Associate - Quantitative Model Validation - Algo Trading - Investment Banking

Key objectives critical to success:

The current role will specifically cover the following areas:

- Independent Validation of Algorithmic Trading Models, including Assessment of conceptual soundness of Algorithmic Trading Models, including the integrity and suitability of Model parameters

Implementation Testing

Model Risk Analysis - to identify, analyse and quantify Model Risk, which involves independent coding/development of the algorithmic trading strategy.

- Development and Execution of Model Performance Monitoring to ensure that Algorithmic Trading Models are performing as intended.

- Design and implementation of Model Risk Control processes for Algorithmic Trading Models

- Preparation of model review documentation

Qualification, Experience & Skills: Essential

- A working experience in a quantitative environment either as a Model Developer or Model Validator

- A graduate/postgraduate degree in a quantitative discipline

- Practical knowledge of optimization, statistics, and machine learning (e.g., classification, supervised and unsupervised learning)

- Hands-on experience with querying and analyzing big datasets, ideally high frequency tick data.

- Strong aptitude for code development and backtesting of trading strategies using python or similar.

- Excellent verbal & written communication skills in English and competent in delivering high-quality evidence-based reports.

- Self-motivated work attitude and ability to deal with various stakeholders.

Desirable

- Experience in scientific programming & data visualization in R or Python and its libraries (e.g.scikit-learn, tensorflow)

- Knowledge of q/kdb+

- PhD (or equivalent) in a quantitative discipline