Job Description

The 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

The Job

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.

The 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 are experienced in working with large language models (LLMs) and tools like LangChain and LlamaIndex.
• 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.
• 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.

The Employer

Our client is an AI-powered wealth operating system designed for family offices, asset managers, and banks. Our client 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.

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