Senior Consultant – Quantitative Risk Modelling

Finalyse; Amsterdam; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Healthcare

Pension

Hybrid/Remote options

European travel

Job summary

Finalyse in Amsterdam seeks a Senior Consultant in Quantitative Risk Modelling to join Risk Advisory and support banking clients across the full model lifecycle—from design to validation.

You will advise on credit risk, IFRS 9, Pillar 2, stress testing, and economic capital, while mentoring juniors and contributing to client projects.

This role offers hybrid working, European travel opportunities, and a pragmatic, growth‑oriented team environment.

Qualifications

• Master's degree in a quantitative field.
• 4-5 years of experience in Financial Services (banking).
• Knowledge of risk management frameworks (Economic Capital, Risk Appetite, Stress Testing).
• Good command of SAS, Python or R; strong communication skills in English.

Responsibilities

• Participating in or leading engagements in quantitative risk modelling for banking clients.
• Developing and validating credit risk models (PD, LGD, EAD/CCF, ECL).
• Participating in model validation assignments and providing recommendations.

Skills

Quantitative analysis

Python

R

SAS

Model validation

Education

Master's degree in econometrics/physics/mathematics/applied economics

FRM or PRM certification (advantage)

Tools

SAS

Python

R

Job description

At Finalyse, for over 35 years, we have supported (re)insurance and banking clients in navigating changes and embracing innovations in valuation, risk management, and regulatory compliance. Our commitment to contributing to a sustainable and resilient financial system drives us every day. We empower our talented consultants to design and implement efficient, pragmatic solutions, fostering a collaborative spirit with partners and clients. Our unique blend of financial and technological expertise has been the cornerstone of numerous successful projects and enduring relationships.

We embrace diversity at Finalyse, recognising the unique strengths everyone brings, and we are committed to creating an inclusive working environment that respects diverse beliefs and backgrounds.

THE ROLE

We are seeking a Senior Consultant in Quantitative Risk Modelling to join our Risk Advisory practice and support banking clients across a broad range of quantitative models. In this role, you will be involved throughout the full model lifecycle, from design and methodological development to implementation, testing, and independent validation.

You will advise banking clients on quantitative risk modelling, including credit risk, IFRS 9 provisioning, Pillar 2 modelling frameworks, stress testing, economic capital modelling. Senior team members also mentor colleagues and coordinate projects.

You will work on a wide spectrum of models, including credit risk (PD, LGD, EAD/CCF), IFRS 9, Economic Capital, and Pillar 2 models such as concentration risk, operational risk, and other non-Pillar 1 risks. Your work will help ensure that models are technically robust, well governed, and fully aligned with regulatory and supervisory expectations.

As a Senior Consultant, you will contribute to complex quantitative projects and collaborate closely with clients to translate analytical insights into practical, risk-informed decisions. This role combines strong quantitative expertise with applied problem solving, enabling banks to rely on accurate, transparent, and well-governed models for decision-making and regulatory compliance.

RESPONSIBILITIES

• Participating in or leading engagements of our Risk Advisory practice in the quantitative area for our banking clients.
• Assisting our clients in the modelling of their credit risk models: PD, LGD, EAD/CCF, ECL, from model design to model implementation while using the most advanced technologies or software packages.
• Participating to model validation assignments and provide our clients with adequate recommendations to improve their models and related processes.
• Depending on your experience, working as a member of our team of talented individuals or coordinating the workload in various projects while coaching more junior staff.
• Being involved in non-regulatory modelling activities: Machine Learning, AI, Data analytics related projects.
• Building and maintaining close relationships with clients.
• Participating in business development initiatives and internal projects.
• Raising and promoting the company's image in the financial industry through publications in the Regbrief and participation in external conferences and networking events.

REQUIREMENTS

• Master's degree in econometrics, physics, mathematics, or applied economics with an academic track record in a quantitative field.
• A certification like FRM or PRM would be an advantage.
• At least 4-5 years of experience in Financial Services in the banking sector.
• Familiarity with risk management frameworks (Economic Capital, Risk Appetite, Stress Testing.
• Good hands-on experience in the following areas: model development or model validation etc.
• Relevant regulatory knowledge (e.g. CRR, CRD, IRB, IFRS9 etc.)
• Good command of specific packages like SAS, Python or R.
• Ability to work autonomously in a result-oriented environment.
• Very good communication, writing and presentation skills in English (Dutch is a plus).

WHY FINALYSE

• A meaningful role and mission contributing to the stability and responsible innovation of the financial sector.
• A diverse, multinational team of talented specialists and senior experts, committed to sharing knowledge, supporting each other, and driving collective success.
• A clear and flexible career path, with the freedom to shape your own specialization and grow quickly in a flat, agile organization.
• Personalised development through tailored technical training, recognised certifications, and continuous learning.
• A healthy work culture and environment that values wellbeing, work–life balance, and sustainable consulting practices.
• Flexible ways of working with hybrid/remote options, trust-based autonomy, and openness to part-time arrangements.
• A competitive compensation and benefits package, including healthcare, pension, and sustainable mobility options, etc.
• International exposure and opportunities to travel and work with clients and colleagues across Europe and beyond.
• Innovation and thought leadership opportunities, including internal initiatives, research groups, and access to modern tools and structured methodologies.