4 дня 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): Building automated, decision-grade credit reporting and analytics for a business division with an accent on portfolio performance, default rates, recoveries, bad debt, and customer behaviour. Focus on designing SQL and Tableau solutions, conducting root-cause and predictive analysis, and influencing credit policy and strategic decisions through evidence.
Location: Crewe, England, United Kingdom; office-based working Monday to Friday, 8:30 am to 5:00 pm
Company
develops sustainable mobility, connectivity, and technology solutions that help businesses adapt to changing market conditions.
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, performance opportunities, and divisional priorities.
- Review and reshape manual reporting into focused, decision-oriented management information.
- 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 for large data warehouses.
- Advanced Tableau skills, including architecting dashboards and data sources from scratch.
- Advanced Excel skills for building, stress-testing, and defending decision-making models.
- Experience automating manual reporting processes and demonstrating the resulting time and risk savings.
- Significant experience in credit, risk, portfolio, or commercial analytics within a complex business environment.
- Strong commercial judgement, credit and risk knowledge, stakeholder influence, and experience presenting analytical recommendations to senior leadership.
Nice to have
- A degree in Data Analytics, Data Science, Mathematics, Statistics, Economics, Finance, or a related discipline.
Culture & Benefits
- Friendly, inclusive, agile, and innovative working environment.
- Focus on continuous improvement, innovation, and practical business impact.
- Competitive pay, potential bonus, and a range of core benefits.
- Support for mental health, disability inclusion, female health, fertility treatment, and pregnancy loss.
- Community, charity, volunteering, payroll-giving, and matched-funding initiatives.
Hiring process
- Apply online through the recruitment process.
- Reasonable adjustments and accessibility support are available at every stage.
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