Junior Quantitative Researcher

About BlockTech

BlockTech operates as a dynamic algorithmic trading firm specializing in global cryptocurrency derivatives and spot markets. Our operations run continuously around the clock across various data-intensive and fast-paced financial venues. Leveraging this complex data, we develop intelligent models, precise signals, and adaptable systems.

The crypto market presents a rare opportunity for researchers to significantly influence trading advantage due to its rich data, unique market structure, and rapid feedback between research concepts and financial outcomes.

Role Overview

We are expanding swiftly and invite applications for a Quantitative Researcher skilled in advanced machine learning to contribute to enhancing our competitive edge.

In this role, you will manage projects end-to-end, from formulating research hypotheses and dataset preparation, through feature extraction, model creation and backtesting, to deployment, continuous monitoring, and iterative refinement.

You will collaborate closely with Quantitative Traders and Analysts, delivering research that directly impacts trading strategies and price setting.

Core Responsibilities

• Work jointly with traders to transform research findings into algorithmic trading methods.
• Develop and implement models for price forecasting, signal creation, trade execution, and detecting market anomalies across crypto derivatives and spot markets using current AI and ML methodologies.
• Construct and maintain robust infrastructures for trading, backtesting, and research alongside engineering teams to accelerate the transition of concepts into production environments.
• Maintain ownership of live models, including performance tracking, troubleshooting declines in effectiveness, and updating deployments.

Required Qualifications and Expertise

• Academic excellence in quantitative disciplines such as Mathematics, Physics, Statistics, Computer Science, Econometrics, or AI/ML fields, ideally with a PhD or MSc accompanied by substantial research experience.
• Proficiency in Python programming and familiarity with modern machine learning tools including PyTorch or TensorFlow, scikit-learn, NumPy, and pandas.
• Solid understanding of overfitting, generalization, validation methods, and feature engineering, with the capability to explain model functionality clearly.
• Strong software development principles, focusing on creating readable, testable, and production-level code.
• Keen interest in financial markets and microstructure; prior industry experience is a plus but not mandatory.
• Excellent communication abilities in English, both written and verbal, to effectively convey complex concepts across multidisciplinary teams.

Preferred Skills

• Hands-on experience in constructing and deploying machine learning models, especially for time-series forecasting or detecting anomalies.
• Knowledge of cryptocurrency markets, derivative pricing, or high-frequency trading datasets.

Benefits and Culture

• Permanent full-time role based in a modern office situated in Singapore’s central business district.
• Competitive salary structure augmented with a lucrative bonus scheme based on performance metrics at both individual and company levels.
• Exceptional performers receive opportunities to invest in the trading fund.
• Comprehensive in-house training programs and an annual budget dedicated to professional development.
• Engagement with cutting-edge algorithmic trading technology as part of a team that embraces AI to drive innovation and productivity.
• Provision of necessary work equipment including laptop, home office allowance, and transportation benefits.
• Daily meals consisting of breakfast and lunch, supplemented with snacks and beverages throughout the day.
• Gym membership reimbursement, opportunities for sports during work hours, and access to various sporting events.
• Regular social gatherings and biannual international trips.
• For international hires, a complete relocation support package is included.

Our Work Environment

Our collective is driven by a passion for combining trading and technology through automation. We foster a collaborative environment where all team members contribute toward challenging and ambitious objectives.

This position presents numerous challenges and fosters growth opportunities both within and beyond the main duties.

We are committed to investing in talent with competitive pay, strong support for innovation, and a culture that promotes reverse leadership and equal opportunity for advancement.

Join BlockTech to unlock your potential and spearhead innovation in the realm of algorithmic trading.