11 дней назад
Senior Credit Risk Analyst (SQL/Tableau)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Credit Risk Analyst (SQL/Tableau): Owning credit insight for a business division by automating reporting, analysing portfolio performance and translating risk data into decisions with an accent on SQL, Tableau, credit analytics, and commercial partnering. Focus on designing decision-grade analytical products, identifying emerging risks, influencing credit policy, and preventing losses through evidence-based recommendations.
Location: Crewe, England, United Kingdom; hybrid working with office hours Monday to Friday, 8:30 am–5:00 pm
Company
develops sustainable mobility, connectivity, and technology solutions for businesses, including e-mobility offerings that support the energy transition.
What you will do
- Act as the embedded credit analytics partner for operational, commercial, and senior leadership teams.
- Set the analytical agenda by identifying emerging risks, analytical opportunities, and performance improvement initiatives.
- Review and rationalise reporting to focus management information on business decisions.
- Design and implement automated SQL and Tableau reporting and analytics solutions.
- Deliver root-cause analysis, trend identification, and predictive insights across portfolio performance, defaults, recoveries, bad debt, and customer behaviour.
- Provide evidence for credit policy, risk appetite, limit-setting, and strategic decisions.
Requirements
- Advanced SQL skills, including multi-stage queries, data modelling, optimisation, and documentation against a large data warehouse.
- Advanced Tableau skills, including architecting dashboards and data sources from scratch.
- Advanced Excel skills and experience building, stress-testing, and defending decision-making models.
- Experience automating manual reporting processes and demonstrating measurable time and risk savings.
- Significant experience in credit, risk, portfolio, or commercial analytics in a complex business environment.
- Strong credit and risk knowledge, commercial judgement, senior stakeholder influence, and business partnering skills.
Nice to have
- Degree in Data Analytics, Data Science, Mathematics, Statistics, Economics, Finance, or a related discipline.
Culture & Benefits
- Hybrid working with real autonomy.
- Competitive pay, potential bonus, and a range of basic benefits.
- Opportunity to help build a new data science capability within Credit.
- Inclusive culture focused on innovation, agility, continuous improvement, and accessibility.
- Employee health, wellbeing, inclusion, community, volunteering, and payroll-giving initiatives.
Hiring process
- Apply online through the company’s recruitment process.
- Contact the talent team for additional information about the role or working at .
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