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Data Scientist in 1st Line FC ML Team

Do you want to shape the future of machine learning at one of the largest financial institutions in Northern Europe?

Now is your opportunity to join the Machine Learning team at Danske Bank’s 1st Line Financial Crime organization. Our team is pivotal in developing fraud detection machine learning models that score transactions in real-time. We also explore and implement machine learning models for other use cases within the department.

We are seeking a Data Scientist to enhance our team, which currently includes 2 dedicated experts based in Lithuania. Python is our primary programming language, and most of our applications are developed using Python.

As part of our team, you will engage in ongoing and new projects across various areas such as Fraud Detection, Transaction Monitoring, and Sanctions Screening.

Depending on your experience and knowledge, we may offer you different seniority of the role.

"We know through experience that different ideas, perspectives, and backgrounds create a stronger and more creative work environment that delivers better results."

You will:

  • Develop new and maintain existing machine learning models using Python
  • Collaborate closely with Data Engineers who manage the machine learning platform, as well as with Analysts from various relevant teams
  • Develop a machine learning model on a new AWS platform to detect fraud in business customer transactions
  • Explore new ideas and create Proof of Concepts to optimize decision-making in various areas within the 1st Line Financial Crime division

About you:

  • 3+ year of experience in an analytical or Data Scientist role
  • Proven ability to analyse large and complex datasets
  • Proficiency in Python and commonly used machine learning packages (such as pandas, scikit-learn, pyspark, XGBoost, etc.)
  • Knowledge of SQL and previous experience working with classification problems are considered an advantage
  • Comprehensive analytical and problem-solving skills
  • Open-mindedness, with a willingness to consider new ideas and perspectives
  • Take charge of projects and provide guidance to junior team members in their daily activities
  • Advanced skills in spoken and written English
  • We truly encourage applications from enthusiastic candidates with partially overlapping backgrounds

We offer:

Monthly salary range from 3280 EUR to 4920 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: 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.

Additional days of vacation

Canteen services and free fruits

Additional health insurance package

Third pillar pension fund

See all the benefits HERE.

We are looking for a new, passionate colleague to help enrich our machine learning team. Do contact me to hear more!

Nils Foyn Kjærside, Senior Vice President | 1st Line Financial Crime | Head of Financial Crime Data Capabilities

Apply via:

Send your CV

If you are interested, please send your CV in English no later than 16.09.2024. Confidentiality guaranteed.

Your title in job contract will be Data Scientist, Senior.