Python/Scala Developer for Transaction Monitoring

190 PLN/ godz./ godz.B2BB2B (netto)

SeniorHybryda·WarszawaFull-time·B2B

#462815·Dodano 6 dni temu·0

Źródło: justjoin.it

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Tech Stack / Keywords

BitbucketJenkins Bamboo CI/CD SQL PySpark Apache Spark Java Scala Python

Podsumowanie oferty

Build data pipelines and detection logic for capital-markets anti-money laundering scenarios for a client in the banking sector. Contribute to a greenfield architecture using Python, Scala or Java, Apache Spark and SQL.

Wymagania

Requirements:

Strong programming skills in Python and Scala or Java.
Advanced experience with Apache Spark (PySpark) and SQL for large-scale distributed data processing.
Hands-on experience with distributed compute platforms and on-premise cluster environments.
Proficiency with CI/CD tools such as Bamboo or Jenkins, and Bitbucket.
Experience working in Agile teams, with the ability to work independently in a fast-paced, evolving environment.
Strong analytical and problem-solving skills.
Fluent Polish and English.

Nice to have:

Experience with Quantexa or transaction monitoring platforms.
Understanding of capital markets products such as FX, equities, derivatives and bonds.
Previous experience in financial crime, AML or surveillance use cases.
Experience implementing rule-based detection systems, scorecards or alerting frameworks.
Experience delivering against non-functional requirements such as performance, scalability, observability, data quality, resiliency and security.
Experience with automation, including automated pipeline deployment, data validation, testing frameworks and workflow orchestration.
Experience integrating solutions with third-party systems, such as case management systems.
A strong can-do attitude and the ability to collaborate in a cross-functional team.

Obowiązki

Responsibilities:

Design, implement and optimise data pipelines supporting end-to-end capital-markets AML detection scenarios.
Implement detection logic, rule frameworks and scoring components for financial-crime use cases.
Ensure high-quality engineering across code, data pipelines and operational processes.
Contribute to a greenfield architecture with a strong sense of ownership, innovation and delivery excellence.

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