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Pricing Data Scientist at ING Romania – pricing optimization, model governance in Retail Banking.
Collaborative hybrid work environment focused on analytical impact and career growth.
Mission
At ING, we believe in giving people the freedom to grow, explore, and build what matters to them. Analytics plays a key role in making that possible - by turning data into insights that help our customers, our colleagues, and our business make better decisions every day.
As part of ING’s Analytics community, you will work in an open, supportive setting that values curiosity, ownership, and autonomy, where people are trusted to take responsibility, challenge ideas, and grow - while building analytics solutions that truly matter.
About the team
You’ll join a deeply analytical team within Retail Banking, focused on turning complex data into clear, actionable insights. The team combines deep analytical expertise with strong business understanding, focusing on high‑impact use cases such as pricing optimization, customer behaviour modelling, and scenario simulations. The environment is collaborative, insight‑driven, and strongly oriented toward real‑world deployment and governance‑ready analytics, not just experimentation.
Your day‑to‑day
As a Pricing Data Scientist in an Agile Way of Working, you will contribute to the squad’s purpose by owning end‑to‑end pricing analytics topics.
In this role, you will:
- Design, build, and govern value‑based pricing models for retail banking products, supporting both Assets and Liabilities growth (lending, deposits, daily banking).
- Develop loan‑level valuation models (NPV, Economic Profit, RoE) using full cash‑flow logic across the product lifecycle.
- Incorporate embedded options (e.g. prepayment behaviour, repricing features, offer periods) into pricing and valuation logic.
- Integrate funding, risk, capital, and tax components (FTP, Expected Loss, capital usage) in line with ING’s global risk‑based pricing principles.
- Build customer behaviour models (price elasticity, discrete choice, uplift) to quantify price sensitivity and competitive win probability.
- Develop optimization logic and decision rules that recommend price points or price bands balancing expected balance volume, margin, and RoE under defined constraints (risk appetite, governance).
- Run scenario simulations and experiments (A/B tests, pilots) to assess margin–volume trade‑offs and market dynamics.
- Operationalize models on the analytics platform (e.g. DAP / GCP), including monitoring, drift detection, and periodic recalibration.
- Ensure full model governance: documentation, validation packs, iModel registration, and remediation of validation findings.
- Collaborate with cross‑functional teams (Product, Pricing, Risk, Finance, Operations) to align on strategic directions and embed analytics into pricing decisions and approvals.
What you bring to the team
Education & Experience: Master’s degree in a quantitative field (Mathematics, Statistics, Economics, Finance, Computer Science) and 3–6+ years of experience in data science, pricing, lending analytics, or revenue management.
Advanced Analytics & Modelling: Strong experience with Python (and PySpark), production‑grade ML models, and advanced techniques such as elasticity modelling, discrete choice, uplift, constrained optimization, and experimentation.
Financial & Risk Acumen: Solid understanding of funding & liquidity, expected loss, capital usage, and RoE steering — with the ability to translate these into pricing logic and explain results transparently.
Ownership & Collaboration: Ability to independently frame complex business problems, work in cross‑functional Agile squads, and take ownership from problem definition to production and governance.
Communication & Storytelling: Strong communication skills, capable of explaining complex analytical trade‑offs to both technical and non‑technical audiences.
What we offer
- Impactful work in a fun, inclusive and highly collaborative environment.
- Modern, open office spaces built for teamwork and creative work.
- A collaborative, inclusive, and high‑performing analytics community.
- Hybrid working model with flexibility baked in.
- Monthly benefit budget and extra vacation days based on experience.
- Continuous learning through ING Learning Centre, Udemy, Bookster, trainings, and certifications
- Internal mobility opportunities across ING worldwide, including short- and long‑term international assignments.
- Opportunities to contribute to sustainability and CSR initiatives.
Job Application Safety Reminder
We’re seeing an increase in fraudulent job offers. To protect yourself, please:
- Apply only via official ING platforms . ING uses Workday as its recruitment system.
- Verify the sender’s email — it should only come from @ing.com or @myworkday.com .
- Know that ING will never request payments or banking details during the recruitment process.
How to apply
Click “Apply” on our careers site and submit your application through Workday . We’re excited to meet you!
Discover ING Bank Romania
ING believes in a world where everyone has the right to grow and progress in their own way. We express this in our global tagline, “do your thing”. Perhaps more than in any other large company, we extend our belief in the power of autonomy to our own people. But there’s a catch. In return for great freedom, we expect people to do great things for our customers, our stakeholders, and ING at large.
To work here is to be surrounded by people who are energetic, ambitious, friendly and respectful: talented specialists who take responsibility and autonomy to make great things happen. We stay curious, thrive on change, and seek new and better ways to make it happen. Active in Romania for 30 years, ING Bank pioneered and challenged the local banking industry. Technology and innovation are at the core of what we do, making our products relevant for our customers’ lives and businesses.
ING Bank Romania is the only bank with an organic growth within the top 10 local banks by assets, without acquisitions of client portfolios or other banks. ING Bank Romania is an universal bank with more than 1.9 million customers from three business segments: individuals (retail), SME and Mid-Corporate companies and Wholesale Banking.