Senior Credit Risk Analyst |

hace 1 semana


Málaga, España Ares Consultores A tiempo completo

We are seeking a seasoned Senior Credit Risk professional with expertise in credit risk analytics and statistical modelling in the banking sector.
As Senior Credit Risk Analyst, you will play a crucial role in developing the credit risk analytics area in the bank.
Key ResponsibilitiesCollect and analyze data from various sources, including internal systems and Credit Bureaus, to identify trends, patterns, and opportunities and propose changes in credit policy or marketing activities.Develop and maintain statistical models, e.g., scorecards for the credit risk area.Provide actionable insights and recommendations to stakeholders based on data analysis, helping them make informed decisions and drive business growth.Collaborate with teams within the decision and analytics area and other teams in different geographical locations.Effectively communicate complex analytical findings and insights to both technical and non-technical stakeholders through presentations, reports, and visualizations.Qualifications and ExperienceBachelor's degree in a relevant field such as Mathematics, Statistics, Economics, Quantitative Methods, Computer Science, or Engineering.
A Master's degree is preferred.Minimum of 2 years of experience in analytics or a data science field.Experience in the financial sector is preferred, especially in the retail credit risk area.Excellent analytical and problem-solving skills, with a strong attention to detail.
Algorithmic and creative approach to solving problems.Proven track record of delivering impactful insights and recommendations based on data analysis.Fluent English to collaborate with colleagues from other countries.Proficiency in data modelling methodologies and statistical analysis techniques.Practical knowledge from the UK market will be a plus.Knowledge of programming languages such as Python or R is preferred.Excellent knowledge of SQL for data extraction and manipulation.Experience in predictive modelling using logistic regression will be a plus.Good communication and presentation skills, with the ability to translate complex data into clear and actionable insights.Ability to work effectively in a fast-paced, dynamic environment, managing multiple priorities and meeting deadlines.Please submit your updated CV in English.

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