Data Scientist, Featurespace
More information about location
Provider of fraud and crime prevention technology
Job no longer available
Provider of fraud and crime prevention technology
201-500 employees
Job no longer available
More information about location
201-500 employees
Company mission
To make the world a safer place to transact.
Role
Who you are
- Degree-level qualification in a scientific or numerate discipline, e.g. Computer Science, Physics, Mathematics, Engineering – or equivalent experience
- Experience of applying practical machine learning algorithms to real-world data
- Experience in implementing statistical models and analytical algorithms in software
- Practical experience in the handling and mining of large, diverse, data sets
- Problem-solving skills (especially in data-centric applications)
- Strong, clear, concise written and verbal communication skills
- Technical and analytical skills with the ability to pick up new technologies and concepts quickly
- Ability to manage and prioritise personal workload
- Constructive participation in system architecture/design discussions from an analytical perspective
Desirable
- A PhD or other postgraduate qualification
- Experience working in a Linux command line environment
- Experience using SQL to analyse data
- Experience with version control software and workflows (e.g. git)
What the job involves
- To maintain our lead at the cutting edge of analytics, Featurespace is looking for a Data Scientist who will contribute to the successful application of our technology and help to grow our business
- As part of Featurespace’s Data Science team, you will be building advanced statistical models and algorithms that infer and predict individual customer behaviours in real-time, based on retail, online and eCommerce transaction data
- Applying analytical theory to diverse real-world problems on large and dynamic datasets
- Generating integral work products from project kickoff through to live deployment
- Developing statistical models and algorithms for integration within Featurespace products
- End-to-end processing and modelling of large customer data sets
- Producing materials to feedback analytic output to customers (reports, presentations, visualizations)
- Working collaboratively with customers to understand the opportunities and constraints of their existing data in the context of machine learning and predictive modelling
- Evaluating and improving analytical results on live systems
- Developing an understanding of industry data structures and processes
- Working with engineering/development teams to support and enhance the analytical infrastructure
- Testing analytical models and their integration within the ARIC platform
- Providing input into future data science strategy and product development
Our take
Featurespace is the world leader in Enterprise Financial Crime prevention for fraud and Anti-Money Laundering. The company is responsible for the invention of Adaptive Behavioural Analytics and achieved its best result to date through the creation of the ARIC platform, a real-time machine learning software that helps to prevent fraud and financial crimes by risk-scoring events in more than 180 countries.
The global fraud detection and prevention market is exhibited to grow to $129.17 billion USD by 2029. Among Featurespace's main competitors are Signifyd, the world's largest provider of Guaranteed Fraud Protection, and Riskified. Featurespace's ARIC Risk Hub is used by more than 30 major global financial institutions including HSBC, TSYS, Worldpay, NatWest Group and Danske Bank.
Fraud is all about discovering an individual's vulnerability. Recently, the way we live and work has been significantly disrupted, exposing us to new and different threats. The goal for Featurespace is to keep finding solutions to new customer problems while constantly evolving to meet new standards.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
-13% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
May 2020
$40.3m
LATE VC
Jan 2019
$33.6m
LATE VC
Total funding: $111.7m
Company benefits
- Quarterly bonus awards
- Great pension/401k schemes
- Generous annual leave allowance
- Stock options
- Career growth and training opportunities
- Flexible working practices
- Regular social and team building events
- Discounted gym memberships and remote exercise classes
- Cycle to work scheme
Company HQ
Milton, UK
Leadership
David Excell
(Co-founder)Studied at the Australian National University and the University of Cambridge. Alongside being the founder of Featurespace, they are also a board member for the Technology Association of Georgia and The Knoble, bringing together networks of financial crime specialists to prevent criminals from using the world’s financial systems to profit from the suffering of others.
Bill Fitzgerald
(Co-founder & Chairman)Professor of Applied Statistics and Signal Processing and Head of Research in the Signal Processing Laboratory, in the Department of Engineering at Cambridge University.
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