Quantitative Risk Analyst

JR United Kingdom; City Of London; Hybrid; GBP 85,000; Full time

Job summary

A leading credit risk modelling team in London is hiring a Quantitative Risk Analyst to enhance their regulatory transformation efforts. This role focuses on data analysis and model development within a hybrid working environment, offering a competitive salary up to £85,000 plus benefits. Candidates should possess a relevant degree and experience in SAS and SQL, alongside strong analytical skills.

Benefits

Flexible working

Collaborative environment

Opportunity for regulatory transformation

Qualifications

• Background in Stats, Maths, Data Science or Engineering required.
• Proficiency in SAS, SQL, and other data tools.
• Sharp analytical & problem-solving skills needed.

Responsibilities

• Data analysis & model development for PD, LGD, and EAD.
• Building scorecards & stress testing models.
• Supporting IRB regulatory self-assessments.

Skills

Data analysis

Statistical analysis

Problem-solving

Communication

Report-writing

Teamwork

Education

Degree in Statistics, Mathematics, Data Science or Engineering

Tools

SAS

SQL

Job description

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Quantitative Risk Analyst, London (City of London)

Client: InterQuest Group

Location: London (City of London), United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views:

3

Posted:

16.06.2025

Expiry Date:

31.07.2025

Job Description:

We're Hiring! | Quantitative Risk Analyst

Up to £85,000 plus benefits and bonus

Hybrid | 3 days in-office, London | Flexible working

Join a Leading Credit Risk Modelling Team!

NO RELOCATION/SPONSORSHIP AVAILABLE - HOWEVER OPEN TO VISA TRANSFER IF ALREADY IN THE UK.

Are you ready to take your quantitative skills to the next level in a high-impact, regulation-driven environment? We're looking for a passionate Quantitative Risk Analyst to help deliver the Internal Ratings Based (IRB) approach across retail and commercial lending portfolios.

What You’ll Be Doing:

• Data analysis & model development for PD, LGD, and EAD
• Building scorecards & stress testing models
• Supporting IRB regulatory self-assessments
• Identifying data gaps & ensuring quality remediation
• Supporting model calibration and ongoing reviews

Your Toolkit:

• Background in Stats, Maths, Data Science or Engineering
• Strong knowledge of IRB, CRR, EBA & PRA regulations
• Proficiency in SAS, SQL, and other data tools
• Sharp analytical & problem-solving skills
• Excellent communication & report-writing abilities
• A proactive team player ready to make an impact

Why Join?

• Work at the forefront of regulatory transformation
• Collaborate with experienced risk professionals
• Play a key role in shaping data-driven decision-making
• Hybrid working & supportive environment

Ready to elevate your risk career? Apply now or message us to learn more!

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