Our client offers an AI-powered wealth operating system, empowering financial institutions such as family offices, asset managers, and banks to become WealthTech leaders. This strategic solution enables them to capture the significant wealth transfer to digital-first demographics across Emerging Asia and MENA.

The Role

We are seeking a technically proficient and driven Senior Machine Learning Engineer to spearhead the creation of cutting-edge AI and machine learning applications for finance. The successful candidate will be responsible for the end-to-end development of innovative models for portfolio optimization, forecasting, and risk management. This involves in-depth code development, robust algorithm design, and ensuring the delivery of projects that meet stakeholder expectations and timelines.

You will be responsible for :

• Dive deep into research, design, code, test, and deploy machine learning models that directly impact portfolio construction and market forecasting.
• Take full ownership of exciting projects, from initial concept to seamless production, ensuring top-tier quality, scalability, and maintainability.
• Employ state-of-the-art techniques to crack intricate problems in financial analytics and push the boundaries of what's possible.
• Stay at the forefront of technology by continuously researching and implementing new methodologies to boost model accuracy and efficiency.
• Collaborate closely with internal stakeholders, translating business needs into powerful technical solutions and managing expectations along the way.
• Clearly articulate complex technical concepts to non-technical audiences, ensuring everyone is aligned with our ambitious business objectives.
• Guarantee all solutions comply with stringent data security, governance, and regulatory standards that are paramount in the financial sector.
• Implement rigorous testing and monitoring frameworks to safeguard system integrity and maintain peak performance.

Ideal Profile

• You possess an advanced degree, ideally a Bachelor’s, Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, Financial Engineering, or a related field.
• You've cultivated at least 5 years of hands-on experience in AI, machine learning, or data science, and you've demonstrably built and deployed models that perform in real-world production environments.
• You've gained valuable exposure to the financial sector, particularly in areas like time series forecasting, portfolio optimization, and quantitative analysis.
• You're highly proficient in coding with Python, allowing you to efficiently develop and implement complex algorithms and models.
• You've extensively worked with leading machine learning frameworks such as PyTorch and scikit-learn, enabling you to build sophisticated and effective solutions.
• You possess a solid background in data architecture, big data technologies, and cloud platforms like AWS, GCP, or Azure.
• You've acquired a working knowledge of financial analytics, risk modeling, and quantitative finance methodologies.
• You've explored the potential of large language models (LLMs) and frameworks like LangChain and LlamaIndex.
• You've applied convex optimization techniques to refine portfolio management strategies.
• You're familiar with financial econometrics or related quantitative finance methods.

What's on Offer?

• A collaborative and inclusive corporate culture that values innovation and initiative
• Opportunities for professional growth and career progression
• Flexible working options