VT Markets is an award-winning multi-asset brokerage trusted by clients in over 160 countries. In 2015, we started with a simple mission — to make trading easy and accessible for everyone. Today, VT Markets has evolved into a one-stop solution for all trading needs. As our team is growing rapidly, we are in search of the best talents to join us.

Overview:

We are seeking a highly skilled and data-driven Data Analyst/Business Analyst with expertise in financial markets, algorithmic trading, and advanced analytics. In this role, you will be responsible for managing end-to-end data workflows—from engineering and analysis to modeling and visualization—using cutting-edge tools and techniques.

Responsibilities:

• Work across all aspects of data from engineering to building sophisticated visualizations, machine learning models, and experiments.
• Analyze and interpret large (PB-scale) volumes of transactional, operational, and customer data using proprietary and open-source data tools, platforms, and analytical toolkits.
• Translate complex findings into simple visualizations and recommendations for execution by operational teams and executives.
• Be part of a fast-paced industry and organization where time to market is critical.
• Ability to integrate CRM platforms with internal data visualization platforms and customer data platforms (CDPs).
• Aid conversion tracking and reporting through Google Analytics and Google Tag Manager.
• Provide predictive and preemptive data for business decisions.
• Collaborate with business development teams to understand business needs and identify opportunities through data.
• Present technical results to non-technical audiences.

Requirements:

• A Bachelor's Degree in Marketing/Business Administration/Mathematics/Statistics/Information System/Computer Science/Business Analytics/Data Science or a relevant field.
• Minimum 6 years of experience as a Quantitative Analyst or Data Analyst in a financial firm.
• Proven experience in Quantitative Trading and/or Algorithmic Trading.
• Experience/strong understanding of cryptocurrency/blockchain industries including non-fungible tokens will be an added advantage.

Technical Skills:

• Advanced coding skills in Python.
• Knowledge of Machine Learning methodologies (e.g., Clustering techniques, Factor Modeling, Reinforcement Learning, Advanced Statistics).
• Advanced knowledge of Power BI, Looker Studio, Tableau, or similar tools.
• Strong understanding of Google Analytics and Google Tag Manager.
• Expertise or experience with CRM software (e.g., Braze, Hubspot, Salesforce, Marketo).
• Excellent skills in MS Office suite of programs.

Domain Knowledge:

• Certain knowledge of Mathematical Finance and Financial Markets, such as Algorithmic Trading, Derivative Pricing, Portfolio and Risk Management, Dynamic Programming, and Numerical Methods.
• A passion for Emerging Technologies related to Trading, Blockchain, and Machine Learning.

Soft Skills:

• A self-driven team player with a willingness to learn and adapt.
• Natural curiosity to explore and interpret data trends and patterns.
• Ability to simplify complex technical findings into clear communication.
• Strong eye for detail and precision.
• Quick-thinking and adaptable to volatile market conditions.
• Collaborative, open-minded, and easy to work with.
• Proficient presentation skills.
• Excellent command of English and Chinese, both written and verbal will be an added advantage.