ABOUT THE POSITION

Job Title: Manager – Capital Markets Risk & Data Analytics
Overview:
We are seeking a seasoned professional to lead our Capital Markets Risk Data Analytics team. The ideal candidate will bring deep expertise in banking and financial risk, particularly within capital markets, and will be responsible for overseeing model development, tuning, and performance analysis across sanctions, fraud, and AML domains.

Key Responsibilities:

• Lead the development and optimization of risk models related to sanctions, fraud, and AML within capital markets.
• Oversee model tuning activities, ensuring alignment with regulatory expectations and internal risk frameworks.
• Collaborate with cross-functional teams to document model performance, tuning methodologies, and present findings to senior leadership and regulators.
• Drive innovation in data analytics by leveraging advanced statistical and machine learning techniques.
• Manage and mentor a team of data analysts and modelers, fostering a culture of excellence and continuous improvement.
• Ensure robust governance and version control practices across all modeling activities.

Qualifications:

• Proven experience in capital markets risk, with a strong understanding of banking products, trading systems, and regulatory requirements.
• Expertise in model tuning methodologies and tools, particularly in the context of financial crime and compliance.
• Advanced degree (Master’s or Ph.D.) in statistics, economics, finance, mathematics, or a related quantitative discipline.
• Proficiency in Python and SQL, with demonstrated ability to work with large datasets and automate analytical workflows.
• Strong background in classification models including logistic regression, multinomial logit, and tree-based algorithms (e.g., XGBoost, LightGBM, Random Forest).
• Familiarity with version control systems such as GitHub.
• Excellent communication skills, with the ability to translate complex analytical findings into actionable insights for diverse stakeholders.
• Ability to thrive in a dynamic environment with shifting priorities and multiple concurrent projects.

• Lead the development and optimization of risk models related to sanctions, fraud, and AML within capital markets.
• Oversee model tuning activities, ensuring alignment with regulatory expectations and internal risk frameworks.
• Collaborate with cross-functional teams to document model performance, tuning methodologies, and present findings to senior leadership and regulators.
• Drive innovation in data analytics by leveraging advanced statistical and machine learning techniques.
• Manage and mentor a team of data analysts and modelers, fostering a culture of excellence and continuous improvement.
• Ensure robust governance and version control practices across all modeling activities