1 week ago

AI Consultant – Financial Services & Risk

Zanders

Utrecht

1 week ago

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Zanders is hiring an AI Consultant for its Financial Services & Risk practice in Utrecht, delivering production-grade GenAI solutions for banks, insurers and financial institutions across Europe. The role spans building LLM systems, AI governance and client advisory, with openings at Senior Consultant and Manager level. Candidates need hands-on LLM delivery experience, strong Python skills, and cloud AI/ML infrastructure expertise, ideally in a regulated industry.

Core AIOn-siteFull-timeSeniorLLM SystemsFine-tuning

AI Consultant – Financial Services & Risk

Apply

Core AIOn-siteFull-timeSeniorLLM Systems

Salary

Not specified

Work Location

Utrecht, Utrecht, Netherlands, NL

Work Model

On-site

Experience Required

9 years

Employment Type

Full-time

Experience Level

Senior Consultant: 3-6 years; Manager: 6-9 years

Core Qualifications

Technical (Must-have)

LLM systemsFine-tuningRAG architecturesAgent frameworksPrompt engineeringLLM evaluationPythonAzureDatabricksCloud AI/ML infrastructureAI risk policyModel risk managementAI ActWwftFinancial services

Soft Skills

CommunicationStakeholder managementOwnershipPlanningTrust buildingRelationship buildingPublic speakingKnowledge sharingLeadershipDelegationMentoring

Preferred Qualifications

Technical (Nice-to-have)

MathematicsPhysicsComputer scienceEconometricsEngineeringAMLFraud detectionTransaction monitoringDutch

Key Responsibilities

•Design and implement GenAI solutions for clients — agent frameworks, RAG architectures, fine-tuned models and LLM tooling that has to hold up in production
•Help clients manage the risks of the AI systems they are building or buying: writing AI risk policy, validating LLM-based systems, and translating the AI Act, Wwft and model risk requirements into practical guidance
•Shape client strategy on where and how to deploy GenAI — assessing model landscapes, defining implementation roadmaps, and recommending architectures that are production-ready and defensible to a regulator
•Take ownership of your workstream: plan the work, keep quality and timelines on track, and raise risks early
•Balance concurrent engagements, planning ahead and adjusting when client priorities shift
•Work directly with client stakeholders — explaining technical decisions to the people who will be accountable for them, and building trust as the work develops
•Build relationships with the client teams you work alongside, and notice where Zanders could help them further
•Help define the discipline publicly: write, present and speak
•Share what you work out internally
•Contribute to internal initiatives and to a team culture people want to be part of
•At Manager level: lead engagements end to end, own the client relationship, and take accountability for commercial outcomes including origination
•At Manager level: lead the consultants on your projects — set clear direction, delegate, support their development, and safeguard a healthy workload across the team

AI ConsultantGenAIFinancial ServicesRiskLLMPythonAzureDatabricksSenior ConsultantManager

Core Qualifications

Technical (Must-have)

LLM systemsFine-tuningRAG architecturesAgent frameworksPrompt engineeringLLM evaluationPythonAzureDatabricksCloud AI/ML infrastructureAI risk policyModel risk managementAI ActWwftFinancial services

Soft Skills

CommunicationStakeholder managementOwnershipPlanningTrust buildingRelationship buildingPublic speakingKnowledge sharingLeadershipDelegationMentoring

Key Responsibilities

•Design and implement GenAI solutions for clients — agent frameworks, RAG architectures, fine-tuned models and LLM tooling that has to hold up in production

•Help clients manage the risks of the AI systems they are building or buying: writing AI risk policy, validating LLM-based systems, and translating the AI Act, Wwft and model risk requirements into practical guidance

•Shape client strategy on where and how to deploy GenAI — assessing model landscapes, defining implementation roadmaps, and recommending architectures that are production-ready and defensible to a regulator

•Take ownership of your workstream: plan the work, keep quality and timelines on track, and raise risks early

•Balance concurrent engagements, planning ahead and adjusting when client priorities shift

•Work directly with client stakeholders — explaining technical decisions to the people who will be accountable for them, and building trust as the work develops

•Build relationships with the client teams you work alongside, and notice where Zanders could help them further

•Help define the discipline publicly: write, present and speak

•Share what you work out internally

•Contribute to internal initiatives and to a team culture people want to be part of

•At Manager level: lead engagements end to end, own the client relationship, and take accountability for commercial outcomes including origination

•At Manager level: lead the consultants on your projects — set clear direction, delegate, support their development, and safeguard a healthy workload across the team