Quantitative Researcher

EMCD; United States; Remote; USD 100,000 - 160,000; Full time

Job summary

A leading company in the field of quantitative finance is seeking a highly skilled Quantitative Researcher to drive innovation through data analysis and machine learning. This role offers the opportunity to work remotely with competitive pay and growth potential on cutting-edge projects, ideal for professionals passionate about trading and financial markets.

Benefits

Fully remote work from anywhere

Flexible work schedule

Competitive salary and performance-based bonuses

100% paid sick leave and vacation

In-depth industry training

Professional growth opportunities

Inclusive work environment

Qualifications

• At least 2 years experience as Quantitative Researcher in trading or investment funds.
• Deep knowledge in machine learning techniques and data analysis.
• Understanding of financial markets and basic trading principles.

Responsibilities

• Develop and implement quantitative trading models and algorithms.
• Conduct market data research to identify patterns and trading signals.
• Collaborate with team to optimize high-frequency trading strategies.

Skills

Machine Learning

Data Analysis

Analytical Skills

Mathematical Thinking

Statistical Thinking

Education

Higher education in technical or economic degrees

Tools

Python

PyTorch

TensorFlow

Scikit-learn

XGBoost

Pandas

NumPy

Job description

We are seeking a highly skilled Quantitative Researcher to develop and implement quantitative models and trading algorithms using advanced machine learning techniques and data analysis. The successful candidate will conduct research on large volumes of market data to identify persistent patterns and trading signals, collaborating with traders, analysts, and engineers to create and optimize high-frequency (HFT) and medium-frequency trading strategies.

Key Responsibilities:

• Develop and implement quantitative models and trading algorithms using advanced machine learning techniques and data analysis.
• Conduct research on large volumes of market data to identify persistent patterns and trading signals.
• Collaborate with traders, analysts, and engineers to create and optimize high-frequency (HFT) and medium-frequency trading strategies.
• Analyze model performance, assess risks, and conduct backtesting and forward testing of strategies.
• Contribute to the development of infrastructure and tools for efficient model validation and deployment.

Requirements:

• Deep knowledge in machine learning and data analysis, including neural networks, gradient boosting, clustering, deep learning, reinforcement learning, etc.
• Proficiency in Python programming and experience with ML libraries such as PyTorch, TensorFlow, Scikit-learn, XGBoost.
• Experience working with large datasets and familiarity with data processing and analysis tools like Pandas and NumPy.
• Understanding of financial markets, basic trading principles, and risk management.
• High level of analytical skills, mathematical and statistical thinking, attention to detail, and result-oriented approach.
• At least 2 years of experience as a Quantitative Researcher, preferably in trading or investment funds.
• Willingness to work in a dynamic and demanding environment, ability to make quick decisions, and adapt models to changing market conditions.
• Higher educationpreferably technical or economic degrees from institutions such as MSU, MIPT, HSE, Bauman MSTU, ITMO, SPbSU, NSU.

What We Offer:

• Fully remote work from anywhere in the world with a flexible work schedule.
• Competitive salary and performance-based bonuses.
• 100% paid sick leave and vacation.
• Opportunity to work on cutting-edge projects with modern technologies.
• Work in a leading mining pool with in-depth industry training.
• Professional growth and development opportunities.
• A collaborative and inclusive work environment.

If you are passionate about building high-quality quantitative models and thrive in a fast-paced, innovative environment, we would love to hear from you!

Apply today and become part of our dynamic team!