Agentic AI Data Scientist – KYC & Wholesale Banking
AI in this role
Build the Next Generation of AI Agents for Wholesale Banking
At ING Wholesale Banking, we're applying Agentic AI to one of the most complex challenges in financial services: KYC (Know Your Customer).
As part of ING Analytics Wholesale Banking, you'll build intelligent systems that extract information, assess completeness, resolve entities, and support risk-based decision-making while meeting the governance and compliance standards required in global banking.
The Challenge
This role combines Agentic AI, machine learning, entity resolution, and graph analytics to solve complex KYC challenges for ING's corporate and institutional banking clients.
You'll work within a cross-functional squad to design, develop, validate, and deploy scalable AI solutions that support KYC processes across ING's international operations. Unlike many AI roles focused on generic automation, you'll work on high-impact problems where accuracy, auditability, and trust are critical.
Work Model
At ING Hubs Türkiye, flexibility is more than a benefit — it's part of how we work.
Our hybrid working model is designed to balance collaboration, innovation, and personal flexibility. Team members typically come together in our Vadistanbul office for two days per week during three weeks of the month, while one week each month is fully remote.
We also offer additional flexibility during August, allowing colleagues to work remotely throughout the month.
As part of a globally distributed organization, you'll collaborate with colleagues across multiple ING locations while contributing to large-scale AI initiatives that create impact across the bank.
What You'll Build
You will contribute to:
- Agentic AI solutions that automate KYC workflows and decision-support processes.
- Multi-agent systems built using modern orchestration frameworks such as LangGraph, CrewAI, AutoGen, Google ADK, or similar technologies.
- Document understanding and information extraction solutions.
- Entity resolution and corporate ownership discovery capabilities.
- Network and graph-based analytics supporting risk and compliance investigations.
- Machine learning solutions applied to complex banking datasets.
- AI systems developed in line with ING's model governance and compliance standards.
About You
We hire smart people like you for your potential. Our biggest expectation is that you'll stay curious. Keep learning. Take on responsibility. In return, we'll back you to develop into an even more awesome version of yourself.
You likely bring:
- 3+ years of experience in Data Science, Machine Learning, AI, or a related field.
- Experience working with Agentic AI and LLM-based solutions.
- Hands-on experience with at least one agent orchestration framework such as LangGraph, CrewAI, AutoGen, Google ADK, OpenAI Agents SDK, or similar technologies.
- A degree in Mathematics, Physics, Computer Science, Engineering, Econometrics, or a related field (MSc or PhD is a plus).
- Strong Python skills.
- Solid understanding of machine learning techniques, from classical models to modern neural networks.
- Experience applying Data Science methods to real business problems.
- Interest in information extraction, entity resolution, graph analytics, and network analysis.
- Strong communication and stakeholder engagement skills.
Experience in Wholesale Banking, KYC, AML, financial crime, model governance, or regulated industries will be considered an advantage.
Where This Role Can Take You
This role offers an opportunity to deepen expertise in:
- Agentic AI engineering
- Multi-agent system design
- Entity resolution and graph intelligence
- KYC automation
- Wholesale Banking analytics
- Responsible and governed AI
You'll work on one of ING's most strategic AI capabilities while contributing to solutions used across multiple countries and business domains.
Equal Opportunity
Don't meet every single requirement? Don't let that hold you back. Studies show many talented professionals hesitate to apply unless they meet every qualification. If you're excited about this role and believe you can make an impact, we'd love to hear from you.
What We Offer at ING Hubs Türkiye
At ING Hubs Türkiye, we believe that your work should be fulfilling in every way. We pay attention to even the smallest details to ensure that your experience is rewarding.
Be Yourself, Be an ING'er
- Welcome Leave: Enjoy 14 days of welcome leave, even in your first year
- Career Opportunities: Self-driven career paths and international opportunities
- Personal Growth: Challenging work and continuous development
- Dynamic Environment: Informal, vibrant, and collaborative culture
- Innovation Culture: Explore and apply PACE methodology
- Global Exposure: Participate in international projects and communities
- Communication & Celebrations: Various communication activities and celebrations
- Health Care: Comprehensive private health insurance for you and your family
- Private Pension Plan
- Meal Card
- Transportation Allowance
- MultiSport Membership
- English Language Development Support
- Remote working opportunities throughout August
How to Apply
Click the application button on our careers page and submit your application through Workday.
About ING
With 65,000 employees and operations in approximately 40 countries, there is no shortage of opportunities for people with initiative who want to help people take a step ahead in life and in business.
Do you want to work at the cutting edge of what's possible and at the same time ensure you work with integrity and hold the customer's interests at heart? Do you want to be surrounded by progressive, inspiring, diverse and supportive colleagues?
Then there is no better place to invest your talents than at ING.
Join us. Apply today.
About ING Hubs
Following ING's strategic ambition to deliver a superior experience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated expertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.
Present in Poland, Romania, Slovakia, the Philippines, Türkiye and Spain, ING Hubs employ more than 13,000 professionals in domains such as software development, data management, operations and non-financial risk.
Discover ING Hubs Türkiye
ING Hubs Türkiye is looking for talents to join an international network of professionals. Building on an existing framework and shared mission, our up-and-coming team will bring its unique personality and skills set to provide borderless services with bank-wide capabilities.
We value strong work ethics, knowledge sharing and flexibility in our way of working – it is both our promise to you and what we look for in new colleagues.
Let's meet!
How we score this
Agentic AI Data Scientist – KYC & Wholesale Banking at ING scores 89 out of 100 for how much of the daily work is AI. That makes it AI Level 4 of 4 (Builds AI). The level is about AI in the job, not seniority.
AI Level 4. Building AI systems is the job itself: without AI, the role would not exist.
- AI Level 480 to 100
- AI Level 360 to 79
- AI Level 240 to 59
- AI Level 10 to 39
Bands come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Walk me through how you've used OpenAI in your day-to-day work.
- What are the limits of LangGraph that you've run into, and how did you work around them?
- What's a project where you used CrewAI hands-on?
- Walk me through how you've used AutoGen in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI Agents, OpenAI, LangGraph, CrewAI, and AutoGen. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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