Senior Quantitative Analyst

Are you an experienced credit risk professional with a passion for quantitative modelling, IFRS 9, regulatory capital, and advanced analytics?

An exciting opportunity is available for a Credit Risk Manager to join a specialist Financial Risk Management team, working on complex credit risk models, regulatory capital frameworks, and cutting-edge quantitative solutions across the banking and financial services sector.

The Opportunity

This role is ideal for someone who enjoys combining technical modelling expertise with project leadership and mentoring, while working on high-impact credit risk engagements across a diverse client base.

Key Responsibilities

• Develop, validate, and review credit risk models for provisioning and regulatory capital purposes.
• Lead and contribute to projects across the planning, execution, and close-out lifecycle.
• Design, review, and automate financial risk models using modern programming languages.
• Apply advanced statistical and quantitative modelling techniques to solve complex credit risk challenges.
• Collaborate with stakeholders to translate quantitative findings into practical business insights.
• Ensure high-quality project delivery while managing timelines and competing priorities.
• Mentor and coach junior team members, fostering a collaborative and high-performing team culture.
• Contribute to the continuous improvement of modelling methodologies, coding practices, and project delivery standards.

What We Are Looking For

• 6+ years of experience in a quantitative credit risk role within financial services.
• Strong experience in credit risk modelling, including IFRS 9 and regulatory capital models.
• Solid understanding of contemporary statistical modelling techniques and methodologies.
• Hands-on coding experience with Python, SAS, and/or R.
• Strong quantitative and analytical problem-solving abilities.
• Experience managing projects or workstreams from planning through delivery.
• Previous experience mentoring or coaching junior analysts or modellers.
• Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.
• Ability to thrive in a fast-paced environment with multiple priorities and deadlines.

Qualifications

Candidates should ideally possess:

• An Honours or Master's Degree in Quantitative Finance, Mathematics, Statistics, or a related quantitative discipline.
• An FRM qualification, which would be highly advantageous.

Why Apply?

This is an exceptional opportunity to work on complex credit risk, IFRS 9, and regulatory capital projects, gain exposure to advanced modelling techniques, and further develop your leadership and technical expertise within a specialist financial risk environment.

If you are an experienced Credit Risk Manager looking for your next challenge, we would love to hear from you.