Data Scientist/Developer | SEB, Vilnius

At the forefront of financial innovation, are you ready to shape the future of banking by building a new product line using cutting-edge data science and Python? Join us to transform complex financial data into predictive insights.

With technology as our driving force, we provide world-class services to SEB group customers and business divisions in 20 sites worldwide. With us, you'll be part of a dedicated team of several thousand employees who constantly work towards improving business development and growth. Do you want to work at the interface between ground-breaking technology and a world of financial flows? Welcome to SEB Global Services!

About the role:

You will be instrumental in developing a new product line, applying your expertise to vast amounts of data through advanced data modeling. This includes performing future prediction simulations, notably Monte Carlo simulations, to anticipate market trends. Your strong experience in finance combined with robust Python development skills will be essential. We value cloud infrastructure knowledge, especially with Google Cloud Platform. Success in this self-driven role requires strong communication and collaboration skills in English.

To succeed in this role, you bring:

• Strong experience in quantitative modeling and simulation, with a clear focus on Monte Carlo methods applied to real-world problems (e.g., forecasting, risk analysis, scenario modeling, or pricing).
• Ability to design and interpret probabilistic models, including defining assumptions, distributions, and running large-scale simulations to evaluate outcomes.
• Solid understanding of financial concepts, with the ability to translate business questions into structured, simulation-driven analyses.
• Experience working with data for modeling purposes, including preparing, validating, and stress-testing datasets used in simulations.
• Good working knowledge of Python, sufficient to implement and run simulations efficiently (performance, reproducibility, clarity).
• Familiarity with cloud environments, ideally Google Cloud Platform, for running or scaling simulations when needed.
• A self-driven mindset: you take ownership of problems, define approaches, and iterate toward meaningful insights.
• Strong communication skills in English, especially in explaining uncertainty, assumptions, and results to non-technical stakeholders.
  
  

What will make you stand out:

• Experience applying Monte Carlo simulations in financial or business decision contexts.
• Ability to clearly communicate ranges of outcomes and risks, not just single-point estimates.
• Experience balancing model complexity with usability and decision impact.
  
  

What we offer:

• Entrepreneurial Scandinavian environment: work-life balance, international working environment, hybrid work model, empowering and welcoming culture
• Work-life balance
• Additional monetary benefits: paid seniority vacation and volunteering days, allocations to Your pension fund, profit sharing program, and additional health insurance
• Attractive compensation and benefits
• Modern environment: innovative company in forefront of technology, challenging, cutting-edge work, excellent office environment, agile and modern ways of working
  
  

Do you want to be a part of this team?

We are looking forward to your application by May 20th, 2026.

Since we select candidates continuously, feel free to send in your application via the link in this ad.

Learn more about working at SEB here: Technology | SEB

It is our fundamental belief that inclusion and diversity is crucial for our future success. We strive to have an inclusive, value-driven culture where employees feel valued, respected, and involved irrespective of who they are, what they believe or where they come from.

The above indicated range is the monthly salary range for this position before tax deduction. The final offer will depend on the experience and competencies of the selected candidate. Overall remuneration package consists of the salary together with other benefits.