10 Ofertas de Database Management en Madrid

We're seeking an expert Database Administrator to lead our database strategy in Madrid, Spain.

About the Role :

As a key member of our senior development team, you'll be responsible for designing, testing, and implementing databases that meet the evolving needs of our organization. Your expertise will drive business growth through efficient data management and insights.

• Manage database performance, locking, process blocking, and optimization to ensure seamless data retrieval and storage.
• Plan, manage, and verify backup and restoration processes to maintain data integrity and security.
• Create and maintain monitoring and metrics tooling for high-level and granular database insights, enabling data-driven decisions.
• Develop and deploy new database objects, including tables, stored procedures, views, and triggers to support application development.
• Create complex functions, scripts, stored procedures, and triggers to support application development, ensuring scalability and reliability.
• Design and develop relational database reports using SSRS to provide actionable insights.

Requirements :

• Advanced understanding of relational database architecture and infrastructure (MSSQL).
• Knowledge of SSMS, SSRS, and supporting tooling.
• Expertise in optimizing MSSQL, supporting HA / DR, and system / software development lifecycles.
• Experience with cloud database storage technologies.

Your Benefits :

As a valued member of our team, you'll enjoy a dynamic work environment, opportunities for growth and development, and a competitive compensation package.

This is a unique chance to make a meaningful impact on our organization's success. If you have a passion for database management and want to work with a forward-thinking company, we encourage you to apply.

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Data Analyst (Modeling and Optimization Expert), madrid

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Client: Location:

madrid, Spain

Job Category:

Other

-

EU work permit required:

Yes

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Job Reference:

263532413676683264032460

Job Views:

2

Posted:

23.07.2025

Expiry Date:

06.09.2025

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Job Description:

The **Atradius Group **provides trade credit insurance, surety and collections services worldwide, and has a presence through 160 offices in 52 countries. The products offered by Atradius protect companies around the world against the default risks associated with selling goods and services on credit. At Atradius, they believe in personal development and the Growth Mindset. Our Culture is based on teamwork, reliable accountability, constantly improving and unrivalled service.**Department Description**:Atradius IT Services (ITS) is part of the Atradius Group, and is responsible for all worldwide ICT services for Atradius. ITS is a global operation with staff in 12 countries driving the digital transformation and a wide range of services, projects, vendors and outsourcing. Data is a key resource we need to leverage to follow our strategy successfully. Deploying the latest Big data, Artificial Intelligence and Machine Learning technologies to existing (and new) processes can increase efficiency and enrich for example the underwriting processes and can provide new market and trade insights for customers. If you feel excited by the prospect of optimizing and re-designing Atradius’ processes and models to support our next generation of products and data initiatives, you are in the right place!**Responsibilities**:- Analyze complex datasets to propose the right data modeling technique or approach based on requirements- Collaborate with Data Engineers, Data Analysts, Power BI Engineers, and Data Architects in the construction and optimization of Databricks medallion architecture layers (Silver and Gold) and sources consolidation.- Own, optimize and evolve existing data models to improve performance and accuracy.- Design and implement data marts based on different consumption methodologies (Power BI, API, ML, etc.) to ensure high-performance.- Stay up-to-date with the latest trends and advancements in data analytics techniques and tools.**Qualifications**:- Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.- Minimum of 3 years of experience in a Data Analyst role.- Skills to interpret and transform business requirements, processes, business goals and rules into conceptual, logical, and physical database design.- Strong proficiency in multiple data modeling and optimization techniques and understanding their benefits and weaknesses.- Strong proficiency in SQL for data analysis and manipulation.- Experience with Databricks and Spark.- Strong communication skills and used to work with business departments to understand the data value.- **Fluent in spoken and written English.**:- Must be able to work under pressure when necessary.- Self-motivated and proactive in the working environment.**Nice to have**- Data Architecture design skills and experience in modeling enterprise data in a data warehouse or data lake.- Experience working in a similar environment/sector (Financial Services).- Knowledge of Databricks optimization techniques.- Visualization and data modeling best practices skills in Power BI.**What do we offer?**- A competitive salary- **Hybrid work, one day at the office 4 days from home**:- A dynamic, international and challenging work environment- Training and support to reach your full potential including the opportunity for continuous professional development- Attractive terms and conditions, including competitive salary, pension package and a range of flexible benefits and rewards- Challenging tasks with individual development and training opportunities.**Date Posted**: Posted 6 hours ago**Location**: Madrid, Spain**Job Title**: Data Analyst (Modeling and Optimization Expert)

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Data Scientist, Predictive Modeling in Credit Risk - SCF HQ

Santander Boadilla del Monte, Community of Madrid, Spain

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Data Scientist, Predictive Modeling in Credit Risk - SCF HQ

Santander Boadilla del Monte, Community of Madrid, Spain

Join to apply for the Data Scientist, Predictive Modeling in Credit Risk - SCF HQ role at Santander

Get AI-powered advice on this job and more exclusive features.

