Senior Data Analyst

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;
Conduct research on commodity markets, using statistical and mathematical techniques to inform model development;
Implement and optimize algorithms for data processing, model calibration, and scenario analysis;
Prepare detailed reports and presentations to communicate findings and recommendations to stakeholders;
Work closely with other analysts, data scientists, portfolio managers and industry experts to craft cutting-edge quantitative and algorithmic trading strategies;

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

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