Position Overview:

The Chief Quantitative Officer is responsible for leading the development and application of quantitative models, analytics, and data-driven strategies across the organization. The CQO oversees quantitative research, model development, and advanced analytics to support trading, risk management, portfolio optimization, and strategic decision-making. This role requires deep expertise in quantitative finance, data science, and financial modeling.

Key Responsibilities:

1. Quantitative Strategy & Innovation

Develop and implement quantitative strategies to enhance trading, investment, and risk management capabilities.

Drive innovation through advanced analytics, machine learning, and data science techniques.

Align quantitative initiatives with business and investment objectives.

2. Model Development & Validation

Oversee the design, development, and validation of quantitative models (pricing, risk, forecasting, and optimization).

Ensure model accuracy, robustness, and scalability.

Establish model governance frameworks and validation processes.

3.



Data Analytics & Infrastructure

Lead the development of data infrastructure and analytics platforms.

Ensure availability, quality, and integrity of data used in quantitative models.

Collaborate with IT and data teams to enhance data capabilities.

4. Risk Management & Analytics

Develop models for market risk, credit risk, liquidity risk, and stress testing.

Support enterprise risk management through quantitative insights.

Monitor model risk and ensure compliance with internal and regulatory standards.

5. Trading & Investment Support

Provide quantitative support for trading strategies, algorithmic trading, and portfolio optimization.

Develop tools for pricing, hedging, and execution.

Collaborate with trading, investment, and portfolio management teams.

6. Research & Development

Lead quantitative research initiatives on financial markets, asset pricing, and emerging technologies.

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📌 Chief Quantitative Officer (Trinitat)
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📍 Trinitat