Data Scientist

OP Corporate Bank – is part of OP Finance Group, the leading financial services group in Finland, which has been named the strongest bank in Europe and the 8th strongest bank in the world. OP CORPORATE BANK for several years has been one of the fastest growing corporate banks in Lithuania – currently is looking for a new professional to join the team in Vilnius.

Position

You will be one of the 3 team members in Lituania who will be working with advanced analytics. You will be collaborating with your Finnish colleagues on various projects regarding process automatisation and new solution development. Your responsibilities in this position will include:

• Participate and contribute to the end-to-end process of the development of tools supporting automatisation effort within the risk models unit.
• Prepare documentation of the developed tools and contribute to the training of the risk analysts in using them.
• Participates in other development or analysis tasks related to risk management.
• Contribute to the methodologies and frameworks development within risk models unit.
• Support high coding quality standards within the team by peer reviewing.
What’s in it for you?
• Personal and professional growth in a Scandinavian Group culture.
• Work with one of the leading cloud environments for data science workflows - DataBricks/AWS.
• Journey together into advanced machine learning model development for credit risk estimation.
• An energetic and vivid team where members support each other in learning new things and achieving goals.
• Business trips to Finland.
• Salary from 3000 to 4500 EUR Gross and additional benefits package (health insurance, subsidized lunches, budget to attend cultural events, parking space etc.).
The ideal candidate has
• 2 years of experience in the area of quantitative analysis and modelling.
• Experience in credit risk modelling would be an advantage.
• Proven ability in coding with Python.
• Proven ability to maintain, create and retrieve data using SQL.
• Proven ability to work with version control system Git.
• Practical experience in documentation and presentations, and proven ability to adapt internal guidelines to deliverables.
• Practical experience in statistical and mathematical methodologies.
• Proven ability to interpret internal and external requirements, and modelling procedures, and adapt them to practice.
• Fluent in written and spoken English.

Apply, if you’re interested. Contact us via email rugile@peoplelink.lt with an attached resume and we will be in touch with you. Confidentiality is guaranteed. Only selected candidates will be contacted.
Data Scientist