Credit Risk Modeller

Datalink Recruitment Ltd; Madrid; On-site; EUR 60,000 - 90,000; Full time

Job summary

Datalink Recruitment Ltd in Madrid is seeking a quantitative analyst to develop IFRS9 and IRB credit risk models for major banking clients across Europe. You’ll work closely with clients, presenting analyses and shaping decisions at senior levels to influence risk management and capital allocation.

The role emphasizes hands-on model development, time-series techniques (PD, EAD, LGD, ECL, scorecards), and clear explanations of complex results.

Qualifications

• Hands-on model development in credit risk (IFRS9/IRB) and time-series methods.
• 2+ years as quantitative analyst or data scientist.
• Experience with PD, EAD, LGD, ECL, scorecards.

Responsibilities

• Develop IFRS9 and IRB credit risk models with clients.
• Present analyses and influence decision-making at senior levels.
• Advise on regulatory and strategic risk considerations.

Skills

Analytical skills

Quantitative modelling

Client communication

Regulatory knowledge

Tools

Python

SAS

Job description

You’ll sharpen your credit risk modelling skills with hands-on development of IFRS9 and IRB models for major banking clients across Europe. You’ll be advised and supported by some of the best minds in the space, giving you direct exposure to advanced modelling techniques and regulatory frameworks.

Alongside that, you’ll build your reputation as a recognised expert in the field. You’ll work directly with clients, presenting your analyses and influencing decisions at senior levels. This gives you the chance to develop your communication and consulting skills, which are crucial for long-term career progression.

And there’s a clear path forward. As you build your expertise and client portfolio, you’ll move steadily toward senior and lead positions, with increased responsibility, influence and reward.

What you’ll do

You’ll create credit risk models such as IFRS9 and IRB, working closely with banking clients to develop and implement solutions that meet their regulatory and strategic needs. You’ll apply your quantitative skills to shape models that impact credit decisioning, risk assessment and capital allocation.

You’ll also consult with clients, explaining complex analyses in a clear, practical way. This client-facing element will help you build credibility and influence in the industry.

What you’ll need

• Strong analytical and quantitative background, with hands-on experience in model development
• At least 2 years of experience as a quantitative analyst or data scientist.
• Experience in credit risk and time series modelling such as PD, EAD, LGD, ECL, scorecards etc
• Strong coding skills (Python or SAS)

About the company

One of the best thought of consultancies out there with a fantastic reputation for thought leadership in Credit Risk and huge scope for progression

You can also connect with me (Simon Brown) on LinkedIn