Total 4 finance analyst job vacancies in Maintenance / Repair category in D22 Jurong, Jurong Island, Tuas

Our company is at the forefront of innovation in financial technology. Our mission is to develop AI-driven strategies that predict market trends.

We're looking for talented individuals to join our newly founded trading team in our Singapore office as Machine Learning Developers with a specialization in predictive finance.

Responsibilities:

• Develop and implement machine learning predictive models.
• Collaborate closely with team members to create data-driven trading strategies and algorithms.
• Conduct research on academic literature.
• Explore various data sources to craft insightful features for machine learning models.
• Continuously improve and monitor the performance of the ML models.
• Stay up-to-date with the latest trends in machine learning.

Qualifications:

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Mathematics, or a related field.
• Experience: 5+ years of experience in machine learning.
• Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.
• Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.
• Problem-Solving: Outstanding problem-solving skills with the ability to apply machine learning techniques to complex market data.
• Communication: Strong verbal and written communication skills to work effectively within our collaborative team.

Preferred Qualifications:

• Experience with time-series analysis and forecasting.
• Knowledge of the financial industry and experience working with big data.
• Independent research experience.

Our company is at the forefront of innovation in financial technology. Our mission is to develop AI-driven strategies that predict market trends.

We're looking for talented individuals to join our newly founded trading team in our Singapore office as Machine Learning Developers with a specialization in predictive finance.

Responsibilities:

• Develop and implement machine learning predictive models.
• Collaborate closely with team members to create data-driven trading strategies and algorithms.
• Conduct research on academic literature.
• Explore various data sources to craft insightful features for machine learning models.
• Continuously improve and monitor the performance of the ML models.
• Stay up-to-date with the latest trends in machine learning.

Qualifications:

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Mathematics, or a related field.
• Experience: 5+ years of experience in machine learning.
• Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.
• Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.
• Problem-Solving: Outstanding problem-solving skills with the ability to apply machine learning techniques to complex market data.
• Communication: Strong verbal and written communication skills to work effectively within our collaborative team.

Preferred Qualifications:

• Experience with time-series analysis and forecasting.
• Knowledge of the financial industry and experience working with big data.
• Independent research experience.

Our company is at the forefront of innovation in financial technology. Our mission is to develop an AI-driven platform that predicts market trends, empowering retail investors with the tools previously only accessible to professionals. We're looking for a talented Senior Machine Learning Developer with an interest in finance to join our growing team in our Singapore office.

Responsibilities:

• Develop and Implement Machine Learning Models: Design, build, and implement predictive models to forecast market trends, enhancing our platform's capabilities.
• Collaborate with Cross-Functional Teams: Engage closely with data engineers, quantitative researchers, and product managers to create data-driven trading strategies and algorithms.
• Data Analysis and Feature Engineering: Utilize various data sources to craft insightful features for machine learning models.
• Continuous Improvement: Monitor and fine-tune models for peak performance and efficiency.
• Stay Up-to-Date: Maintain awareness of the latest trends in machine learning and predictive modeling.

Qualifications:

• Education: Bachelor's/Master's/Ph.D. in Computer Science, Mathematics, or related field.
• Experience: 5+ years of experience in machine learning.
• Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.
• Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.
• Problem-Solving: Outstanding problem-solving skills with an ability to apply machine learning techniques to complex market data.
• Communication: Strong verbal and written communication skills to work effectively within our collaborative team.

Preferred Qualifications:

• Experience with time-series analysis and forecasting.
• Familiarity with cloud computing platforms like AWS, Azure, etc.
• Knowledge of financial industry and working with big data.

Our company is at the forefront of innovation in financial technology. Our mission is to develop an AI-driven platform that predicts market trends, empowering retail investors with the tools previously only accessible to professionals. We're looking for a talented Senior Machine Learning Developer with an interest in finance to join our growing team in our Singapore office.

Responsibilities:

· Develop and Implement Machine Learning Models: Design, build, and implement predictive models to forecast market trends, enhancing our platform's capabilities.

· Collaborate with Cross-Functional Teams: Engage closely with data engineers, quantitative researchers, and product managers to create data-driven trading strategies and algorithms.

· Data Analysis and Feature Engineering: Utilize various data sources to craft insightful features for machine learning models.

· Continuous Improvement: Monitor and fine-tune models for peak performance and efficiency.

· Stay Up-to-Date: Maintain awareness of the latest trends in machine learning and predictive modeling.

Qualifications:

· Education: Bachelor's/Master's/Ph.D. in Computer Science, Mathematics, or related field.

· Experience: 5+ years of experience in machine learning.

· Technical Skills: Proficient in Python, R, TensorFlow, PyTorch, or similar machine learning frameworks.

· Financial Acumen: Interest in financial markets, trading, and economics. A deep understanding of these subjects is strongly preferred but not required.

· Problem-Solving: Outstanding problem-solving skills with an ability to apply machine learning techniques to complex market data.

· Communication: Strong verbal and written communication skills to work effectively within our collaborative team.

Preferred Qualifications:

Experience with time-series analysis and forecasting.

Familiarity with cloud computing platforms like AWS, Azure, etc.

Knowledge of financial industry and working with big data.

Benefits:

Competitive salary and performance-based incentives.

Dynamic and collaborative working environment.

Comprehensive benefits package, including healthcare.

Continuous learning and professional growth opportunities.