The Role
Build and optimize automated data pipelines and workflows for transaction monitoring, perform end-to-end analysis, design and deploy dashboards, estimate impacts of parameter changes, improve tuning workflows, collaborate cross-functionally, and detect anomalies to prevent financial crime.
Summary Generated by Built In
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
LinkedIn: https://www.linkedin.com/in/aswin-dhanvandhar/
Skills Required
- 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
- Translate business problems into data-driven solutions
- Strong communication and stakeholder presentation skills
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The Company
What We Do
STAFIDE is a Netherlands-based niche technology talent consulting company operating across Europe. It helps organizations identify, recruit, and deploy technology professionals in areas including cybersecurity, cloud engineering, software development, data analytics, ERP, infrastructure, and digital transformation. Its services include recruitment, workforce engagement, secondment, onboarding support, workforce deployment, and workforce analytics that support technology hiring and expansion.
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