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Data Scientist (Financial Crime - Computer Vision)

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London, United Kingdom
Finance/Accounting, English
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Job Description:

A LITTLE ABOUT US xxxx0;  From clunky apps to hidden fees, banking as we know it is broken. So we decided to build a company from the ground that would challenge the bigger players and reinvent how people interact with their money - for the better.  Traditional banks are slow and expensive. Realistically, you're nothing but a number to them with dollar signs attached. So, one continent at a time, we plan on changing this.  This may sound a little salesy, but we've signed up more than 3m customers without spending a single penny on marketing. It's simple really: if you solve an everyday problem, you don't need to spend a gazillion dollars on fancy marketing campaigns.      OUR CULTURE xxxx7;  To put it bluntly - it's about getting it done and owning what you do. We don't hide behind fancy job titles or set up bureaucratic processes. Instead we treat our people equally, fairly and give them a ton of freedom and autonomy to create something awesome.  We make mistakes, we learn from them and we back everything up with data and logic.  In three years, we've grown to over 600 people and we're adding around 30 new additions each month. From engineers to marketers, we're on the hunt for exceptional talent to help us scale our business and get (COMPANY NAME) in the hands of millions of people everywhere.          WHAT YOU'LL BE DOING ✍xxx9;  We are looking for extraordinary Data Scientists/ML Engineers with proven experience in developing computer vision and NLP systems for document classification. As the first members of the Financial Crime - Automation team, you will be leveraging your skillset to build proprietary solutions for automated recognition and parsing of customer documents and images. You must be comfortable with implementing end-to-end solutions and collaborating with product owners, engineers and data scientists to improve data infrastructure and contribute to a seamless research platform.        WHAT SKILLS YOU'LL NEED xxxx4;  Bachelor's/Master's/PhD in STEM (Mathematics, Computer Science, Physics, Engineering, Economics)  2+ years of experience in quantitative research/development in algorithmic FX trading  Fluency in SQL and Python  Deep understanding of fundamentals of probability and statistics  Big picture thinking - correctly diagnosing problems and productionising research  Databases: SQL {Exasol, PostgreSQL, BigQuery}, NoSQL {DataStore, CouchDB, Redis}  Production: Docker, K8s, Multi-threading        BENEFITS xxxx3;  You'll get to work in one of the hottest and fastest growing tech startups in the world right now  We'll arm you with all of the latest tech equipment  Competitive salary  Private pension plan  Free (COMPANY NAME) Premium subscription  Free dinners  Reward Gateway

Source: Company website
Posted on: 15 Mar 2019
Languages: English
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