Zinia Risk Analyst – Risks (Openbank)

Santander USA; Madrid; Presencial; EUR 40.000 - 55.000; Jornada completa

Descripción de la vacante

A leading financial services provider in Madrid is seeking a Zinia Risk Analyst to manage the credit card portfolio and develop risk management strategies. The candidate will have over 4 years of experience in data management, ideally in the European credit market, with strong analytical skills in assessing profitability and risk KPIs. This role offers competitive remuneration, attractive benefits, and opportunities for growth within the company.

Servicios

Competitive remuneration

Attractive benefits package

Possibility of growth within the company

Collaborating on international projects

Excellent work environment

Formación

• 4+ years of experience in data management.
• Understanding of credit scoring and behavioral scoring models.
• Desirable knowledge in IFRS9 credit provisions.

Responsabilidades

• Manage the performance of the credit card portfolio.
• Define underwriting and enhancement policies.
• Detect new risks requiring immediate action.

Conocimientos

Data management

Analytical skills

Risk KPIs

Credit scoring

SQL

Python

Apache Spark

Fluent English

Fluent Spanish

Educación

Bachelor’s degree in a quantitative/analytical field

Herramientas

Quicksight

Descripción del empleo

Zinia Risk Analyst – Risks (Openbank)

Country: Spain

Zinia is the new checkout lending platform of the Santander Group. Zinia makes shopping simple, offering the possibility of splitting payments into interest‑free installments in a fast and transparent way, powering merchants across Europe using technology from Openbank and Santander Consumer Finance.

This is an exciting opportunity to make your contribution over a growing market within the business areas of lending, cobranded credit cards and buy‑now‑pay‑later with a solid expansion across different countries with global leading merchants.

Zinia leverages the technological resources and expertise of Openbank, the digital‑native bank of the Santander Group, which is currently rolling out its international expansion plans. Through a simple and flexible banking model, Openbank offers customers the possibility to manage their finances on the website or app.

Mission and responsibilities

In Openbank’s credit risk team you will work with many areas in different tasks across functions, products, and regions to develop the portfolio, monitor portfolio performance and ensure that the business is on target for profitability and performance. Members of the Risk team are involved firsthand in new business initiatives, improvements to the current business, or adapting the business to regulatory and legal changes.

We are looking for a professional who specializes in data managing and has a 360‑degree view of the credit product lifecycle: admission, limits management and portfolio management. An expert in defining data processes and then being able to make data‑driven decisions combining business needs and seeking a balance of risk‑adjusted profitability, balancing knowledge of portfolio management, modelling, business with a quantitative and programming base. Someone who will lead the initiative for preventative and reactive actions towards any factors impacting credit performance and portfolio profitability.

Main tasks of this role

• Structure risk management data.
• Manage the performance of the credit card portfolio.
• Define short‑ and long‑term underwriting and enhancement policies based on portfolio and business requirements.
• Work with Risk Modeling team to design, develop and implement credit risk models both for admission and limit management.
• Manage risk appetite based on business cases.
• Maintain key policies, procedures, and controls.
• Collaboration with key stakeholders in project development.
• Efficient intake processes and portfolio performance by controlling risk assumption.
• Detect new risks that require immediate action and implement action plans.
• Identify early corrective actions on deteriorating receivables, in collaboration with the recovery management team.

To be successful in the role you must have

• +4 years of experience in data management.
• Bachelor’s degree in a quantitative/analytical field, such as engineering, statistics, math, economics, or management.
• Desirable Analytical skills on main profitability and risk KPIs, and modelling data (cost of credit, VMG, NPL, PD, LGD).
• Desirable knowledge on IFRS9 credit provisions.
• Desirable experience in the European credit market.
• Desirable understanding of credit scoring and behavioural scoring models, especially for credit card portfolios.
• Experience with visualization tools (Quicksight), and programming languages (SQL, Python, Apache Spark…)
• Fluent English and Spanish.

What do we offer

• Joining a dynamic and agile company undergoing international expansion.
• Working in start‑up mode with the support of the Santander Group.
• Competitive remuneration and attractive benefits package.
• Possibility of growth within the company and the Group.
• Collaborating on international projects in different countries.
• Excellent work environment, social clubs and frequent events.

Would you like to grow with us? Join our team!

Openbank / ODS is an equal opportunity employer. All applicants will be considered as equal without paying attention to gender identity, sexual orientation, ethnicity, religion, age, political orientation, union membership nor disability status.

We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify, and build.

The personal data you provide as well as any data generated during the selection process are confidential and will be processed by Open Bank, S.A./ Open Digital Services, S.L. with registered office at Plaza de Santa Bárbara 2, 28004 (Madrid), for the sole purpose of managing your participation in the selection processes and, where appropriate, to formalise your recruitment.

For further information about your rights and data protection, please read the ODS/Openbank Privacy Policy applicable to this type of data processing here.