Data Scientist
25-09-2024
Marktconform
Medior
Amsterdam
What is the role about?
Bitvavo is actively expanding our Data Science team within the Compliance, Legal and Risk departments. We are seeking a highly skilled Data Scientist with specific expertise in these areas to join our growing team. This crucial role reinforces Bitvavo's commitment to leveraging data across regulatory and risk frameworks, enhancing our data-driven approach.
As an integral part of the data team, you will play a vital role in shaping the future of cryptocurrency trading. Your responsibilities will include generating analytical insights, building models, developing data products, improving data quality and standards for informed decision-making, and providing stakeholders with the information they need to optimise their operations. A significant focus of your role will be on building models and data products that drive strategic business decisions and operational efficiencies.
How will you make an impact?
In your capacity as a Data Scientist, you will collaborate with Data Analysts, Analytics Engineers and Data Engineers to empower various business areas with data-driven insights. Your key responsibilities will include, but not be limited to:
- Conducting comprehensive data analysis and building predictive models to tackle business challenges, uncover opportunities, and streamline processes in areas such as Risk, Fraud, Financial Crime, Compliance, and Operations
- Establishing and nurturing partnerships with stakeholders to promote a culture of data-centric decision-making within Bitvavo
- Leading the charge in data analytics and data science projects, from the planning stage through to execution, effectively turning insights into actionable strategies
- Collaborating closely with the many product and engineering teams at Bitvavo to enhance data sets and pipelines in order to make Bitvavo more data-driven
- Enabling the business by developing and deploying user-friendly self-service analytical tools, making them accessible to non-technical users and promoting widespread data utilization
How will you be successful?
- At least 4 years of relevant experience in a Data Scientist/Quantitative Analyst role or similar, 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 more sophisticated analyses
- Enthusiasm for contributing to a fast-paced industry within a rapidly expanding company
- Ability to simplify complex technical outcomes into actionable insights for non-technical stakeholders
- Strong collaboration skills, with the ability to work across departments and with a wide range of stakeholders, bridging tech, product, and business needs to drive unified solutions
