Hondenvrienden is growing its Data Science team within the Compliance, Legal, and Risk departments....
Hondenvrienden is growing its Data Science team within the Compliance, Legal, and Risk departments. This role plays a crucial part in enhancing data-focused regulatory and risk frameworks within the company.
In this role you can expect to have the responsibilities:
- Conduct detailed data analysis and develop predictive models for tackling challenges in Risk, Fraud, Financial Crime, Compliance, and Operations.
- Build strong relationships with stakeholders to promote data-centric decision-making.
- Lead data analytics and data science projects from planning to execution, transforming insights into actionable strategies.
- Collaborate with product and engineering teams to enhance data sets and pipelines.
- Develop and deploy user-friendly self-service analytical tools accessible to non-technical users.
This role comes with the following benefits:
- Flexible well-being budget
- Training and development budget
- Competitive package
- Hybrid working
- Pension scheme
- 26 days holiday leave
- Internet allowance
- Mental health support platform
- An extra holiday for your birthday
This role requires you to have:
- At least 4 years of experience in a Data Scientist/Quantitative Analyst role, preferably within the Compliance, Legal, and Risk domain.
- Degree in STEM disciplines, such as Data Science, Computer Science, or Econometrics.
- Expertise in data analytics using scripting languages like SQL and BI tools like Looker, Tableau, or PowerBI.
- Strong Python skills with libraries like Pandas, Numpy, Tensorflow, and Keras.
- Ability to simplify complex technical outcomes into actionable insights.
- Excellent collaboration skills, working across departments and with various stakeholders.
You would benefit from having:
- Previous experience within a high-growth industry.
- Strong ability to bridge tech, product, and business needs for unified solutions.
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