Data Scientist

at  ComplyAdvantage

ABOUT YOU:

As a Data Scientist you will:

• Possess an BSc or MSc in numerate subjects, or equivalent experience.
• Have a passion for data and have previously solved complex real world problems through algorithms.
• Possess the ability to translate business requirements into technical solutions.
• 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, unsupervised machine learning techniques.
• Have hands-on experience with modern machine learning frameworks such as Scikit-learn, TensorFlow, or Spark.
• Have the ability to communicate effectively, sharing complex messages in an easily understandable way.

Nice to haves:

• Willingness to undertake bespoke research and learn “on-the-job” as required.
• Experience/Familiarity with Kubernetes.
• Experience/Familiarity with Big Data platforms such as Spark.

ABOUT US:

ComplyAdvantage is the financial industry’s leading source of AI-driven financial crime risk data and detection technology. Our mission is to neutralise the risk of money laundering, terrorist financing, corruption, and other financial crime.
More than 1000 companies rely on us to understand the risk of who they’re doing business with through the world’s only global, real-time database of people and companies. Our solutions identify thousands of risk events daily from millions of structured and unstructured data points.
We have five global hubs in New York, London, Singapore, Lisbon and Cluj-Napoca and are backed by Goldman Sachs, Ontario Teachers, Index Ventures, and Balderton Capital.
Since 2014, we have raised over $100 million in funding, and in 2022 alone grew by over 40% to over 500 people globally. Over the next 12 months, as our revenue increases, we plan to increase to 600.
At ComplyAdvantage diversity fuels our rocket ship and our commitment to inclusion across race, gender, age, religion, identity and experience drives us forward every day. We encourage everyone to apply and aspire to consider every application fairly.
We will handle your information in accordance with our Privacy Policy. For further information, please click here

Good data is at the heart of detecting financial crime making the Data Scientist role key to our business.

As a Data Scientist, you will:

• Work alongside our Engineering, Data Analytics and Product Teams to process huge amounts of structured and unstructured data to extract information.
• 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.
• 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 powerful visualisations which will act as insights for new ideas that will be part of our product roadmap.
• Have a deep understanding of existing data sources, related challenges and potential improvements.