Quantitative Researcher

QuantTrax; United Arab Emirates; On-site; AED 260,000 - 380,000; Full time

Benefits offered by this job

Highly qualified team

Job summary

QuantTrax is seeking a Quantitative Researcher in the UAE to advance low-latency ML with nanosecond constraints. You will join a team of engineers and traders pushing the boundaries of what is possible and applying cutting-edge ML to real-time data.

You will reconstruct the ML research direction, build models to predict price changes and trading parameters, and explore market microstructure to uncover new features and opportunities.

Qualifications

• Strong background in CS, maths, or quantitative fields.
• At least 1 year of ML experience.
• Hands-on experience with Python and ML frameworks.
• Knowledge of time series models and ML/DL approaches.

Responsibilities

• Reconstructing the ML research direction within the department.
• Development of models to predict price changes or changes of derived trading parameters.
• Diving into market microstructure to develop new features and discover trading opportunities.

Skills

Python

C++

Linux

Data Structures

Algorithms

Probability theory

ML: CatBoost/XGBoost

DL: LSTM/CNN

Education

Bachelor's in CS/Math/Quantitative field

Tools

Keras

PyTorch

SciPy

NumPy

Numba

Job description

We are looking for a Quantitative Researcher to join our top-notch team. Your will perform research in the field of low-latency ML with a limitation of nanoseconds and engage in the development of current solutions.

QuantTrax is a technology-driven High-Frequency Trading firm, built by professionals with a profound industrial experience. We leverage cutting-edge technology to deliver exceptional results, that enables us to be ahead of competitors. Our team is comprised of Engineering and Trading experts who are constantly pushing the boundaries of what is possible.

As a Quantitative Researcher you will be responsible for enhancing our trading strategies with Machine Learning.

What you’ll get by joining us:

• Highly qualified team of professionals

What you’ll be in charge of:

• Reconstructing the ML research direction within the department
• Development of models to predict price changes or changes of derived trading parameters
• Taking a deep dive into market microstructure to develop new features of models, investigate the existing ones and discover new trading opportunities

What we expect from you:

• Strong educational background in Computer Science, Maths, or other quantitative fields
• At least 1 year of working experience in ML
• Hands-on experience with Python (Keras, PyTorch, SciPy, NumPy, Numba), C++, Linux
• Deep understanding of Data Structures and Algorithms
• Knowledge of probability theory, mathematical statistics, ML (CatBoost/ XGBoost, linear/ logistic regression), DL (recurrent and convolutional neural networks), and time series models (ARIMA, LSTM)

Nice-to-Haves:

• High rank in Kaggle/ Math and Programming Olympiads and Contests background

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