Machine Learning Quantitative Researcher

QuanTech Partners; Dubai; On-site; AED 120,000 - 180,000; Full time

Job summary

An innovative firm is seeking a talented individual to join their Market Making team, focusing on developing cutting-edge algorithmic trading strategies. You will harness machine learning to analyze market behavior, uncover patterns, and create innovative trading algorithms. This role requires a strong mathematical foundation and proficiency in programming, particularly in Python, MATLAB, or R. If you're passionate about pushing the boundaries of algorithmic trading and want to make a significant impact in a fast-paced environment, this is the perfect opportunity for you.

Qualifications

• PhD in relevant fields with strong mathematical foundation required.
• 3+ years of research experience in trading and data analysis.

Responsibilities

• Design and deploy mid/high-frequency trading algorithms.
• Analyze market data for trading opportunities and insights.

Skills

Machine Learning

Data Mining

Statistical Techniques

Optimization

Programming in Python

Backtesting

Simulation

Neural Networks

Education

PhD in Machine Learning

PhD in Computer Science

PhD in Engineering

PhD in Mathematics

Tools

MATLAB

R

Job description

As a key member of our dynamic Market Making team, you'll be at the forefront of developing and deploying cutting-edge algorithmic trading strategies. Harnessing the power of machine learning, you'll analyze market behavior to uncover hidden patterns and create innovative trading algorithms.

Your responsibilities will include:

• Designing, implementing, and deploying mid and high-frequency trading algorithms.
• Exploring market data and microstructure for patterns to identify potential trading opportunities.
• Developing tools to analyze vast datasets and extract valuable insights.
• Contributing to our libraries of analytical computations to enhance market data analysis and trading strategies.
• Developing, augmenting, and calibrating exchange simulators for realistic testing.

To succeed in this role, you'll need:

• A PhD in Machine Learning, Computer Science, Engineering, or Mathematics.
• A strong mathematical foundation in optimization, combinatorics, and/or game theory.
• At least 3 years of research experience in high or mid-frequency trading.
• Proficiency in backtesting, simulation, and statistical techniques.
• Solid data mining and analysis skills, including experience working with large datasets.
• Experience using neural networks for data analysis or familiarity with large language models or stable diffusion for financial data.
• A deep understanding of signal generation and statistical models.
• Strong programming skills in Python, MATLAB, or R.

If you're passionate about pushing the boundaries of algorithmic trading and have the skills to make a real impact, we want to hear from you.