At ING we encourage you to `Do Your Thing` to do more of what you love. We’re on a journey that’s centered around our customers, powered by technology and digital environment, driven by smart, determined people. Our customers feel our people are empowering them to stay a step ahead in life and in business. We’re proud of that!

We want you to discover and develop yourself while developing others, be creative, be successful, excel at your career life, work agile so new ideas come to life faster! Interested?

What We Offer:

At ING, we believe your work should inspire and fulfill you. That’s why we prioritize every detail to ensure you have an exceptional experience:

You First Become Your True Self, Then an INGer:

• Flexible and hybrid working models, including remote options every third week of the month and during summer.
• 14 days of welcome leave in your first year—don’t wait to pursue your dreams!

Continuous Growth and Development:

• Access to global and local learning opportunities through ING Academy, LearnUp, and certification programs with leading universities.
• Opportunities to contribute to innovative projects both locally and globally while advancing personally and professionally.
• Flexible career experiences await you through Short-Term Assignments (STA), Long-Term Assignments (LTA), Mini Career opportunities, Double Major (Çifte Kariyer), Turuncu Misafir, and Global STA/LTA programs, designed to enhance your skills and broaden your experience across different teams, departments, and international locations.
• When you step into a managerial role at ING, our exclusive RISE Leadership Program empowers you to lead with confidence. Centered around technology and people, RISE equips ING leaders with advanced skills and a strategic mindset to navigate and thrive in a dynamic environment.

A Dynamic and Supportive Work Environment:

• An informal and collaborative culture where your ideas and innovations are valued.
• Social clubs, celebrations, and events to help you balance work and fun.

We Care About You:

• Comprehensive health insurance for you and your loved ones.
• Private pension plans to help you achieve your future goals.
• On-site amenities like a gym, coffee shops, a hairdresser, and more to simplify your daily life.

At ING, we’re dedicated to helping you achieve your goals by embracing flexibility, growth, and innovation.

For more information about our Orange Culture, click here now:

https://www.youtube.com/watch?v=UBSGOJBnuyc

What we do;

At ING Türkiye, we leverage the power of data science and advanced analytics to create impactful solutions across various domains. Our teams are at the forefront of driving AI transformation in the bank by:

• Building analytical models to optimize business processes, such as operations, credit risk management and customer engagement
• Partnering with different departments to identify and execute data-driven projects
• Developing and deploying advanced analytical solutions for standardized model development processes
• Exploring cutting-edge technologies such as computer vision or generative AI to innovate in customer experience and internal operations
• Collaborating with data engineering teams to create robust data pipelines and scalable infrastructure
• Working closely with international stakeholders while safeguarding our models and ensuring full regulatory compliance

If you think you have most of the following qualifications;

• 6 + years of data science / machine learning experience and at least 1 year leading multidisciplinary teams
• Deep expertise in XGBoost, LightGBM and similar algorithms for classification problems
• Knowledge in computer vision (CNN and Transformer based models)
• Hands on experience with GenAI innovations, including RLHF/Fine Tuning, LangChain and RAG architectures
• Advanced English to manage collaborations with counterparts outside ING Türkiye
• Preferably AI or risk analytics experience in the finance / banking sector

If you think you may take charge of the following responsibilities;

• Lead and develop a 10‑15‑person talent team with diverse skills and domain expertise (35 % of overall mandate)
• Stakeholder management: key interface with model owners, model‑risk management, regulators and Executive Committee presentations (10 %)
• Design, scale and monitor ML models that support Ops, credit‑risk outside the regulatory framework (10 %)
• Build document‑automation and visual‑analytics solutions (Computer Vision / OCR) that accelerate operational transformation (15 %)
• Productize in‑house LLM fine‑tuning and code‑generation solutions while overseeing risk standards (30 %)

If you want to do your thing and explore the life while working don’t miss this opportunity!

Candidates are expected not to share any sensitive personal data.