SCIB Methodology Data Analytics - Boadilla del Monte, Comunidad de Madrid, España - SDi Digital Group

Descripción

SCIB Methodology Data Analytics & Models AnalystCountry : Spain

SCIB Models&Data is looking for a Senior Risk Modeling Analyst, based in our Boadilla del Monte office.

WHY YOU SHOULD CONSIDER THIS OPPORTUNITY

At Santander () we are key players in the transformation of the financial sector. Do you want to join us?

Credit Risk, Interest Rate Risk, liquidity risk, operational risk, reputational risk There are many types of risks, that's why its analysis and quantification is key for our purpose of being a Simple, Personal and Fair bank.

Working on risks means doing it from a management perspective that contributes to the sustainable progress of people and companies.

Santander is proud of being an organization where there are equal opportunities regardless of gender identity, culture and disability.

Our mission is to contribute to help more people and business prosper.

WHAT YOU WILL BE DOING

As a Senior Risk Modeling Analyst , you will develop risk measurement, capital, and forecasting models for Santander's Corporate and Investment Banking businesses.

We need someone like you to help us in different fronts :

• Support the development and maintenance of Credit Risk capital and forecasting models for Santander's CIB portfolios (Large Corporates, Project Finance, Banks, Insurance Companies, etc)
• Work with other teams within risk and business to develop modeling solutions and ad-hoc analyses to drive new initiatives, improve business processes and deliver value using data / model driven decisions
• Design, develop and maintain code used for data engineering and data science tasks in order to prepare, manipulate and analyze large internal and external datasets using (mainly) Python, SQL, R or SAS
• Assist in preparing materials for presentations, documents or business cases to senior management, internal stakeholders, and regulatory bodies as needed

EXPERIENCE

At least years experience in Credit Risk Model development or related role

EDUCATION

• Degree in Statistics, Mathematics, Actuarial Science, Engineering, Physics, or another highly quantitative field with a track record of academic excellence
• MSc in Finance or quantitative subject desirable

SKILLS & KNOWLEDGE

• Proficiency in programming languages : Python (mandatory) and R, SQL or SAS; and a high level of familiarity with Microsoft Office tools.
• Excellent oral and written communication skills. Ability to effectively convey findings and insights in a clear and concise manner to audiences with varying technical backgrounds.

SCIB