Fidelity International - Senior Manager - Model Validation - Artificial Intelligence/Machine Learning Model

Purpose of your role

- A senior model validation professional with a primary focus on AI and ML models, including advanced language models like Chat GPT. This role requires a deep understanding of AI and ML models, their underlying mathematics, and the technology used for implementation.

- The ideal candidate will have a strong grasp of current trends in AI and ML model usage, especially within the asset management space. Additionally, the role involves staying informed about responsible AI and ML usage and evolving regulatory expectations in different geographies. The Senior Manager will tackle challenges related to complex and extensive AI and ML models and innovate solutions to conduct effective model risk assessment.

- As Senior Model Validation Quant, this role focuses on engaging with business, i.e. model owner and developers in a model validation exercise, conducting in-depth validation analyses, identifying potential issues and communicate effectively to relevant stakeholders.

- Facilitate knowledge sharing and effective risk management to benefit the team and the wider business. while maintaining strict adherence to FIL's Model Risk Policy and procedures.

Key Responsibilities

- To develop a strong understanding of FIL's Model Risk Policy and procedures and support education efforts with internal and external stakeholders

- Independently lead model validation exercises, applying rigorous analysis to assess model accuracy, robustness, and compliance with FIL's Model Risk Policy or other relevant regulations.

- Identify potential issues and discrepancies, and engage in open discussions with stakeholders to reach consensus on appropriate remediation actions.

- Translate complex technical findings into clear and actionable recommendations for both technical and non-technical stakeholders.

- Act as a subject matter expert, providing guidance and insights to model owners and developers, ensuring compliance with FIL's Policy and procedures.

- Stay abreast of current trends in AI and ML model usage and controls, especially within asset management, and apply this knowledge to model validation processes.

- Stay informed about evolving regulatory requirements related to AI and ML model usage in various geographies and ensure compliance in model validation.

- Identify and address challenges associated with large and complex AI and ML models and develop innovative solutions for effective model risk control.

- Foster a collaborative environment within the Model Risk Team, promoting knowledge sharing and teamwork.

- Mentor and guide junior team members in their professional development.

Experience and Qualifications Required:

- Strong expertise in AI and ML models, including natural language processing (NLP), deep learning, and advanced language models.

- Minimum of 7 years of experience in quantitative modelling and model validation within the financial industry.

- Advanced degree (Ph.D. or Master's) in a quantitative field such as Mathematics, Statistics, Computer Science, or a related discipline preferred.

- Proficiency in programming languages commonly used in AI and ML, such as Python, TensorFlow, or PyTorch.

- Ability to demonstrate project delivery across model validation, model documentation will be highly advantageous.

- Hands-on mentality

- Excellent analytical, problem-solving and written skills.

- Strong people management skills and experience

- Excellent at providing innovative ideas and comfortable working under pressure

- Dedicated to maintaining high quality standards and client satisfaction