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Head of Machine Learning
at iwoca ltd

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  • London
  • fulltime
  • ₤60000 - ₤100000 per year
  • -
Why iwoca?

A flexible cash flow is critical to the success of any small or mid-sized business. Traditionally, banks have neglected the millions of European SMEs because their processes have been too slow, rigid and costly to serve them effectively. By using cutting-edge technology and harnessing more data, iwoca is rapidly reinventing business finance, developing new ways to provide fast and flexible access to credit, enabling our customers to flourish.

Chris and James launched iwoca in 2012; since then we’ve made tens of thousands of credit decisions and lent over £150m to ten thousand SMEs across UK, Poland, Germany and Spain. Along the way we built a high-tech platform from scratch, won numerous awards and grown a highly cosmopolitan, fun and vibrant team of 130 people based in London. We represent a diverse range of backgrounds and we’re united in our mission to make business finance simple, seamless, and powerful.
We’ve come a long way in the last five years, and yet are just at the start of a journey that promises many more exciting times ahead. We recently closed a £46m funding round, giving us the firepower to accelerate our development. To drive this growth we’re looking for people who are smart, motivated and humble, want to develop themselves and push the boundaries of their own performance while building a business we can all be really proud of.

About the role:
iwoca is the market leader in accurately lending to small businesses. By ingesting, processing and making sense of a huge variety of data on each application we understand our customer’s risk profile better than anyone else. This allows us to extend credit to the small businesses that need it.
A large portion of our existing processing is automated, especially in data collection, but to be able to serve our customers (both in speed and precision) we would like to automate more of the high-level analysis, much of which is currently manual.
Within our tech & analytics department we are building a machine learning unit dedicated to automating these higher-level tasks. The role is to run this unit, from both a technical and managerial perspective. Reporting to our CTO, you will be expected to utilise your data-driven curiosity to help us analyze our customer data in order to identify opportunities where we can optimise our risk models to drive efficiency and speed throughout the process.

The Head of Machine Learning will be expected to:
Build a team dedicated to deriving meaningful and actionable insights from our data as well as contribute to innovation behind our platform
Lead the team in turning raw data into rich, meaningful and actionable insights
Provide thought leadership for machine learning and data science research
Identify relevant technology and engage with external industrial or academic partners
Further enhance advanced machine learning/AI and statistical learning methods
Leverage other open source machine learning software/algorithms
Work closely with our CTO and business stakeholders to drive business growth and deliver outstanding work
Drive the focus in transforming analytics within credit decision making, scorecard development and defining/implementing AI/predictive analytics

We are looking for someone with:
An advanced Degree (Master's or PhD) in Computer Science, Statistics, Engineering, Mathematics, Physics, or a related quantitative field
Experience working in the field of machine learning and data science
Proven track record of working with large data sets to develop innovative data products and capabilities and extract actionable insights
Expert knowledge of statistical modelling methods for supervised and unsupervised learning
Commercial experience working with either Python or R (we use Python)
Knowledge of databases and related languages/tools such as SQL and NoSQL
Experience with cloud computing platforms (AWS is desirable)
Strong knowledge of the mathematical foundations of statistical inference and forecasting such as time series analysis, multivariate analysis, cluster analysis, and optimization
Ability to lead and manage a team of juniors Data Scientists
Effective communication skills and ability to explain complex data products in simple terms

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