Data Scientist (Financial Services) UK based

· London, Middlesex
Employment Type Full-Time (FTE)

Ayasdi is breaking new ground in enterprise AI and is looking for data scientists to join our teams in London and New York. We have a unique approach combining best in class unsupervised and supervised techniques to solve hard problems in Anti Money Laundering, Fraud, Credit Risk and Liquidity. You will learn new techniques based on Ayasdi’s patented platform that combines Topology, Information Theory and Machine Learning to create the world’s most powerful global pattern discovery capability. As part of a growing team you will deploy our technology to help our customers solve their biggest and most impactful problems whether it be discovering the sinister Unknown Unknown’s evading their detection systems or re-balancing their Liquidity in the midst of a storm. We combine the rapid agility of a start up with the financial backing of the world’s largest private AI fund. At Ayasdi your contribution will make a difference to the world. Join us now.




  • Directly interact with customers in the Financial Services industry to understand and help solve their business problems using the Ayasdi Enterprise AI platform
  • Become a master user and advocate of Ayasdi’s product
  • Serve as a technical and subject matter expert in Financial Services information technology, assisting sales during pre- and post- sales efforts
  • Make research and development contributions to our core product offerings
  • Interact and collaborate with engineers and product managers, relaying feedback from customers to continually develop our product


Minimum Requirements: 

  • MS or PhD in quantitative field
  • 5+ years hands on experience delivering machine learning applications in financial services with demonstrable results
  • 2+ years working within a financial institution or related organization 
  • 2+ years experience working with an Analytics software vendor
  • Domain experience in Anti Money Laundering, Fraud, Credit Risk or Liquidity
  • Solid understanding of existing statistical and machine learning techniques 
  • Ability to translate analytic ideas into code using Python and at least one other programming language
  • Familiar with one or more data science toolkits such as Spark, Hadoop, Hive, scikit-learn and pandas
  • Ability to travel 30% in the field as necessary 

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  • Location
    London, Middlesex
  • Employment Type
    Full-Time (FTE)