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Jobs in Singapore   »   Jobs in Singapore   »   Maintenance / Repair Job   »   Machine Learning Developer ( Finance Focused ) - K
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Machine Learning Developer ( Finance Focused ) - K

Technology Services Group Pte. Ltd.

Technology Services Group Pte. Ltd. company logo

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.

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