Data Scientist - Transaction monitoring (ID: 3616)

Company : Stafide

Job Type : Full Time

Utrecht, Netherlands

Number of Applicants

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000+

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Job Description - Data Scientist - Transaction monitoring (ID: 3616)

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

Email: [email protected]

LinkedIn: https://www.linkedin.com/in/aswin -dhanvandhar/

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Data Scientist - Transaction monitoring (ID: 3616)

Job Description - Data Scientist - Transaction monitoring (ID: 3616)

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