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Join the forefront of SME lending innovation with Funding Circle's dynamic data team
Overview
Salary
No salary declared 😔
Location
London, United Kingdom - Hybrid
Expires
Expires at anytime
Organisation summary: Funding Circle stands as a beacon of support for small businesses, offering the financial backing they need to flourish. Our passion has fueled over a decade of commitment to revolutionizing SME lending through a fusion of advanced technology, data science, and an exceptional customer experience. We're not just a company; we're a movement dedicated to empowering the backbone of the global economy—small businesses.
Role Summary:Develop advanced statistical and machine learning models to enhance commercial lending products.Optimize current models and innovate by exploring new data sources.Translate complex analyses into clear, actionable insights for stakeholders.Lead projects from inception to implementation, including developing monitoring plans.
Role Requirements:At least 4 years of experience in Decision Science, preferably in SME or retail lending.Proficiency in statistical and machine learning techniques such as logistic regression and gradient boosted trees.Advanced skills in Python & SQL.Demonstrated ability to drive organizational change.Exceptional problem-solving capabilities with a logical and analytical approach.
Funding Circle is dedicated to inclusivity and encourages applications from diverse backgrounds, regardless of direct experience alignment. We also offer a competitive benefits package including health and dental insurance, mental health support, learning allowances, financial advisory services, fitness discounts, and an electric car scheme, among others.
We are Funding Circle, a company that backs small businesses to succeed. We believe the world needs small businesses and we've made it our mission to help them get the finance they need to grow. With more than a decade of expertise, we've built a game-changer of a platform with cutting-edge data and technology that's reshaping the landscape of SME lending. We provide meaningful, human support as well as fast, hassle free processes to deliver an unbeatable customer experience.
The role entails developing statistical and machine learning models for commercial lending products. You will deliver value through optimisation of our current models and drive innovation through constantly seeking alternative data sources. You will be expected to be an excellent communicator and presenter, turning complex analysis into simply articulated visions/insights. You will see projects right through to completion, by leading on the implementation efforts and developing ongoing monitoring plans.
Job requirements include at least 4+ years experience in a Decision Science setting, ideally within SME or retail lending environment. Advanced knowledge of statistical and machine learning method e.g. logistic regression, gradient boosted trees, NLP. Advanced knowledge of Python & SQL. Proven track record of driving changes within an organisation. Exceptional problem solving skills using logical reasoning and analytical methods.
We offer benefits such as Private Medical Insurance through Aviva, Dental Insurance through Bupa, MediCash, access to free online therapy sessions and exclusive discounts with Hertility for reproductive health support. We also provide Octopus Money Coach, free mortgage advisor partnership and discounts across numerous retailers through Perks at Work. We have dedicated annual learning allowance and full access to internal learning platform. We also offer Wellhub (for fitness discounts), Electric Car Scheme and more!
We are committed to building diverse teams so please apply even if your past experience doesn’t align perfectly with the requirements.
