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Leadenhall Search And Selection

Leadenhall Search And Selection

Graduate Data Analyst

Salary: Competitve

Location: Milton keynes, Buckinghamshire

Application Deadline: Ongoing

Job Type: Graduate job

Contract Type: Contract

The job

Summary of the job role

Graduate Data science Analyst Are you a Economics/ Mathematics/ Statistics/ Numerical degree graduate looking for an opportunity to start your career in financial services? Leadenhall Search and Selection are recruiting an exciting opportunity to develop your career in Quantitative credit risk analytics in one of the UK’s leading disruptive unsecured lenders. The job is project based and requires good time management skills, ability to juggle many projects simultaneously and ability to secure buy in for recommendations from senior stake holders. This is an entry level position, so no formal experience is necessary; however a degree or equivalent in an analytical or mathematical subject is essential (eg. mathematics, statistics, computing). Full training and support will be given to develop a career in financial services as an Analyst. Purpose: · Provide business with data based insight and recommendations for changes and improvements to product range, application process, strategy design, collections activities and operations processes. · Build and Develop capability within the organization to design, monitor and enhance credit and fraud risk strategies and policies. · Produce reporting to monitor and provide insight across the customer journey and lifecycle, making recommendations to change current processes and strategies. · Provide insight into portfolio and segment trends through targeted analysis, forecasting and the development of regular MI. · Work closely with colleagues across the group to deliver projects. Key Qualifications: · Degree from a top university/college or equivalent in technical field (eg. mathematics, physics, statistics, computing) · Ideally Proficient using analytical software packages (eg. Excel, Python, R) · Excellent communication skills and ability to convey complex ideas/insights to non-technical members of the team · Ability to work in an extremely fast paced environment · Excellent verbal and written communication skills · Extremely self-motivated / Operate independently Recommended skills/experience: · Experience in working with medium to large datasets for analytical purposes · Experience in transforming large datasets · Ability to create insightful visualizations based on data

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