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อัปเดตล่าสุด: 2 วันที่แล้ว
Senior Machine Learning Engineer – Financial Applications

Senior Machine Learning Engineer – Financial Applications

InvestbanqThailand
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Engineer, Outstation Maintenance (Thailand)

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TH-Specialist : Full Time or Part Time, Permanent or Temporary

TH-Specialist : Full Time or Part Time, Permanent or Temporary

AppleThailand
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Senior Machine Learning Engineer – Financial Applications

Senior Machine Learning Engineer – Financial Applications

InvestbanqThailand
12 วันที่แล้ว
คำบรรยายลักษณะงาน

Investbanq is an AI-powered wealth operating system designed for family offices, asset managers, and banks. Our mission is to empower traditional financial institutions to seamlessly transform into AI-driven WealthTech leaders, enabling them to capitalize on the growing wealth transfer to affluent millennials and other digital natives across Emerging Asia and MENA.

The Role

We are seeking a technically skilled and entrepreneurial Senior Machine Learning Engineer to join our fast-growing team and lead the development of cutting-edge AI solutions for financial applications. This role demands a unique combination of deep technical expertise, creative problem-solving, and strong stakeholder collaboration to build and scale impactful machine learning models.

As a Senior Machine Learning Engineer, you will play a key role in designing, deploying, and optimizing models for portfolio construction, market forecasting, and risk management—owning the product lifecycle end-to-end from research to production.

Key Responsibilities

End-to-End Product Development :

  • Design, build, test, and deploy ML models tailored for finance use cases such as forecasting and portfolio optimization.
  • Take complete ownership of projects, ensuring delivery of robust, scalable, and maintainable solutions.

Technical Innovation & Problem Solving :

  • Apply state-of-the-art machine learning techniques to solve complex challenges in financial analytics.
  • Continuously explore new methods and tools to improve model performance and efficiency.
  • Team Engagement :

  • Work closely with stakeholders to translate business needs into technical solutions.
  • Communicate technical concepts clearly to non-technical audiences to ensure alignment and impact.
  • Data Governance & Compliance :

  • Ensure all models and systems adhere to strict data governance, privacy, and financial regulations.
  • Implement testing, monitoring, and quality assurance protocols to maintain system integrity.
  • Ideal Profile

  • You hold a Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, Machine Learning, Financial Engineering, or a related technical field.
  • You have at least 3 years of hands-on experience in AI, machine learning, or data science roles, with a proven track record of developing and deploying production-grade models.
  • You bring strong technical expertise in Python programming and machine learning frameworks such as PyTorch and scikit-learn.
  • You have a solid grasp of data architecture, big data technologies, and cloud platforms (AWS, GCP, Azure).
  • You are well-versed in financial analytics, quantitative finance, and risk modeling, with practical experience in applications such as time series forecasting and portfolio optimization.
  • You have hands-on experience with convex optimization frameworks like CVXPY.
  • Experience with convex optimization techniques to refine portfolio management strategies is advantageous.
  • Familiarity with financial econometrics or related quantitative finance methods is preferred.
  • You possess strong problem-solving abilities and a continuous learning mindset.
  • You communicate effectively across technical and non-technical teams.
  • You are highly collaborative, adaptable, and take ownership of your work in fast-paced, high-impact environments.
  • What's on Offer?

  • Exciting opportunity to build cutting-edge AI solutions in a high-growth WealthTech startup
  • Be part of a collaborative and inclusive corporate culture that values innovation and initiative