GenAI Engineer Financial Services

Are you excited about driving innovation in digital transformation and technology consulting? Do you enjoy turning data into real business value? Whether you’re just starting your career or have years of experience, we’d love to hear from you!

From day one, you’ll have the opportunity to work on internal AI projects within our AI Lab, gaining hands-on experience with advanced solutions. Examples of projects we’ve delivered include AI-powered KYC & AML mastery, OKR performance management using multi-agent frameworks, and AI-equipped transformation office toolkits.

To support your growth, we offer an extensive AI training program, including specialized courses and certifications.

Our fast-growing portfolio of assignments within the financial sector will allow you to further develop as an expert. You’ll play a key role in shaping innovative solutions and inspiring colleagues across Projective Group with your knowledge and vision.

Learn more about our Data and AI Practices

We’ve launched the first edition of the Journal of Financial Services (JoFS), published by the Projective Group Institute. Download it for free at institute.projectivegroup.com.

Topics include: digital currencies, AI in payments, and cross-border regulatory challenges, ...

What will you do?

In this role you can expect a variety of tasks, including:

• Implement AI Solutions: Support the identification of AI use cases and assist in the creation, implementation, and integration of AI solutions into production systems.

• Data Management and Preprocessing: collect, clean, and preprocess large datasets, preparing them for model training and evaluation.

• Develop and Optimize Models: Design, train, and fine-tune machine learning models, ensuring their performance, scalability, and reliability for various applications

• Stay Updated & Innovate: Keep abreast of new developments in AI, big data, and related technologies to contribute to innovative solutions.

Your skills & qualifications:

• A Master Degree in Computer Science, Data Science, Mathematics,  Artificial Intelligence or a related quantitative field

• Fluent in English and Dutch or French

• You have professional experience in the domain of machine learning or generative AI

• You have a good understanding of large Language Models (LLMs) and Generative AI techniques and are familiar with libaries such as PyTorch, Scikit-learn and Pandas

• It’s a plus if you’re familiar with Data Engineering and MLOps: ETL, model deployment and monitoring

• You have a good knowledge of Python

• You can collaborate with cross-functional teams to translate business problems into technical AI solutions

• You enjoy exploring new technologies, staying updated with the latest trends, and understanding the functional side of things.

What can you expect from us?

At Projective Group, we believe in rewarding ambition and supporting growth—both professionally and personally. From a competitive benefits package to a vibrant company culture, we make sure you have everything you need to thrive.

• A competitive salary topped with a daily net allowance, meal - and eco vouchers.

• A flexible FIP budget for bike leasing, multimedia, or mobility expenses.

• A company car with charging setup. Prefer something else? Switch it up with a mobility budget, your call.

• €5.000 annual training budget to boost your growth. You choose how to invest it.

• A yearly company bonus, with additional referral and sales incentives.

• A hybrid work setup with flexible hours and part-time remote options.

• Regular fun events (from game nights to padel tournaments and everything in between) and a yearly group offsite abroad.

• An international setting with plenty of growth opportunities, serving top clients in the financial sector.

• A scale-up spirit with a can-do mentality, all within a solid and established corporate framework.

For more information, visit projectivegroup.com

At Projective Group, we celebrate diversity and inclusion. We are an equal opportunity employer and welcome candidates of all backgrounds, ethnicities, genders, religions, and abilities.

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