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Data Scientist
Title: Data Scientist
Category: IT/Software Development
Job type: Permanent
Job status: Full Time
Salary: £45,000.00 - £120,000.00
Salary per: annum
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We are looking for individuals with a proven track record in data science or big data projects. A background in AML, KYC, screening, regulatory compliance or fraud is highly advantageous, especially for more senior roles.

Typical responsibilities include:

Work with clients to solve business problems in the area of fraud, compliance and financial crime:Elicit and document solution requirements, Understand patterns of criminal behaviour and design systems to detect and investigate them, Perform advanced analytics to identify the trends associated with adverse behaviour, Automate analysis to proactively alert on high risk activity on an on-going basis, Assure high quality implementation of solutions, Optimise existing financial crime platforms through data analytics, Present project results to clients, Work very closely with data engineers to enable efficient and effective delivery of solutions. You would be using leading open source data science tools, such as Python, Lucene, Scala and Spark. You should be comfortable with working with high profile clients, on their sites. Work with our expert software development team to produce reusable applications and analytical tools:Use emerging and open source technologies such as Spark, Scala and Python, Collaborate on scalability issues involving access to massive amounts of data and information, Produce components for advanced analytics, matching, search and visualisation on big data. Take on ad-hoc tasks as required for the running of a small, yet rapidly expanding business, For senior roles in addition you should be comfortable:

Provide technical vision for, manage and develop teams to deliver Quantexa’s software to clients You will be comfortable with the principles of data engineering, Using agile delivery methodologies such as Scrum or Kanban to deliver projects. Our office is located near London Waterloo, but some work occurs on our clients’ sites – mainly in central London, but there may also be opportunities for travel.


You should have the following:

Proven big data experience, either from an implementation or a data science prospective, Excellent technical skills including expert knowledge of at least one analytical package such as R, SAS, SQL or Python, Familiarity with big-data platforms such as Spark or Hadoop, Good coding experience in the likes of Python, Scala or Java, Strong client facing, communication and presentation skills, Strong academic qualifications, high quality degree (2:1 or above) or equivalent, Enthusiasm to learn and develop emerging technologies and techniques. Knowledge of at least one or more of the following will be important:

Experience in solutions for AML regulation, sanctions or KYC, Experience in global banking and markets, Expertise in data science methods and techniques. Benefits

The expected salary for this position would be dependent on experience plus bonus, and an excellent Group Benefits including:

25 days holidays; Private healthcare, Life assurance, Group income protection; Cyclescheme and Techscheme Pension scheme with company contribution of 5% of salary. Huge opportunities due to scale of growth Regular social events*By applying, you attest that you have read, understood and accepted the content of the Privacy Notice and consent to the processing of your data as part of this application.
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