Remote Economic Crime Model Developer & Analyst

Swedbank

Sundbybergs kommun

Hybrid

SEK 800,000 - 1,050,000

Full time

28 hours ago
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Job summary

Swedbank is seeking a data science professional to strengthen its Economic Crime Prevention models and detection capabilities. You will explore risks, translate intelligence into recurring controls, and contribute to the automated monitoring framework for economic crime prevention in a collaborative team.

The role requires experience in AML, Fraud, KYC, and sanctions, with strong skills in machine learning, Python, SQL, and analytics tools.

Qualifications

  • 3+ years of data science experience in economic crime prevention or related field.
  • Experience in AML, Fraud, KYC, sanctions, and automated screening/monitoring.
  • Strong knowledge of machine learning algorithms and statistical modelling.
  • Proficiency in programming within analytic frameworks (R/Python) and SQL, Power BI, Qlik Sense, SAS or VBA.
  • Excellent written and spoken Swedish and English.

Responsibilities

  • Explore risks and translate intelligence into recurring controls to improve risk coverage in the bank's control environment.
  • Test, develop, analyse and maintain models within Swedbank's automated monitoring framework for economic crime prevention.
  • Collaborate with Financial Crime Risk and Advanced Analytics in a team of risk analysts, data analysts, and data scientists.

Skills

AML
Fraud detection
KYC
Machine learning
Python
SQL
Power BI
Qlik Sense
SAS
VBA

Education

Bachelor's or Master's in data science / statistics

Tools

R
SQL
Power BI
Qlik Sense
SAS

Job description

Swedbank is seeking a data science professional to strengthen its Economic Crime Prevention models and detection capabilities. You will explore risks, translate intelligence into recurring controls, and contribute to the automated monitoring framework for economic crime prevention in a collaborative team.

The role requires experience in AML, Fraud, KYC, and sanctions, with strong skills in machine learning, Python, SQL, and analytics tools.

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