Nuestros principios
Estrategia
Creando una institución financiera global
Ejecución
Los resultados son lo único que importa
Equipo
Nuestro mayor valor son las personas
¿Por qué ID Finance
Trabajo en equipo
Impacto
Conciliación
Diversidad
Transparencia
Trabajo en equipo
Senior Risk Analyst
ROLE PURPOSE
To collect, organize and interpret statistical information to transform to specific actions.
You will also monitor performance and quality control plans to identify improvements.
PRIMARY RESPONSIBILITIES
- Monitor key credit card portfolio metrics: approval rate, application volumes, conversion rates, delinquency, charge-off, cost of risk, etc.
- Conduct regular portfolio analysis: segmentation, vintage/cohort analysis.
- Test and evaluate external data providers or decision tools (e.g., credit bureaus, fraud prevention systems, income verification services), and support their integration into the decision-making process.
- Support the development and enhancement of risk strategies (acquisition, limit management, collections, cross-sell).
- Participate in the design and testing of new scoring models and underwriting policies.
- Collaborate closely with Data Science, Collections, Marketing, Product, and IT teams.
- Prepare dashboards and presentations for the management.
KNOWLEDGE & SKILLS
- Strong analytical and mathematical skills and mind – at least 3 years of in credit risk, portfolio analytics, or scorecard development — ideally in the credit cards segment
- Strong Knowledge of and experience with databases and statistics (SQL, Python) – at least 3 years of experience.
- Data visualization packages (Tableau, Looker, etc.).
- Proactive approach – you have proven experience in implementing your own proposals to impact visibly Risk KPIs.
- High attention to detail.
- Good organisational/time management skills.
- Analytical mindset, strong attention to detail and ability to get insights out of data. Solid understanding of the credit lifecycle (application usage repayment
- default).
- Knowledge of statistics and experience using statistical packages for analyzing datasets (Python, SPSS, SAS etc.).
- Methodological way of working and ability to cope with competing demands and prioritize tasks accordingly.
PREFERRED QUALIFICATIONS & EXPERIENCE
- Degree in Statistics or Mathematics or a related subject involving math’s, such as economics or data science.
- Fluent English.
- At least 3 year of experience as Data Analyst / Credit Analyst within Risk Department.
- