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Senior Quantitative Researcher

BlockTech

Singapore · Full Time

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Experience
4+ yrs
Salary
Openings
1
Posted
3 weeks ago
Work mode
In office
Education
Bachelor's degree or higher in a quantitative discipline
Resume
Required to apply

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Job description

About BlockTech

BlockTech is a pioneering algorithmic trading firm specializing in global cryptocurrency derivatives and spot markets. Operating continuously, we engage with some of the most dynamic and data-intensive financial venues worldwide.

Role Overview

As a senior member of our research team located within the trading floor, you will autonomously manage the complete lifecycle of quantitative research projects—from developing hypotheses and constructing datasets, to feature engineering, modeling, backtesting, deployment, and ongoing refinement. This role demands leadership in defining research directions and close collaboration with traders, analysts, and fellow researchers.

Primary Responsibilities

  • Develop and manage predictive models, signals, execution algorithms, and anomaly-detection systems for crypto derivatives and spot markets using advanced machine learning techniques.
  • Collaborate with engineers to enhance research, backtesting, and trading platforms ensuring rapid and safe transition of ideas into production.
  • Monitor and analyze live model performance, diagnosing issues and iteratively refining deployed solutions.
  • Guide research priorities alongside trading teams to identify and execute valuable trading strategies.
  • Mentor junior researchers, conduct code and model reviews, and uphold high standards of research rigor across the team.

Qualifications and Skills Required

  • Minimum of four years’ experience in quantitative research or applied machine learning, including demonstrated success in deploying live trading models.
  • Strong academic background in quantitative fields such as mathematics, physics, statistics, computer science, or machine learning/artificial intelligence.
  • Proficiency in Python programming and familiarity with modern ML frameworks like PyTorch or TensorFlow, as well as scientific libraries including scikit-learn, NumPy, and pandas.
  • Deep understanding of model validation concepts, including overfitting, generalization, design of validation methods, and feature engineering, with the ability to clearly communicate how models operate.
  • Ability to independently prioritize research initiatives and effectively communicate cross-functionally among researchers, engineers, and traders.
  • Robust software engineering capabilities producing maintainable, testable, and production-ready code.
  • Excellent command of English, both written and spoken.

Preferred Attributes

  • Experience in live trading environments, ideally within crypto derivatives or a closely related domain.
  • Proven mentorship experience or leadership roles guiding other researchers.
  • Familiarity with market microstructure and derivatives pricing concepts.

Employee Benefits

  • Permanent full-time position within a stylish workspace located in Singapore’s financial district (CBD).
  • Competitive base salary complemented by a substantial bonus scheme tied to individual and company performance.
  • Opportunity for exceptional performers to acquire ownership stakes in the trading fund.
  • Comprehensive in-house training programs and an annual budget dedicated to learning and development.
  • Work at the cutting edge of automated trading technologies, leveraging AI to enhance productivity and system sophistication.
  • Provision of laptop, home office budget, and transportation allowance.
  • Daily catering including breakfast and warm lunch, plus continuous availability of snacks and beverages.
  • Support for physical wellness through gym membership reimbursement, sponsored sports events, and allowance for exercising during work hours.
  • Regular social engagements ranging from bi-annual overseas trips to frequent outings.
  • For international hires, a full relocation package is included.

Company Culture

BlockTech values a passionate, teamwork-driven culture where innovation in automated trading thrives. Our environment encourages challenge, personal growth, and the broadening of skills beyond immediate job roles.

We invest in our employees through competitive rewards, foster a spirit of innovation, and celebrate achievements collectively. We promote equality, reverse leadership models, and unlimited development opportunities, creating an inclusive workspace where everyone can excel.

Join us to elevate your career and contribute to breakthrough advancements in algorithmic trading.

Minimum education

Bachelor's Degree

Tools & software

Machine Learning required

How they work

Communication Teamwork & Collaboration Problem Solving Leadership Independence
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