All achievements we are very proud of, but we don't let that go to our head. We are all laser focused on our mission and understand the huge joint effort ahead of us needed to succeed.

Working at OnBuy:

We are a team of driven and motivated people who thrive when working at pace. To succeed at OnBuy you need to take charge and fully own your responsibilities, rolling your sleeves up when needed to 'get it done'. Working at OnBuy you are surrounded by so much opportunity, but you must possess the ability to stay focused and prioritise ruthlessly. Most importantly, you will thrive in an ever-changing environment as we are constantly evolving.

At OnBuy, you're not just a number or another cog in a machine. We are creating something really special, and you have the opportunity to affect meaningful change and have your voice heard.

We are a close team, who have the opportunity to learn and grow as OnBuy evolves. We work in a flexible way, meaning we can prioritise our health and relationships, but when we are working, we graft.

Risk Data Scientist

As the Risk Data Scientist your primary responsibility will be developing data-driven strategies and predictive models that aid the identification and quantification of potential risks, that enables the risk management team to ensure appropriate mitigations are in place. You will collaborate with cross-functional teams to build risk models, predictive analytics tools, and reports that support informed decision-making and effective risk mitigation.

Key Responsibilities:

Risk Modelling & Predictive Analytics
Design and develop statistical and machine learning models that simulate various risk scenarios, to identify, assess, and quantify potential risks to the business.

Risk Data Analysis
Analyse large and complex datasets from multiple sources to uncover trends, patterns, and outliers that can indicate emerging risks.

Risk Mitigation Strategies
Support the Head of Risk in translating analytical findings into actionable risk mitigation strategies.

Reporting & Visualisation
Create dashboards, reports, and visualisations to clearly communicate potential risks and their impacts to stakeholders at all levels of the organisation.

Data Integration
Work with data engineers to integrate, clean, and preprocess data from disparate systems, ensuring that the data used for risk assessments is accurate and up to date.

Continuous Improvement
Continuously monitor model performance and refine risk models to ensure accuracy and effectiveness in an evolving risk landscape.

Requirements

Experience and Skills:

Essential

Degree in Data Science, Mathematics, Computer Science, or a related field
Over 2 years data science experience within risk management, insurance, lending or similar.
Proven track record of applying machine learning and statistical models
Experience working with large-scale datasets and integrating data from multiple sources
Proficiency in Python, or similar programming languages
Experience with statistical analysis and machine learning frameworks
Knowledge of Large Language Models and related AI modelling tools
Strong expertise in SQL for data querying, manipulation, and transformation
Capable of turning data into captivating, compelling and actionable insight
Able to communicate effectively with both key stakeholders and external parties
Confident in constructively challenging at all levels
Independent, critical and creative thinker
Excellent problem-solving skills
Enjoys working in a fast-paced, collaborative environment
Open, honest & approachable

Desirable

Familiarity with big data tools and platforms
Experience with data visualisation tools
Knowledge of risk management practices and frameworks
Understanding of cloud computing platforms and their application in data science

Benefits

The salary on offer for this role is £65,000 to £70,000 per annum, depending on experience.

In return for helping us to grow, we'll offer you company equity, meaning you own a piece of this business we are all working so hard to build.