The Financial Services industry is operating in a challenging environment due to global economic pressure, increasing regulatory demands and capital requirements as well as significant operational and technology changes.

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.)

Data Scientist in Technology Team, Financial Crime Unit

The role

• Develop AI models to create sophisticated analytical solutions for Anti Financial Crime domain.

• Monitor the efficiency of developed machine learning models and fine tune, when there is a need.

• Build data structures by gathering, identifying relationships and transforming big datasets.

• Perform queries and analysis to identify any anomalies and inconsistencies within data.

• Work closely with stakeholders to understand their needs and business correlation of analysed data.

• Keep up with the latest AI methodologies and Financial Crime trends.

Candidate’s profile

• Min 2 years of experience in machine learning and statistical modelling.

• Proficiency in programming languages (Python, R) and querying technologies (e.g. SQL)

• Familiarity with big data technologies (e.g. Spark) 

• Knowledge of data visualisation(e.g. ggplot, plotly)

• University degree (preferred in Statistics, Econometrics, Mathematics, Computer Science, Big Data)

• Excellent written & spoken English with great communication skills.
   

We offer

• Opportunity to use your technology and business skills to address global financial crime challenges

• Participation in design and implementation of new products and services that leverage cutting edge technology

• Collaboration with high profile, ambitious IT professionals

• Work in an international team providing services to leading global financial institutions (based in Europe, US, Asia and Africa)

• Technical trainings

• Attractive remuneration package

• Benefits (private healthcare, multisport card, language classes)

• Great atmosphere and comfortable working environmentm