Description
& SummaryAbout our team
We focus on detecting Financial Crime. Our team serves as a regional centre of excellence that provides technical advisory to clients across the whole world so we work with clients in Europe, North America, Australia, Africa or South Asia.
We help our clients optimise anti-money laundering systems by enhancing them with machine learning. To enable us to deliver insights rapidly, we have a custom-developed cloud-based application that we strive to constantly improve. We have recently launched the second generation of the application.
Come and join the fast growing field of Financial Crime Analytics and help us combat money laundering and other types of financial fraud.
Responsibilities:
80% Work on client engagements
Building data processing pipelines
Assessing data quality
Analysing data mainly about customers and monitoring alerts
10% Developing our digital assets
Writing Python scripts and tests :)
Creating CI/CD procedures
Maintaining our infrastructure
5% Preparing new engagement proposals
5% Staying up-to-date with developments in the field of data engineering
Requirements:
At least a bachelor degree in Computer Science or a similar field.
Knowledge of good software development practices, design patterns and databases.
Knowledge of Python, Git, CI/CD, SQL and Docker.
Experience with Tableau, Power BI or a similar visualisation tool.
Experience with Kubernetes and Azure Cloud services is a plus.
Experience with tools for distributed processing is a plus - Vaex, Dask, Spark.
Knowledge of frontend technologies is a plus.
Knowledge of the field of Anti-Financial Crime or Banking is a plus.
Good English both verbal and written.
Willingness to learn, take initiative and be challenged.
A confident communicator and a strong team member.
Willingness to travel if needed.
We offer:
Competitive salary and bonuses for excellent performance.
Exceptional opportunities for professional and personal development - certification is fully paid by the company,numerousin-house and external trainings, free English classes.
Career growth - ‘from intern to partner’ opportunity.
Strong,enthusiasticand friendly team.
Interesting and challenging tasks.
Health insurance,corporatepsychologistand clubs ofinterests(badminton, volleyball, yoga, movies, etc.).
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