Staff Data Scientist

What you will be doing:

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

As a Staff 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.
• Lead and influence the development of innovative data products from conception to operationalization
• 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, developing a roadmap to improve data quality.
• 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.
• Support and upskill more junior members of the team.

About you:

As a Staff Data Scientist you will:

• Possess an MSc or PhD in numerate subjects, or equivalent experience.
• Have 6+ years 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 through 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, unsupervised machine learning techniques.
• Have hands-on experience with modern machine learning frameworks such as Scikit-learn, TensorFlow, or Spark.
• Have coached or supported more junior team members.

Nice to haves:

• Experience delivering machine learning solutions and integrating into data pipelines.
• Experience with Kubernetes.
• Experience with Big Data platforms such as Spark.
• Willingness to undertake bespoke research and learn “on-the-job” as required.

The impact you will have

As a Staff Data Scientist you will be joining one of the fastest growing teams at ComplyAdvantage. You will have the opportunity to solve some of our biggest challenges. Through your analysis, you will help guide ComplyAdvantage so we can make financial crime a thing of the past. Your work will be key to the success of your team and you can therefore expect everyone around you to be invested in getting models to production and
realising the impact of your work.

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 Vitality, including pre-existing conditions
• Pension contribution through The People's Pension

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.

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