Country: Spain

SCF Headquarters Models is looking for a Data Scientist, Predictive Modelling and Statistics in Credit Risk based in our European offices (Madrid based).

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?

Santander Consumer Finance focuses on business development related to consumer finance products, sales channels and commercial agreements with dealers, vehicle manufacturers or retail distribution establishments, as well as commercial functions associated with direct sales (branches, call centers or digital channels) and indirect sales (through third parties) of consumer finance products.

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 Data Scientist, Predictive Modelling and Statistics in Credit Risk you will develop, monitor and maintain models, with a first focus in Credit Risk models in Santander Consumer Finance.

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

• Development of risk models (admission, behaviour, fraud, propensity/affordability, stress, capital, provisions, residual value, etc.): plan and execute models workplans agreed with different sponsors; develop models according to internal standards and guidelines, different sponsors needs and regulatory requirements, subject to data availability and data Quality; document and deliver the materials according to internal Group/local standards; support/participate during implementation phase (pre-production, allocation, etc.); securitization processes support; etc.
• Monitoring of risk models performance and report: execute and/or support the execution of monitoring reports; analyze the results of the monitoring on a proper and timely manner, proposing the actions which are needed in each case.
• Maintenance of Risk models: assure an adequate maintenance of models in force executing the actions which are needed in each case (recalibrate, adjust, time window updates, etc.) according to the results of the models monitoring, internal standards and different sponsor’s needs.
• Governance of risk models: accompany the governance processes and supervisory exercises (Internal Validation, Internal Audit, ECB/NCAs), assuring that the recommendations/obligations related to the development and maintenance of models are met on a proper and timely manner.
• Transformation and evolution projects: participate and/or sponsor local and global projects related to the digital transformation strategy in SCF (Data as a Service, migrations to new platforms, bottom-up approaches in stress models, industrialization/automation, etc.).
• Adaptation of standards and guidelines to SCF idiosyncrasy and propose new ones for digital approaches.
  
  

Experience

2-4 years of experience in modelling in Finance field or similar needed; Data Science/Big Data needed; Credit Risk, Operational Risk and Market/ALM knowledge valuable; expected loss valuable.

EDUCATION

Quantitative education oriented (Engineering, degree Physics / Maths / Programming / Statistics / Economics / Insurance), master in Finance, Quantitative Finance, Data Science / Big Data / Machine Learning / Artificial Intelligence / Digital Transformation

Skills & Knowledge

Fluent English (C1), spoken and written; high level of programming skills in different languages (SAS, Python, R, Others); project management skills valuable (PMI, Agile, etc); team work; multicultural environments

If you want to know more about us, follow us on

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• Seniority level Entry level

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• Job function Finance, Analyst, and Information Technology

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Data Scientist, Predictive Modeling in Credit Risk - SCF HQ

Santander Boadilla del Monte, Community of Madrid, Spain

Join or sign in to find your next job

Join to apply for the Data Scientist, Predictive Modeling in Credit Risk - SCF HQ role at Santander

Data Scientist, Predictive Modeling in Credit Risk - SCF HQ

Santander Boadilla del Monte, Community of Madrid, Spain

Join to apply for the Data Scientist, Predictive Modeling in Credit Risk - SCF HQ role at Santander

Get AI-powered advice on this job and more exclusive features.

Country: Spain
SCF Headquarters Models is looking for a Data Scientist, Predictive Modelling and Statistics in Credit Risk based in our European offices (Madrid based).
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?
Santander Consumer Finance focuses on business development related to consumer finance products, sales channels and commercial agreements with dealers, vehicle manufacturers or retail distribution establishments, as well as commercial functions associated with direct sales (branches, call centers or digital channels) and indirect sales (through third parties) of consumer finance products.
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 Data Scientist, Predictive Modelling and Statistics in Credit Risk you will develop, monitor and maintain models, with a first focus in Credit Risk models in Santander Consumer Finance.
We need someone like you to help us in different fronts:

