Location: İstanbul/Ankara

About InoTrade

At InoTrade, we shape the future of global commerce by leading in AI-driven innovation. By combining advanced AI capabilities with deep industry expertise, we transform complexity into clarity and deliver solutions that drive meaningful, lasting impact.

What makes this possible is our people. We bring together AI experts, engineers, researchers, and industry leaders who thrive on collaboration and curiosity. United by a passion for solving the toughest challenges, our team creates breakthroughs that push the boundaries of technology and business.

Role

The Quantitative AI Developer builds and maintains the AI and machine-learning models that power InoTrade’s analytical and trading infrastructure. You will apply rigorous statistical and computational methods to large-scale market and operational datasets, designing predictive systems that enhance forecasting, risk analysis, and portfolio performance.

This role is highly technical and research-oriented, ideal for candidates with strong AI / ML modeling experience who want to see their models make direct market impact in global commerce.

Responsibilities

• Build advanced models leveraging large-scale and complex datasets to generate predictive insights for derivative products.
• Design, train, and test quantitative and machine learning models to identify predictive signals from time series and alternative data sources.
• Conduct in-depth quantitative and qualitative assessments of model performance, including theoretical soundness, design integrity, implementation quality, and data consistency.
• Research and implement machine learning algorithms to support forecasting and trading strategy development across derivative products and related markets.
• Build software features and automation tools that enhance scalability, reliability, and efficiency.
• Develop and maintain APIs, services, and back-end tools to integrate models.
• Collaborate closely with cross-functional teams to integrate validated models into production workflows, ensuring scalability, accuracy, and operational efficiency.

Requirements

• Bachelor’s or Master’s degree in Computer Engineering, or a related discipline.
• Minimum 2 years of experience in Quantitative Developer, AI Developer, or similar roles.
• Strong programming skills in Python (pandas, NumPy, scikit-learn, PyTorch, etc.).
• Solid understanding of statistics, econometrics, and machine learning.
• Experience in developing and maintaining production-level ML systems or analytical tools.
• Experience with time series modeling (ARIMA, XGBoost, LSTM, etc.) is a plus.

Preferred Qualifications

• Experience with machine learning or deep learning for financial data applications.
• Familiarity with big data and cloud environments (e.g., Spark, AWS, GCP).
• Experience with financial data APIs (Bloomberg, Refinitiv, yFinance, etc.).
• Relevant certifications such as CFA, FRM, or training in Quantitative Finance.

Soft Skills

• Ability to communicate complex quantitative and financial concepts clearly to non-technical stakeholders.
• Strong cross-team collaboration and coordination capabilities.
• Proactive, solution-oriented, and adaptable in fast-changing market environments.