Job description

This is a fully remote role


Ayasdi is breaking new ground in enterprise AI and is looking for data scientists to join our teams in UK or US (remote). We have a unique approach combining advanced unsupervised and supervised, and semi-supervised techniques to solve hard problems in Anti Money Laundering, Fraud, Trade Surveillance, and other FinCrime. You will learn and apply cutting-edge machine learning techniques developed by Ayasdi. Additionally, you will be contributing to the further advancement of Ayasdi technology through rigorous research and development. 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 reducing the False Positive rate of existing surveillance systems. We combine the rapid agility of a start-up with the financial backing of the world’s largest private AI fund (Symphony AI). At Ayasdi your contribution will make a difference to the world. Join us now.


Responsibilities:


  • Directly interact with data scientists in the Financial Services industry to understand and help solve their business problems.
  • Participate in POV with our clients to validate Ayadi technology.
  • Become a master user and advocate of Ayasdi’s product.
  • Evaluate the feasibility of the data science project proposed by customers.
  • Interact and collaborate with engineers and product managers, relaying feedback from customers to continually develop and improve our product.
  • Make research and development contributions to our core product offerings.
  • Collaborate on research machine learning white papers.
  • Continuously review latest scientific papers and contribute ideas for future R&D projects.
  • Build, evaluate and deploy machine learning models using Ayasdi Sensa platform.

Key Requirements:


  • Deep knowledge of the statistical and mathematical basis of machine learning algorithms.
  • Work experience in data analytics, statistical, and machine learning modeling.
  • High proficiency in Python, Pandas, Numpy, scikit-learn.
  • Experience in SQL, Tensorflow/Keras.
  • The capability to work independently in a fast-paced start-up environment
  • The ability to collaborate well with other data scientists and machine learning engineers.
  • Willingness to learn new technologies on the job.
  • The ability to clearly communicate complex results to technical and non-technical audiences.
  • Experience using Github.

Bonus Requirements:


  • Knowledge of Kubeflow, Dask, and Rapids.
  • Experience working within a FinTech industry.
  • Knowledge of Blockchain, DeFi, and DAGs.
  • Knowledge of Anti Money Laundering, Financial Fraud, and Trade Surveillance.
  • Knowledge of topological data analysis.
  • Experience with GANs, DRL, and DNNs.

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