Systematic Trader

Rapid Global Growth; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

An established industry player is seeking a skilled Quantitative Analyst to lead high-frequency trading strategies in a dynamic market. This role offers the chance to work at the forefront of AI and systematic trading, utilizing advanced technical analysis and algorithm optimization to maximize returns. With a focus on risk management and scalability, you will engage in a collaborative environment, ensuring your strategies are both effective and innovative. This is a unique opportunity for experienced traders to make a significant impact in a rapidly evolving field, all while enjoying a competitive, tax-free salary and performance bonuses.

Qualifications

• 5+ years as a systematic trader focusing on commodities or equities.
• Proficiency in technical tools and chart pattern recognition.

Responsibilities

• Implement trades based on signals, ensuring timely execution.
• Use technical analysis to validate signals and optimize trades.
• Conduct performance evaluations to refine strategies and profitability.

Skills

Trading Expertise

Technical Analysis

Algorithmic Trading

Portfolio Management

Programming Skills (Python, R)

Risk Management

Collaboration with AI/ML

Education

Master’s in Quantitative Finance

PhD in Mathematics

Job description

In this role, reporting directly to the CEO and leading a Quantitative Analyst, you will be responsible for executing and optimizing high-frequency, event-driven trading strategies across commodities and equities. You will work with pre-generated signals from our proprietary Large Language Model (LLM) and ensure that trades are technically sound, aligned with market trends, and optimized for maximum returns. Your focus will be on applying technical analysis, managing risk, and scaling strategies to handle large portfolios. This is a unique opportunity to work at the intersection of cutting-edge AI and systematic trading at RGG.

Compensation: Competitive salary range of AED 50,000 - AED 65,000/month based on experience and qualifications, with opportunity for up to 10% performance bonus, all tax-free. This transparent range represents our full compensation spectrum, with specific offers determined by relevant experience and demonstrated expertise.

Responsibilities:

1. Trade Execution: Implement trades based on pre-generated signals, ensuring timely and efficient execution.
2. Technical Analysis: Use technical indicators (e.g., moving averages, RSI, MACD) and trend analysis to validate signals and optimize entry/exit points.
3. Algorithm Optimization: Fine-tune trading algorithms to minimize slippage, reduce latency, and improve overall performance.
4. Risk Management: Apply robust risk controls (e.g., stop-losses, position sizing) to protect the portfolio from adverse market movements.
5. Performance Analysis: Conduct backtesting and real-time performance evaluations to refine strategies and enhance profitability.
6. Collaboration: Work closely with the LLM team to integrate signals and provide feedback for continuous improvement.
7. Scalability: Ensure strategies are scalable for large portfolios, managing liquidity and execution challenges effectively.

Required Skills (MUST HAVES):

1. Trading Expertise: 5+ years of experience as a systematic trader, with a focus on commodities or equities.
2. Technical Analysis: Advanced proficiency in technical tools and chart pattern recognition.
3. Algorithmic Trading: Proven success in optimizing algorithms for high-frequency, low-latency environments.
4. Portfolio Management: Experience managing (10m+) portfolios, with a focus on scaling and risk control.
5. Programming Skills: Proficiency in Python, R, or similar for backtesting and algorithm development.
6. Risk Management: Expertise in real-time risk monitoring and mitigation.
7. Collaboration: Ability to work with AI/ML systems and provide actionable feedback.

Beneficial Skills (NICE TO HAVES):

1. Market Focus: Direct experience trading commodities (e.g., energy, agriculture) and equities (e.g., large-cap stocks).
2. Event-Driven Trading: Familiarity with trading around market-moving events.
3. Education: Master’s or PhD in quantitative finance, mathematics, or a related field (preferred but not required).