Experienced Data Scientist with Python skills for Credit Risk Models

Danske Bank Lithuania

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Description

Are you an experienced data scientist with strong Python skills and experience working at the intersection of data, business and stakeholders? Would you like to take ownership of credit risk and property valuation models used in a highly regulated banking environment? Join IRB Framework and contribute to improving our risk models at Danske Bank.

About the team

IRB Framework is part of Group Risk Analytics and is responsible for maintaining and operating Danske Bank’s Internal Ratings Based (IRB) models. Two dedicated teams cover the full suite of models: Probability of Default (PD), Loss Given Default (LGD), Conversion Factors (CF) and Asset Valuation Models (AVM).

You will join an international team working across Copenhagen and Lithuania, collaborating closely to deliver high quality analytical and technical solutions in a complex regulatory environment. The team works with a mix of recurring processes and analytical and development projects, where senior judgement, initiative and technical depth are key.

About the role

We are looking for an Experienced Data Scientist with Python skills who can take end to end ownership of tasks covering both hands on development, business and stakeholder-oriented analysis, while also contributing to model maintenance, improving efficiency in monitoring processes, documentation and regulatory communication. The role is well suited for someone who enjoys a wide spectrum of tasks: from monthly controls to model changes, combining technical work with coordination, communication and responsibility.

We are seeking two new colleagues to join our organization, one for the DoD/PD team and one for the LGD/CF/AVM team.

You will

Perform advanced analytical tasks, including extracting, transforming and interpreting data.
Rewrite and migrate existing processes and models from legacy technologies (e.g. SAS) to production grade Python, as well as develop and maintain new Python procedures.
Maintain and operate credit risk and property valuation models, including analysing and investigating incidents related to data, methodology and model behaviour.
Drive issues and improvements from problem identification through analysis, stakeholder dialogue and final implementation.
Communicate complex analytical and technical topics clearly to non technical stakeholders, including explaining model changes, assumptions and results.
Contribute to regulatory material and dialogue, including documentation and explanations of model changes towards internal governance and external authorities.
Mentor junior colleagues and sharing your technical, analytical and domain knowledge to improve the team overall.

About you

Have 5+ years of experience from a similar senior analytical, data science or business facing role.
Are comfortable working directly with Python, and can read, adapt and refactor existing code; experience with SQL is expected.
Hold a higher education degree in a quantitative field (e.g. economics, mathematics, statistics, engineering or physics).
Demonstrate the motivation to take initiative and drive complex tasks involving multiple stakeholders.
Communicate clearly and effectively and are able to translate complex technical topics into accessible insights.
Are collaborative, organized and motivated by shared ownership and responsibility.
Have experience with credit risk models, property valuation models or banking / regulated environments, which is beneficial, as the role operates within strong governance and regulatory frameworks (but this is not a strict requirement).
Are fluent in English, both spoken and written.

The position is based in Vilnius, Lithuania. We support workplace flexibility through a hybrid model, with at least three days per week in the office. Please note that this role does not include a relocation allowance.

We offer

We offer:

Monthly salary range from 3680 EUR to 5520 EUR gross (based on your competencies relevant for the job).

Additionally, each Danske Bank employee receives employee benefits package which includes:

• Growth opportunities: professional & supportive team, e-learnings, numerous development programs; (incl. professional certificates); 100+ professions for internal mobility opportunities.

• Health & Well-being: a diverse, inclusive, work & life balance work environment; additional health insurance; mental well-being practices; partial psychologist counselling compensation; silence and sleep zones at the office; game rooms.

• Hybrid working conditions: Work from home up to two days a week; home office budget (after the probation period); modern Danske Campus workplace developed with anthropologist for the best employee experience.

• Additional days of leave: for rest, health, volunteering, exams in higher education institutions, and other important activities. Moreover, for seniority with Danske Bank.

• Monetary compensation package: accidents & critical diseases insurance; financial support in case of unfortunate events, travel insurance; IIIrd Pillar Pension Fund contribution.

Your job function (position) in the job contract will be AI Science.

Брутто-зарплата в месяцБрутто/мес. € 3680 - 5520

Место работы

Vilnius, Vilniaus apskritis, Литва
Гибрид

Тип работы

Полный рабочий день

Языки

Английский

Контактное лицо
Migle Prismontaite

In Danske Bank Lithuania we gathered smart, innovative and open colleagues with can-do mindset, who are reimagining banking services and creating an ingenious product portfolio, and at the same time – ensure smooth daily operations of the entire Danske Bank Group.

Consider us as “the engine of the bank” – while we do not provide banking services to customers in Lithuania, we are the brain and muscle behind many of Danske Bank’s services to our global customers. Our high-quality delivery and can-do approach led us to becoming a strategic site for Danske Bank, an international community of 22,000+ colleagues worldwide.

Danske Bank Lithuania is Danske Bank’s strategic unit, providing finance, IT and global business services to serve our customers worldwide. We are on a journey to push the banking boundaries and make constant improvements in how we operate. We aim to do this by combining the best of two worlds: the strengths of what Danske Bank has built over 150 years and the approach of start-ups to what we are going to create in the future.

We see diversity as our potential, and the cornerstone of our company’s success, that will ensure our continued competitiveness and innovative strength.

We try to create an inclusive workplace where differences are our strengths and where people feel valued and can realise their full capabilities.

Because of that, the critical focus point for us is to be able to recruit, develop and retain employees without attaching any specific labels to them.

Вебсайт компании: https://danskebank.lt/careerlt