[Remote] Data Analyst

Conduct research on commodity markets, using statistical and mathematical techniques to inform model development.
Leverage machine learning, signal processing, and statistical analysis to identify and implement predictive trends and price signals.
Innovate and enhance existing quantitative trading / pricing strategies, risk assessment and forecasting
Develop strategies for optimizing execution through market micro-structure analysis.
Prepare detailed reports and presentations to communicate findings and recommendations to stakeholder
Implement and optimize algorithms for data processing, model calibration, and scenario analysis.
Work closely with other analysts, data scientists, portfolio managers and industry experts to craft cutting-edge quantitative and algorithmic trading strategies.

Working remote
Competitive income with commission for new deal and annual performance bonus
Oppoturnity to work with caliber project with client in Vietnam and aboard
Dynamic and flexible environment with positive teammates
Premium Healthcare insurance to protect your health, and annual health check
Provide laptop for working
Opportunity to develop your career path
Annual company trip, Team Building, Happy hours, Birthday Activities...
And other benefits according to labor law.

Experience with Agriculture & food commodities and also experience with Carbon Trading.
Have experience in financial markets, preferably within Agricultural or other Commodities, with good understanding of the supply chain ecosystem.
Proficiency in C/C++ or Python;
Experience in building and refining quantitative strategies;
Bachelor's degree in Quantitative Finance, Mathematics, Statistics, Computer Science, Agricultural Economics, or a related field;
Excellent communication skills.