Model Validation Specialist

TieTalent; Birmingham; Remote; GBP 40,000 - 48,000; Full time

Job summary

A leading company in the financial sector is seeking a Model Validation Specialist to join their Independent Model Validation team. This role involves validating traditional and machine learning models, engaging with stakeholders, and promoting best practices in modeling. The ideal candidate will have advanced Python skills, a higher qualification in mathematics or computer science, and experience in AI modeling. This is a permanent position with a competitive salary and flexible working options.

Qualifications

• Higher qualification in mathematics or computer science (MSc or above) or equivalent experience.
• Experience with machine learning and AI modeling, including Generative AI.
• Advanced Python skills.

Responsibilities

• Supporting validation of traditional and machine learning models.
• Providing expertise in artificial intelligence and mathematics.
• Generating validation reports and ensuring follow-up actions.

Skills

Python

Data science

Machine Learning

Artificial Intelligence

Report Writing

Decision Making

Education

MSc in Mathematics or Computer Science

Job description

Join to apply for the Model Validation Specialist role at TieTalent.

About

Business Unit: Group Risk, Independent Model Validation

Salary range: up to circa £48,000 per annum DOE + benefits

Location: UK Flexible/Remote

Contract type: Permanent

Our Team

We have an exciting opportunity in our Independent Model Validation team, which oversees credit risk, financial, and operational models, including emerging technologies like Machine Learning and Generative AI. We provide independent validations and reviews to ensure robust model development and oversight.

Responsibilities

1. Supporting validation of traditional and machine learning models.
2. Providing expertise in artificial intelligence and mathematics to facilitate discussions between Model Development and Model Risk Management.
3. Engaging with model owners, analyzing materials, challenging performance, and documenting findings.
4. Using technical skills in data manipulation to assess and compare data sources.
5. Generating validation reports and ensuring follow-up actions.
6. Promoting best practices in modelling within the bank.

Minimum Requirements

• Higher qualification in mathematics or computer science (MSc or above) or equivalent experience.
• Experience with machine learning and AI modeling, including Generative AI.
• Experience in model development or validation, e.g., Fraud or Financial Crime models.
• Advanced Python skills.
• Knowledge of data science and data mining methodologies.
• Excellent report writing and presentation skills.
• High accuracy and decision-making skills.