Must have

• Python

• Spark

• LLM

• English (B2)

Nice to have

• R

• SAS

Requirements description

• Bachelor’s, Master’s, or Ph.D. in statistics, maths, or a related quantitative field
• At least 8 years of experience in building and managing analytics frameworks
• Skilled in automating and optimizing models, including testing and performance validation
• Proficient in programming: Python, R, SAS, or Spark
• Experience using LLMs like ChatGPT
• Background in Anti-Financial Crime and Compliance tools, e.g., Transaction Monitoring, KYC/CDD, Sanctions Screening, Entity Resolution, Case Management
• Available to partially work in standard Eastern Time hours (possible meetings with client from US)
• Residing in Poland required

Nice-to-have requirements

• Certifications like CAP, DASCA, PDS, SAS Big Data, or Azure Data Scientist
• Familiarity with Palantir Foundry products and solutions

Offer description

We are seeking a motivated Data Scientist to join our remote Financial Crimes Risk Management team. You will play a key role in combating financial crime by developing data solutions using modern data science technologies.

Your responsibilities

1. Develop advanced analytics and reporting for systemic risk detection
2. Identify new risk typologies and build effective risk models
3. Implement compliance rules to analyse payments and identify sanctions risks
4. Partner to build robust KYC/CDD analytics and ensure data governance
5. Automate alerts and operational processes to reduce false positives and cost