

(Senior) Manager - Risk & Data Transformation in Banking
(Senior) Manager - Risk & Data Transformation in Banking
This job in a nutshell
Make an impact by driving innovation and delivering insights to our clients through your expertise in data management, generative AI and risk management. At Deloitte.
Benefits
- You’ll receive a profit-sharing bonus, on top of your fixed salary.
- Continuous professional growth. Join our development program.
- A work-from-home office setup allowance to make sure you have everything you need for an ergonomically designed workstation and internet allowance.
- Work part-time (32 hours a week) or full-time (40 hours a week).
- Flexible and hybrid working, in accordance with team and client commitments.
- 26 days of paid annual leave, and the opportunity to purchase additional leave.
- A good mobility scheme: the choice of various options such as a lease car, travel by public transport, a cash option or a combination of these.
- A laptop and iPhone. The iPhone can also be used for personal purposes.
- A good pension scheme with a personal contribution of only 2%.
- An opportunity to take part in our collective health insurance scheme.
- An opportunity to benefit from tax-efficient facilities such as company fitness, a bicycle scheme or the opportunity to lease a bicycle.
- The opportunity to use 55 hours of babysitting service per calendar year if your child is 12 years old or younger.
- A flexible budget, which you can use to make choices in flexible benefits, for example purchasing extra leave days or financing a bicycle plan.
- Various leave options tailored to meet your individual needs, from parental leave (also for rainbow families) to the flexibility of exchanging three national holidays for non-national holidays.
Be the true you
You communicate complex ideas and analyses effectively and adapt readily to change. Above all, you feel confident being yourself—bringing your strengths, perspective and personality to your work. As a (Senior) Manager, you also have:
- More than eight years’ consulting experience in financial services, with a particular focus on banking.
- Extensive experience in data management, analytics and AI, technology, project management, technology trends and data modelling, as well as working with SQL and/or Python.
- A professional approach to working with your team and clients, a strong sense of responsibility, ambition and a commitment to personal development.
- Excellent communication skills in English and Dutch, enabling you to build professional relationships with clients and colleagues from diverse backgrounds.
What impact will you make?
As a (Senior) Manager in the Regulatory Data & Reporting team, you will lead end-to-end transformations that bring together data, governance and regulation. You will understand the complexities of business, financial and risk data in financial services and turn that knowledge into practical solutions, data architectures and programmes.
You will work closely with stakeholders at every level to translate requirements into action, ensure deliverables are met and mitigate compliance risks. You will also develop new service offerings, expand commercial opportunities and coach junior team members, combining technical expertise with strong stakeholder management and change management skills. You will actively promote responsible, ethical data practices while continuing to develop your own expertise.

Together makes progress
Connect your future to Deloitte
How do you do this?
- Bring extensive, demonstrable experience and a strong network in financial services—preferably banking—to the delivery of data-driven projects prompted by changing laws and regulations, including RDARR/BCBS 239.
- Build and lead high-performing teams to generate data-driven insights and deliver complex transformations together.
- Design and implement end-to-end data value chains that meet banks’ regulatory and business data needs across sustainability and ESG, prudential reporting, financial and operational risk, and strategic data initiatives.
- Develop service offerings and lead transformation programmes covering data, data architecture, data modelling, data management, Data Mesh and Data as a Product. Familiarity with analytics, cloud technologies (Azure, Collibra, Google Cloud and AWS) and AI technologies (such as ChatGPT) is an advantage.
- Identify commercial opportunities with existing and prospective clients and turn them into concrete proposals.
- Work effectively in international, multidisciplinary teams in fast-changing project environments, lead teams and actively share your knowledge with colleagues.

We would like to meet you!
Our application process
Select one of the steps for more information
Step 1: Preparation
Step 2: CV and motivation
Step 3: The assessment
Step 4: The interview
Step 5: The offer
Questions or doubts? Get in touch.

Marko Krunic
Recruiter








