/Data Scientist - Transaction monitoring (ID: 3616)

Data Scientist - Transaction monitoring (ID: 3616)

Netherlandsnlvia direct
// Job Type
Full Time
// Salary
Not disclosed
// Posted
2 months ago
// Work Mode
hybrid

About the Role

STAFIDE

Utrecht, Netherlands

Share this job with your network

  • Industry Technology
  • Function Others
  • Work Experience 5+ years
  • City Utrecht
  • Country Netherlands

As a Data Scientist (Transaction Monitoring), you will:

  • Build and optimize automated data pipelines and workflows for transaction monitoring across large-scale datasets
  • Perform end-to-end data analysis: from intake and coding to visualization and stakeholder presentation
  • Design, develop, and deploy dashboards (front-end to back-end) to support rule tuning, development, and monitoring insights
  • Analyze and estimate the impact of parameter changes on model efficiency and detection performance
  • Improve workflows to enable more efficient tuning across multiple parameter combinations
  • Collaborate with cross-functional teams to bring dashboards and analytical solutions into production
  • Contribute to detecting and preventing financial crime by identifying patterns and anomalies in transaction data

What You Bring to the Table:

  • 5+ years of experience in data analysis using Python
  • Strong experience with PySpark, Databricks, and Power BI
  • Experience building end-to-end data solutions including version control, pipelines, and testing frameworks
  • Ability to guide junior and mid-level team members and share technical expertise

You should possess the ability to:

  • Translate business problems into data-driven solutions and uncover the real question behind requirements
  • Work in a structured, precise, and proactive manner with strong communication skills
  • Present insights and recommendations clearly and convincingly to stakeholders
  • Balance technical depth with business understanding to deliver impactful outcomes
  • Think strategically, identify future opportunities, and contribute to continuous improvement

What we bring to the table:

  • Opportunity to work on large-scale, high-impact data problems involving millions of users
  • A role focused on meaningful work in detecting and preventing financial crime
  • Hybrid working model with fixed collaboration days
  • Long-term engagement with potential for extension
  • A collaborative environment where innovation, ownership, and continuous improvement are encouraged

Let’s Connect
      

Want to discuss this opportunity in more detail? Feel free to reach out.

Recruiter: Aswin Dhanvandhar

Phone: +31 20 369 0609 ; Extn :141

{{criteriaIndex}}

{{field}} {{captialize(condition)}}

( )

{{topMessage}}

{{topMessage}}

previous next

{{score}}%

{{message}}

Step {{curStepInMandatorySecPrompt}}/{{totalNumOfStepsInMandatorySecPrompt}}

For privacy and security purposes, please go through the following points and provide consent.

Accept Decline

{{cxPropBodyMessage}}

{{getI18n("zr.careers.autopopulate.success")}}

{{getI18n("zr.cw.apply.sign",cxPropCompanyInfo.name)}}

{{getI18n('zr.eeo.questionnaire.portal.maintitle')}}

{{botName}}

Interested in this job?

Use our AI to tailor your resume for this Data Scientist - Transaction monitoring (ID: 3616) position at STAFIDE.