Senior Data Scientist

August 29

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ComplyAdvantage

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The leader in AI-driven fraud and anti-money laundering (AML) risk detection

AML KYC Solutions • Transaction Monitoring • PEPs and Sanctions Screening • Adverse Media

201 - 500

Description

• Good data is at the heart of detecting financial crime and our Data Science team is key. • As a Senior Data Scientist you are critical to powering ComplyAdvantage’s Financial Crime solutions and preventing financial crime globally. • Work alongside our Engineering, Data Analytics and Product Teams to process huge amounts of structured and unstructured data to extract information. • Lead and influence the development of innovative data products from conception to operationalisation. • Collaborate with different teams to perform cross data source analysis for better data unification. • Continuously research tools, technologies, frameworks and practices to ensure that we are ahead of the curve. • Have a deep understanding of existing data sources, related challenges and potential improvements. • Use exploratory data analysis and data mining techniques to identify actionable items for product improvement. • Have ownership of data metrics, you will be designing data metrics for each machine learning module using business requirements and customer feedback. • Provide data insights and visualisations which will act as insight for new ideas that will be part of our product roadmap.

Requirements

• Possess an MSc or PhD in numerate subjects, or equivalent experience • Have 5+ years of experience in data science or related field, with a proven track record of delivering impactful solutions • Have a passion for data and have previously solved complex real world problems using algorithms • Possess the ability to translate business requirements into technical solutions • Have the ability to communicate effectively with a multitude of stakeholders sharing complex messages in an easily understandable way • Be able to write and test code, ideally in Python • Have experience with one or more of the following: Natural Language Processing, Entity Resolution, Graph Theory, Graph Machine Learning • Have hands-on experience with modern machine learning frameworks such as Scikit-Learn, TensorFlow, or Spark • Eagerness to continually learn and research • Nice to haves: • Experience delivering machine learning solutions and integrating into data pipelines • Experience with Big Data platforms such as Spark

Benefits

• Equity participation in our innovative mission to combat financial crime • Unlimited Time Off Policy to promote work-life balance and well-being • We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships • Opportunities for collaboration and career development with smart, like-minded professionals • Annual learning budget to support professional growth • A home office budget to support working from home • Enhanced parental leave and childcare benefits • Life insurance and medical coverage through BUPA, including pre-existing conditions • Pension contribution through The People's Pension