Machine Learning Researcher - High Frequency Trading with Dubai Relocation

Company Overview

An international High Frequency Trading (HFT) fund operating in cryptocurrencies and traditional financial markets is seeking an experienced Machine Learning Researcher to join their established team. The fund boasts consistent profit growth and offers a direct and measurable impact on profit and loss (PnL), with a short feedback loop between hypothesis and business outcome.

Role Summary

The selected candidate will generate and validate machine learning hypotheses to enhance trading strategies. The role requires independently developing and maintaining high-quality ML models that meaningfully affect the fund's PnL, with responsibilities spanning from prototype creation through production deployment. This is a full-time, onsite role based in Dubai with a comprehensive relocation package.

Responsibilities

• Create and test machine learning hypotheses aimed at improving trading strategies.
• Design, validate, and sustain ML models that directly influence trading PnL.
• Adjust models to facilitate entry into new markets.
• Independently convert research findings into reusable, production-ready code.

Required Qualifications and Skills

• Minimum 3 years for middle-level, or 5 years for senior experience in Machine Learning or Data Science.
• Degree from a strong technical university specializing in machine learning, mathematics, or related fields.
• Proficiency in applied mathematical statistics and probability theory.
• Advanced Python skills capable of implementing algorithms using libraries such as numpy, pandas, scikit-learn, and matplotlib.
• Ability to write clean, understandable code; prior production experience is a significant advantage.
• Experience in ML tasks with explicit numeric metrics linked to business revenue, including trading, credit scoring, recommendation systems affecting revenue, or competitive ML (e.g., Kaggle).
• Willingness to relocate to Dubai and work full-time from the office.

Preferred Qualifications

• Basic knowledge of C++ programming.
• English proficiency level B1 or above.
• Experience working with tabular data and high-frequency time series.
• Familiarity with data infrastructure and machine learning pipelines.

Compensation and Benefits

• Competitive annual salary range from $160,000 to $240,000 USD plus a profit-sharing bonus component.
• Comprehensive relocation package including flights for the candidate and family members, plus one month hotel accommodation.
• Opportunity for rapid translation of ideas into strategies, with your work directly impacting the fund's profit and loss.

Additional Information

The company operates under strict confidentiality agreements as an international HFT fund. The environment encourages innovative thinking and quick hypothesis testing with real business impact.