Compliance Data Scientist
Compliance Data Scientist
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Job Description
About Compliance Analytics & Tooling team
TheAnalytics & Tooling (A & T) teamis a crucial part of the Compliance & Ethics (C&E) department focusing on driving compliance through datadriven decision making complemented with IT capabilities.
The role
The Analytics and Tooling of Compliance & Ethics team is seeking a Compliance Data Scientist experienced in antifinancial crime solutions. As a Data Scientist you will play a crucial role in analyzing complex big data sets developing data use cases and training predictive models. Your work will directly impact business opportunities within the financial crime area. Join our crossfunctional team and contribute to our mission of safeguarding financial integrity and enhancing the reputation of Euroclear as a trusted FMI.
Key Responsibilities:
- Develop and implement data science use cases leveraging supervised and unsupervised machine learning techniques.
- Collaborate closely with crossfunctional teams to identify business opportunities related to financial crime.
- Identify collect understand and prepare data (cleansing enrichment etc.) for processing.
- Implement predictive models to score and prioritize alerts raised by existing and future anomaly detection systems.
- Develop anomaly detection algorithms using supervised and unsupervised machine learning models or other relevant data analytics techniques such as Natural Language Processing or graph/network analysis.
- Analyze interactions within our ecosystem of counterparts (clients agents beneficial owners etc.) using graph databases and network analytics techniques to detect unsuspected and potentially risky relationships.
- Iteratively improve the performance of models in close collaboration with subject matter experts.
- Design both static and interactive data visualizations to communicate results clearly and impactfully to stakeholders who may not have a strong background in data science.
This exciting role gives you the opportunity to utilize and broaden your analytical skills to take Euroclears financial crime capabilities to the next level.
Technical Skills:
- Masters or doctoral degree in a quantitative field (e.g. computer science artificial intelligence mathematics physics statistics).
- Minimum of 2 years of experience in developing machine learning models.
- Strong programming skills in Python SQL and Spark.
- Expertise with Scikitlearn and Pandas libraries.
- Proficiency in data science techniques and their application in a business context.
Soft Skills:
- Ability to explain complex analyses to nontechnical stakeholders using storytelling and data visualization.
- Excellent oral and written communication skills at both technical and business levels.
- Exceptional problemsolving abilities a cando attitude creativity and persistence in understanding and solving business challenges.
- Ability to work independently on technical projects while also socializing and interacting with colleagues from both business and IT sides.
Bonus Points:
- Experience in building data products from design to production.
- Experience with any of the following:
- Power BI
- Hadoop ecosystem
- Git
- Proficiency in visualization libraries/tools (e.g. Plotly/Dash/NetworkX).
- Familiarity with network analytics.
- Knowledge of compliancerelated domains (sanctions transaction monitoring KYC fraud detection etc.) ideally in the financial industry.
- Previous exposure to generative AI and/or Natural Language Processing.
- Familiarity with cloud platforms preferably Azure.
Join our dynamic team and make an impact in the exciting field in the fight against financial crime and fraud!
What working at Euroclear offers:
- A dynamic and collaborative work environment.
- Opportunities for professional growth and development.
- Engagement with global teams and projects.
About Euroclear:
Euroclear is a leading financial services company that provides posttrade services to financial institutions around the world. We are committed to ensuring compliance and ethics in all our operations and fostering a culture of innovation and excellence.
Employment Type
Full Time
