Việc làm Trusting Social
Cập nhật 16/09/2024 19:39
Tìm thấy 1 việc làm đang tuyển dụng
Data Analyst
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Thông tin cơ bản
Mức lương:
Thỏa thuận
Chức vụ:
Nhân viên
Ngày đăng tuyển:
10/08/2024
Hạn nộp hồ sơ:
07/10/2024
Hình thức:
Toàn thời gian
Kinh nghiệm:
Trên 5 năm
Số lượng:
1
Giới tính:
Không yêu cầu
Nghề nghiệp
Ngành
Địa điểm làm việc
- Địa điểm làm việc: Toàn Quốc
Strategic Development: Innovate and enhance existing quantitative trading / pricing strategies, risk assessment and forecasting
Predictive Analytics: Leverage machine learning, signal processing, and statistical analysis to identify and implement predictive trends and price signals.
Execution Optimization: Develop strategies for optimizing execution through market micro-structure analysis.
Research: Conduct research on commodity markets, using statistical and mathematical techniques to inform model development.
Algorithm Implementation: Implement and optimize algorithms for data processing, model calibration, and scenario analysis.
Reporting: Prepare detailed reports and presentations to communicate findings and recommendations to stakeholders.
Collaboration: Work closely with other analysts, data scientists, portfolio managers and industry experts to craft cutting-edge quantitative and algorithmic trading strategies.Education: Bachelor's or Master's degree in Quantitative Finance, Mathematics, Statistics, Computer Science, Agricultural Economics, or a related field.
At least 5 years to 10 years of quantitative research experience in financial markets, preferably within Agricultural or other Commodities, with good understanding of the supply chain ecosystem.
Experience with Agriculture & food commodities and also experience with Carbon Trading.
Proven Track Record: Demonstrated experience in building and refining quantitative strategies.
Programming Skills: Proficiency in C/C++ or Python for effective implementation.
Communication Skills: Excellent communication skills to collaborate effectively with cross-functional teams.Salary shall be discussed during the interview;
Monthly working allowance when working at client's office;
5 working days per week (Monday-Friday), some extent flexible working hours;
Friendly, professional and open working environment;
Premium Heath Care Insurance 24/7 for Key Person;
Company Trip and Events, Birthday Party, Year End Party;
Labor Contract, Social insurance as Labor Law;
Training courses: Technical skills, Japanese;
Professional and Flexible Working Environment.
Predictive Analytics: Leverage machine learning, signal processing, and statistical analysis to identify and implement predictive trends and price signals.
Execution Optimization: Develop strategies for optimizing execution through market micro-structure analysis.
Research: Conduct research on commodity markets, using statistical and mathematical techniques to inform model development.
Algorithm Implementation: Implement and optimize algorithms for data processing, model calibration, and scenario analysis.
Reporting: Prepare detailed reports and presentations to communicate findings and recommendations to stakeholders.
Collaboration: Work closely with other analysts, data scientists, portfolio managers and industry experts to craft cutting-edge quantitative and algorithmic trading strategies.Education: Bachelor's or Master's degree in Quantitative Finance, Mathematics, Statistics, Computer Science, Agricultural Economics, or a related field.
At least 5 years to 10 years of quantitative research experience in financial markets, preferably within Agricultural or other Commodities, with good understanding of the supply chain ecosystem.
Experience with Agriculture & food commodities and also experience with Carbon Trading.
Proven Track Record: Demonstrated experience in building and refining quantitative strategies.
Programming Skills: Proficiency in C/C++ or Python for effective implementation.
Communication Skills: Excellent communication skills to collaborate effectively with cross-functional teams.Salary shall be discussed during the interview;
Monthly working allowance when working at client's office;
5 working days per week (Monday-Friday), some extent flexible working hours;
Friendly, professional and open working environment;
Premium Heath Care Insurance 24/7 for Key Person;
Company Trip and Events, Birthday Party, Year End Party;
Labor Contract, Social insurance as Labor Law;
Training courses: Technical skills, Japanese;
Professional and Flexible Working Environment.
Khu vực
Quy mô:
100 - 200 nhân viên
Địa điểm:
Tầng 8 Tòa nhà Havana, 132 Hàm Nghi, Phường Bến Thành, Quận 1, Thành phố Hồ Chí Minh, Việt Nam
Trusting Social là một công ty fintech tiên phong trong lĩnh vực Alternative Credit Scoring – hệ thống chấm điểm tín dụng. Trusting Social được (TS) thành lập vào năm 2013 bởi nhà khoa học dữ liệu, tiến sĩ Nguyễn An Nguyên. Bằng công nghệ Big Data (dữ liệu lớn) và AI (trí tuệ nhân tạo), Trusting Social sẽ xây dựng nên một cơ sỡ dữ liệu điểm tín dụng (credit score) của mỗi cá nhân, từ đó giúp các tổ chức tài chính đưa ra quyết định cấp tín dụng cho khách hàng.
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