Role Overview
As a Senior Data Scientist at Bitvavo, you will be a key player in our Compliance, Legal, and Risk departments. Your expertise in data science will be crucial in leveraging data across regulatory and risk frameworks, enhancing our data-driven approach. This role involves generating analytical insights, building models, and developing data products to drive strategic business decisions and operational efficiencies.
Responsibilities
- Conduct comprehensive data analysis and build predictive models to tackle business challenges in areas such as Risk, Fraud, Financial Crime, Compliance, and Operations.
- Establish and nurture partnerships with stakeholders to promote a culture of data-centric decision-making within Bitvavo.
- Lead data analytics and data science projects from planning to execution, turning insights into actionable strategies.
- Collaborate with product and engineering teams to enhance data sets and pipelines, making Bitvavo more data-driven.
- Develop and deploy user-friendly self-service analytical tools, accessible to non-technical users, promoting widespread data utilization.
Skills and Experience
- At least 4 years of relevant experience in a Data Scientist/Quantitative Analyst role, preferably with direct involvement in the CLR domain.
- Academic qualifications in STEM or related disciplines (Data Science, Computer Science, or Econometrics).
- Expertise in data analytics using scripting languages (SQL), BI tools (Looker, Tableau, PowerBI).
- Solid command of Python (Pandas, Numpy, Tensorflow, Keras) for building predictive models and carrying out sophisticated analyses.
Benefits
- Flexible well-being budget
- Training and development budget
- Competitive salary package
- Hybrid working option
- Pension scheme
- 26 days holiday leave
- Internet allowance
- Mental health support platform
How to Apply
Interested candidates are encouraged to apply through our official job portal. Bitvavo does not accept resumes from staffing, search, or recruitment firms without a signed agreement.
Benefits Extracted with AI
- Flexible well-being budget
- Training and development budget
- Competitive salary package
- Hybrid working option
- Pension scheme
- 26 days holiday leave
- Internet allowance
- Mental health support platform
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