Credit Risk Analyst

Credit Risk Analyst

At Alpha Bank, we are shaping the future of banking in Greece.

Through our large-scale Transformation Program, we are changing the way we operate, the way we think and the way we service our Customers.

• Customers are our Reason. We innovate to meet their new challenging needs and provide them with the best possible solutions.
• We are fast and agile. We use advanced analytics to make decisions and drive automation through all Customer Journeys.
• We practice Excellence and this is what we are looking for in the people we partner with.

If you are a change enthusiast who sets ambitious goals and works with a sense of purpose, we want to get to know you!

Join our team and #be_part_of_tomorrow

#AlphaBank #TheAlphaBlueprint #Tomorrow

The Credit Risk Analyst will be placed in the Credit Risk Methodologies Division, which is responsible for developing and applying the methods used in measuring and assessing credit risk at Group level as well as for submitting updates to the competent Committees of the Bank and of the Group Companies. The aforementioned Division also develops the credit risk models used in impairment testing at Group level, in accordance with the International Accounting Standards.

The ideal candidate should possess problem-solving and analytical skills along with sound judgment and critical thinking and should have the ability to communicate advanced concepts in a concise and logical way. This role will suit candidates who thrive on delivering results in a fast-paced environment where their work has a high impact.

What you will be doing

• Analyzing credit risk models’ specification documents and translating them into functional specifications for the purpose of system deployment in the Moody’s Credit Lens.
• Analyzing published financial statements and income statements and interpreting the respective financial results through fundamental analysis’ principles and metrics (i.e. financial ratios and cash flow analysis, etc.).
• Performing process and advanced analysis of structured databases regarding credit assessment data with the use of advanced analytical tools.
• Carrying out regular reviews and updates of the system documentation (user guides, policy documents, etc.).
• Deploying credit risk models in the IT Systems of the Bank and performing User Acceptance Tests.
• Reporting on key indicators of the rating process and on the use of credit risk models.

What you need to have

• A Master’s degree in a quantitative discipline, e.g. in Engineering, Statistics, Mathematics, Quantitative Finance, Computer Science or in a related subject, which must have been completed upon employment.
• Three (3) to five (5) years of professional experience in credit risk models deployment and in the fundamental analysis context.
• Expertise/strong experience in the following areas will be considered an asset:

> Use of analytics tools such as SAS, SPSS Modeler/SPSS Statistics.

> Procedural and imperative programming languages (e.g. SQL, PL/SQL,T-SQL etc.) and use of databases.

> Coding skills in the programming scripting languages R and Python.

• Agile project/product development employing DevOps practices (e.g. automated testing).
• Project management skills coupled with strong business acumen in terms of comprehending the business and operational impact of risk management decisions.
• Excellent command of the English language (both written and spoken).

What we offer

It’s all about our people. At Alpha Bank, you will enjoy:

• A friendly and collaborative working environment that supports taking initiative and action.
• A culture that centers around learning and continuous development and encourages everyone to bring their best self to work.
• The opportunity to challenge your thinking through your participation in complex tasks and transformation projects.
• Being part of a large organization with a leading role in the Greek economy and a strong presence in the community.
• A competitive salary and benefits.

Alpha Bank offers a remote interview process and a work-from-home scheme during the implementation of the current social distancing measures.

All applications will be acknowledged and treated in utmost confidence.