Senior machine learning engineer - financial applications

Investbanq is an AI-powered wealth operating system for family offices, asset managers and banks. We are empowering traditional financial institutions to rapidly transform into AI-driven WealthTech players, enabling them to effectively capitalize on the growing wealth transfer to affluent millennials and other digital natives across emerging Asia and MENA. We are scaling quickly across Asia and MENA and are assembling a high‑calibre engineering team to power our next phase of growth.

Job overview

We are looking for a technically skilled and entrepreneurial Senior Machine Learning Engineer to drive the development of advanced AI and machine learning solutions for financial applications. You will take charge of building, deploying, and maintaining innovative models for portfolio optimization, forecasting, and risk management. In this role, you will manage the entire product development lifecycle—from writing extensive code and designing robust algorithms to ensuring that project milestones and stakeholder expectations are met.

Key responsibilities

• End-to-end product development
  • research, design, code, test, and deploy machine learning models and services tailored for financial applications such as portfolio construction and market forecasting
  • Take complete ownership of projects from concept through production, ensuring high-quality, scalable, and maintainable solutions
• Technical innovation & problem solving
  • leverage state-of-the-art techniques to solve complex challenges in financial analytics
  • continuously research and implement new methodologies to enhance model accuracy and efficiency
• Team engagement
  • collaborate with internal stakeholders to gather requirements, manage expectations, and translate business needs into technical solutions
  • communicate complex technical concepts clearly to non-technical audiences and ensure alignment with business objectives
• Data governance & compliance
  • ensure that all solutions adhere to stringent data security, governance, and regulatory standards prevalent in the financial sector
  • implement rigorous testing and monitoring frameworks to maintain system integrity and performance

Qualifications

• Education
  • degree (Bachelor’s, Master’s or Ph.D.) in Computer Science, Data Science, Machine Learning, Financial Engineering, or a related field
• Experience
  • 5+ years of hands-on experience in AI, machine learning, or data science roles, with demonstrable experience in building and deploying production-grade models
  • prior exposure to the financial sector, especially in areas such as time series forecasting, portfolio optimization, and quantitative analysis
• Technical skills (must have)
  • strong proficiency in coding with languages such as Python
  • extensive experience with machine learning frameworks (e.g., PyTorch, scikit-learn)
  • solid background in data architecture, big data technologies, and cloud platforms (AWS, GCP, Azure)
  • working knowledge of financial analytics, risk modeling, and quantitative finance methodologies
  • experience with large language models (LLMs) and frameworks such as LangChain, LlamaIndex, etc.
• Good to have
  • experience with convex optimization techniques to refine portfolio management strategies
  • familiarity with financial econometrics or related quantitative finance methods

What we offer

• Hybrid - 3 days in the office per week
• Location: Almaty, Gagarin Av., 310
• Employment status: Official, in accordance with the legislation of the Republic of Kazakhstan