• Development of risk models (admission, behaviour, fraud, propensity/affordability, stress, capital, provisions, residual value, etc.): plan and execute models workplans agreed with different sponsors; develop models according to internal standards and guidelines, different sponsors needs and regulatory requirements, subject to data availability and data Quality; document and deliver the materials according to internal Group/local standards; support/participate during implementation phase (pre-production, allocation, etc.); securitization processes support; etc.
• Monitoring of risk models performance and report: execute and/or support the execution of monitoring reports; analyze the results of the monitoring on a proper and timely manner, proposing the actions which are needed in each case.
• Maintenance of Risk models: assure an adequate maintenance of models in force executing the actions which are needed in each case (recalibrate, adjust, time window updates, etc.) according to the results of the models monitoring, internal standards and different sponsor’s needs.
• Governance of risk models: accompany the governance processes and supervisory exercises (Internal Validation, Internal Audit, ECB/NCAs), assuring that the recommendations/obligations related to the development and maintenance of models are met on a proper and timely manner.
• Transformation and evolution projects: participate and/or sponsor local and global projects related to the digital transformation strategy in SCF (Data as a Service, migrations to new platforms, bottom-up approaches in stress models, industrialization/automation, etc.).
• Adaptation of standards and guidelines to SCF idiosyncrasy and propose new ones for digital approaches.
  

Experience
2-4 years of experience in modelling in Finance field or similar needed; Data Science/Big Data needed; Credit Risk, Operational Risk and Market/ALM knowledge valuable; expected loss valuable.
EDUCATION
Quantitative education oriented (Engineering, degree Physics / Maths / Programming / Statistics / Economics / Insurance), master in Finance, Quantitative Finance, Data Science / Big Data / Machine Learning / Artificial Intelligence / Digital Transformation
Skills & Knowledge
Fluent English (C1), spoken and written; high level of programming skills in different languages (SAS, Python, R, Others); project management skills valuable (PMI, Agile, etc); team work; multicultural environments
If you want to know more about us, follow us on

Seniority level

• Seniority level Entry level

Employment type

• Employment type Full-time

Job function

• Job function Finance, Analyst, and Information Technology

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Data Scientist, Predictive Modeling in Credit Risk - SCF HQ

Santander Boadilla del Monte, Community of Madrid, Spain

Join or sign in to find your next job

Join to apply for the Data Scientist, Predictive Modeling in Credit Risk - SCF HQ role at Santander

Data Scientist, Predictive Modeling in Credit Risk - SCF HQ

Santander Boadilla del Monte, Community of Madrid, Spain

Join to apply for the Data Scientist, Predictive Modeling in Credit Risk - SCF HQ role at Santander

Get AI-powered advice on this job and more exclusive features.

Country: Spain
SCF Headquarters Models is looking for a Data Scientist, Predictive Modelling and Statistics in Credit Risk based in our European offices (Madrid based).
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?
Santander Consumer Finance focuses on business development related to consumer finance products, sales channels and commercial agreements with dealers, vehicle manufacturers or retail distribution establishments, as well as commercial functions associated with direct sales (branches, call centers or digital channels) and indirect sales (through third parties) of consumer finance products.
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 Data Scientist, Predictive Modelling and Statistics in Credit Risk you will develop, monitor and maintain models, with a first focus in Credit Risk models in Santander Consumer Finance.
We need someone like you to help us in different fronts:

• Development of risk models (admission, behaviour, fraud, propensity/affordability, stress, capital, provisions, residual value, etc.): plan and execute models workplans agreed with different sponsors; develop models according to internal standards and guidelines, different sponsors needs and regulatory requirements, subject to data availability and data Quality; document and deliver the materials according to internal Group/local standards; support/participate during implementation phase (pre-production, allocation, etc.); securitization processes support; etc.
• Monitoring of risk models performance and report: execute and/or support the execution of monitoring reports; analyze the results of the monitoring on a proper and timely manner, proposing the actions which are needed in each case.
• Maintenance of Risk models: assure an adequate maintenance of models in force executing the actions which are needed in each case (recalibrate, adjust, time window updates, etc.) according to the results of the models monitoring, internal standards and different sponsor’s needs.
• Governance of risk models: accompany the governance processes and supervisory exercises (Internal Validation, Internal Audit, ECB/NCAs), assuring that the recommendations/obligations related to the development and maintenance of models are met on a proper and timely manner.
• Transformation and evolution projects: participate and/or sponsor local and global projects related to the digital transformation strategy in SCF (Data as a Service, migrations to new platforms, bottom-up approaches in stress models, industrialization/automation, etc.).
• Adaptation of standards and guidelines to SCF idiosyncrasy and propose new ones for digital approaches.
  

