Senior Data Scientist in Transaction Monitoring area, Financial Crime Unit
Our Technology Team in Financial Crime Unit in Poland delivers innovative technology solutions, data analytics and consulting services to global PwC clients, addressing key challenges in the Anti Financial Crime area (Anti Money Laundering, Combating Terrorism Financing, Fraud Risk Management, FATCA and Financial Sanctions implementation etc.)
The role
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Develop AI/ML models to create sophisticated analytical solutions for transaction monitoring process optimization.
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Perform tuning and optimization of models used for transaction monitoring.
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Build data structures by gathering, identifying relationships and transforming large sets of transactional data.
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Perform queries and analysis to identify any anomalies and inconsistencies within data.
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Work closely with stakeholders to understand their needs and business correlation of analysed data.
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Keep up with the latest AI methodologies and Financial Crime trends.
Candidate’s profile
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Min 2 years of previous experience in building models related to transaction monitoring area
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Min 5 years of experience in machine learning and statistical modelling.
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Proficiency in at least one programming language (Python or R)
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Knowledge of software tools related to Machine Learning (e.g. Pandas, Numpy, scikit-learn or similar)
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Familiarity with at least one big data technology (Spark, Hadoop or similar)
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Good understanding of Linux environment
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Experience in web scraping, information extraction would be an asset
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University degree (preferred in Statistics, Econometrics, Mathematics, Computer Science, Big Data)
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Excellent written & spoken English with great communication skills.
We offer
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Opportunity to use your technology and business skills to address global financial crime challenges
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Participation in design and implementation of new products and services that leverage cutting edge technology
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Collaboration with high profile, ambitious IT professionals
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Work in an international team providing services to leading global financial institutions (based in Europe, US, Asia and Africa)
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Technical trainings
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Attractive remuneration package
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Benefits (private healthcare, multisport card, language classes)
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Great atmosphere and comfortable working environment