Quantitative Risk Modelling (Senior) Consultant – AI / ML – FinTech Consultancy – Amsterdam Quantitative Risk Modelling (Senior) Consultant –  …

in Amsterdam, Noord-Holland, Netherlands
Permanent, Full time
Last application, 22 Oct 20
€55k - €75k + bonus + excellent fringe benefits
in Amsterdam, Noord-Holland, Netherlands
Permanent, Full time
Last application, 22 Oct 20
€55k - €75k + bonus + excellent fringe benefits
Posted by:
Boudewijn Vellinga • Founding Partner | Search & Recruitment | Repositioning Talent
Posted by:
Boudewijn Vellinga
Founding Partner | Search & Recruitment | Repositioning Talent
A leading global consulting firm known for its strong presence in Finance, Analytics, GRC and the IT Consulting space with a diverse set of local and international clients, is keen to hire a Quantitative Risk Modelling Consultant/ Senior Consultant - to support the continued growth of the firm.

The group has grown rapidly in terms of their activities, track record and presence and has succeeded in breaking new ground with their innovative business model within the following consulting solutions;

• Technology;
• Business process;
• Analytics;
• Risk;
• Compliance;
• Transactions and Internal Audit.

With over 4000+ professionals, the firm strives to serve clients through their own network with a global presence in 20 countries across 80+ offices.

Top Workplaces:

Consistently featuring in top workplaces to work for and best consulting firms lists by Forbes, the firm is known for
its entrepreneurial and autonomy driven work culture.

The Consultancy distinguishes itself by projecting the following values:

1. Real and substantive knowledge
2. Listening to the customer and looking for the solution together instead of slightly adjusting its 'own' model and
pushing it into the organization (which sometimes seems to be the case with other Consultancies)
3. Jointly (with the customer) putting together a solution, so that the solution is a more permanent one
4. Soft skills - involved, friendly, authentic and professional

About the role

The key element of this role is strong Risk Modelling experience- to support the continued growth of their Risk Modelling desk and related projects. This role will be within the firm’s GRC Governance, Risk and Compliance which is known for its experienced Consultants and cutting-edge solutions enable organizations to cost-effectively
manage risks initiatives and controls.

Entrepreneurial Set-up and Autonomy- This role is best suited for Quantitative Risk professionals with an entrepreneurial mind-set as Consultants/ Senior Consultants can opt/ choose their own “Project Sponsor”, translating into greater autonomy in deciding the kind of projects they would like to work on.

Steep Learning Curve & Bigger Leadership roles- The respective Quantitative Risk Management Consultants/ Senior Consultants have the freedom to lead respective Risk focused projects (in line with their experience and expertise) and have a greater flexibility in driving the project with their vision.

Client Interface and Exposure- This role is a front-end, client facing opportunity. Depending on your seniority and experience you have the liberty to build your client network and develop relationships with client personnel and professional associates. You will also be able to communicate clearly and gain the trust of your clients. This gives you an opportunity to create your own niche within the GRC desk in line with your entrepreneurial outlook.

Prolific Clientele- Due to the diverse and expansive set of clientele of the GRC desk, the consultants work for market and industry leaders, Global Conglomerates & Multinationals as were as specialised Boutique firms across industries. There is an element of Internal Audit also involved in this role. As a trend, Clients are increasing requesting internal audits due to the dynamic nature of their business and changing ECB regulations among other factors. With these changing market dynamics, internal audit is in many companies is often elevated from pure compliance to a function that regularly reviews the risk profile for emerging risks and identifies trends as it keeps its finger on the pulse of business performance and is hence more content driven

3rd LOD:

The third line of defence in Risk Management needs to know more and more about the business for these Audits to be in line with the ECB guidelines. The firm keeps up with these trends and requirements via data modelling focused auditing using technologies like Artificial Intelligence and Machine Learning.

Prospective Quantitative Risk Consultants/ Senior Consultants don’t need to come with knowledge on Internal Audit/Assurance space, rather they can be trained on the job for the same.

Soft skills
In terms of the personality traits required for this position, quantitative professionals with an inquisitive and proactive mindset would be ideal for the role. They would be given complete autonomy and the right infrastructure to facilitate developing and streamlining the desk to have more Quantitative, Artificial Intelligence and Machine Learning concentrated projects. A long-term vision and foresight to understand emerging state of the art technologies and incorporating them, would also be an important element of the soft skills needed for this opportunity. Another essential part of this role is the commercial mind-set and fluent Dutch (written and verbal) abilities as this professional will be liaising directly with their prolific clientele and representing the Consultancy.


• Quantitative analysis and review of model frameworks, assumptions, data, and results
• Designing, modelling and prototyping challenger models when required • Continuous interaction and collaboration with stakeholders from a wide range of internal business areas, internal and external audit as well as supervisory authorities
• Testing models numerical implementations and reviewing documentations
• Checking the adherence to governance requirements

• Documentation of findings invalidation reports, including raising recommendations for model improvements

• Ensuring models are validated in line with regulatory requirements and industry best practice
• Tracking remediation of validation recommendations

• Quantitative Study, examples include:

Statistical Languages:

• R
• Phython

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