Experience
2-4 years of experience in modelling in Finance field or similar needed; Data Science/Big Data needed; Credit Risk, Operational Risk and Market/ALM knowledge valuable; expected loss valuable.
EDUCATION
Quantitative education oriented (Engineering, degree Physics / Maths / Programming / Statistics / Economics / Insurance), master in Finance, Quantitative Finance, Data Science / Big Data / Machine Learning / Artificial Intelligence / Digital Transformation
Skills & Knowledge
Fluent English (C1), spoken and written; high level of programming skills in different languages (SAS, Python, R, Others); project management skills valuable (PMI, Agile, etc); team work; multicultural environments
If you want to know more about us, follow us on

Seniority level

• Seniority level Entry level

Employment type

• Employment type Full-time

Job function

• Job function Finance, Analyst, and Information Technology

Referrals increase your chances of interviewing at Santander by 2x

Get notified about new Data Scientist jobs in Boadilla del Monte, Community of Madrid, Spain .

Madrid, Community of Madrid, Spain 1 week ago

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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

#J-18808-Ljbffr

Data Scientist, Predictive Modeling in Credit Risk - SCF HQ page is loaded Data Scientist, Predictive Modeling in Credit Risk - SCF HQ Apply locations Boadilla del Monte time type Full time posted on Posted 3 Days Ago job requisition id Req1464876 Data Scientist, Predictive Modeling in Credit Risk - SCF HQCountry:
Spain
SCF Headquarters Models is looking for a Data Scientist, Predictive Modelling and Statistics in Credit Risk based in our European offices (Madrid based).WHY YOU SHOULD CONSIDER THIS OPPORTUNITYAt Santander ( ) we are key players in the transformation of the financial sector. Do you want to join us?Santander Consumer Finance
focuses on business development related to consumer finance products, sales channels and commercial agreements with dealers, vehicle manufacturers or retail distribution establishments, as well as commercial functions associated with direct sales (branches, call centers or digital channels) and indirect sales (through third parties) of consumer finance products.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 DOINGAs a
Data Scientist, Predictive Modelling and Statistics in Credit Risk
you will
develop, monitor and maintain models, with a first focus in Credit Risk models in Santander Consumer Finance.We need someone like you to help us in different fronts:
1. Development of risk models (admission, behaviour, fraud, propensity/affordability, stress, capital, provisions, residual value, etc.):
plan and execute models workplans agreed with different sponsors;
develop models according to internal standards and guidelines, different sponsors needs and regulatory requirements, subject to data availability and data Quality;
document and deliver the materials according to internal Group/local standards;
support/participate during implementation phase (pre-production, allocation, etc.);
securitization processes support;
etc.2. Monitoring of risk models performance and report:
execute and/or support the execution of monitoring reports;
analyze the results of the monitoring on a proper and timely manner, proposing the actions which are needed in each case.3. Maintenance of Risk models:
assure an adequate maintenance of models in force executing the actions which are needed in each case (recalibrate, adjust, time window updates, etc.) according to the results of the models monitoring, internal standards and different sponsor’s needs.4. Governance of risk models:
accompany the governance processes and supervisory exercises (Internal Validation, Internal Audit, ECB/NCAs), assuring that the recommendations/obligations related to the development and maintenance of models are met on a proper and timely manner.5. Transformation and evolution projects:
participate and/or sponsor local and global projects related to the digital transformation strategy in SCF (Data as a Service, migrations to new platforms, bottom-up approaches in stress models, industrialization/automation, etc.).6. Adaptation of standards and guidelines to SCF idiosyncrasy and propose new ones for digital approaches.EXPERIENCE2-4 years of experience in modelling in Finance field or similar needed;
Data Science/Big Data needed;
Credit Risk, Operational Risk and Market/ALM knowledge valuable;
expected loss valuable.EDUCATIONQuantitative education oriented (Engineering, degree Physics / Maths / Programming / Statistics / Economics / Insurance), master in Finance, Quantitative Finance, Data Science / Big Data / Machine Learning / Artificial Intelligence / Digital TransformationSKILLS & KNOWLEDGEFluent English (C1), spoken and written;
high level of programming skills in different languages (SAS, Python, R, Others);
project management skills valuable (PMI, Agile, etc);
team work;
multicultural environmentsIf you want to know more about us, follow us on
/>//es.Linkedin.Com/company/banco-santanderSimilar Jobs (5)
Model & Forecasting Credit Risk Sr. Analyst I locations Boadilla del Monte time type Full time posted on Posted 26 Days Ago Insurance Productivity and Performance Business Analyst - SCF HQ locations Boadilla del Monte time type Full time posted on Posted 4 Days Ago Analytical Marketing Specialist - SCF HQ locations Boadilla del Monte time type Full time posted on Posted 17 Days AgoOur work touches 140 million lives every day. How? By always innovating, sharing our experiences, questioning how we do things and adapting to new challenges.As we keep reinventing ourselves for the digital age, you’ll find that with us, even your smallest action will have a massive impact.
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