machine learning techniques.
• Backtesting: Conduct rigorous backtesting of trading strategies using historical data to assess performance and optimize parameters.
• Model Building: Build predictive models and algorithms to identify market trends, patterns, and anomalies that can be exploited for trading opportunities.
• Risk Management: Implement risk management measures and controls to mitigate potential losses and ensure trading strategies adhere to risk limits.
• Execution Optimization: Optimize trade execution algorithms and infrastructure to minimize latency and maximize efficiency in executing trades.
• Monitoring and Optimization: Monitor live trading performance, analyze results, and continuously optimize strategies to adapt to changing market conditions.
• Research and Innovation: Stay abreast of the latest developments in algorithmic trading, quantitative finance, and machine learning, and apply new techniques and technologies to improve trading strategies.
• Collaboration: Collaborate with traders, developers, and quantitative analysts to implement and integrate algorithmic trading solutions into trading platforms.

Skill & Experience:

• Educational Background: Bachelor’s or Master’s degree in Computer Science, Mathematics, Finance, or a related field; additional qualifications such as CFA (Chartered Financial Analyst) or FRM (Financial Risk Manager) are advantageous.
• Quantitative Skills: Strong quantitative skills, with experience in statistical analysis, time series analysis, and machine learning.
• Programming Skills: Proficiency in programming languages such as Python, R, or MATLAB, and experience with data analysis libraries and frameworks.
• Financial Markets Knowledge: Deep understanding of financial markets, trading instruments, and market microstructure.
• Algorithmic Trading Experience: Proven experience in developing and implementing algorithmic trading strategies, preferably in a quantitative trading or hedge fund environment.
• Risk Management: Knowledge of risk management principles and techniques, with the ability to implement robust risk controls in trading strategies.
• Problem-Solving Abilities: Strong problem-solving skills and the ability to apply analytical thinking to complex trading problems.
• Team Collaboration: Ability to work collaboratively in a team environment, communicating effectively with team members and stakeholders.
• Adaptability: Ability to adapt to changing market conditions and technologies, and continuously learn and innovate in the field of algorithmic trading.