Lead Data Modeling and AI

JOB_REQUIREMENTS

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Education: A bachelor’s or master’s degree in a quantitative field such as Computer Science, Data Science, Mathematics, Engineering, or related discipline. A master’s would be preferred.
Experience:
- 8 years of total experience in data science, AI/ML, and finance/risk, with at least 5 years in a leadership or management role.
- Proven track record of delivering production-grade AI/ML solutions with measurable business impact in a real-world setting.
- Significant experience working within the banking or financial services industry is highly advantageous.
Technical Skills:
- Advanced proficiency in programming languages such as Python (pandas, scikit-learn, TensorFlow, PyTorch) and SQL.
- Hands-on experience with major cloud platforms (AWS, Azure, or GCP) and related ML services.
- Strong understanding of MLOps practices, including CI/CD pipelines, containerization (Docker), and model monitoring tools (MLflow).
- In-depth knowledge of machine learning techniques and algorithms (e.g., deep learning, NLP, anomaly detection).
Soft Skills:
- Excellent leadership, communication, and interpersonal skills, with the ability to influence senior stakeholders.
- Strong analytical and problem-solving abilities, with an inquisitive and investigative nature.
- A strategic mindset with the ability to manage complex, ambiguous situations and adapt to a rapidly changing business environment.

Education: A bachelor’s or master’s degree in a quantitative field such as Computer Science, Data Science, Mathematics, Engineering, or related discipline. A master’s would be preferred.
Experience:
- 8 years of total experience in data science, AI/ML, and finance/risk, with at least 5 years in a leadership or management role.
- Proven track record of delivering production-grade AI/ML solutions with measurable business impact in a real-world setting.
- Significant experience working within the banking or financial services industry is highly advantageous.
Technical Skills:
- Advanced proficiency in programming languages such as Python (pandas, scikit-learn, TensorFlow, PyTorch) and SQL.
- Hands-on experience with major cloud platforms (AWS, Azure, or GCP) and related ML services.
- Strong understanding of MLOps practices, including CI/CD pipelines, containerization (Docker), and model monitoring tools (MLflow).
- In-depth knowledge of machine learning techniques and algorithms (e.g., deep learning, NLP, anomaly detection).
Soft Skills:
- Excellent leadership, communication, and interpersonal skills, with the ability to influence senior stakeholders.
- Strong analytical and problem-solving abilities, with an inquisitive and investigative nature.
- A strategic mindset with the ability to manage complex, ambiguous situations and adapt to a rapidly changing business environment.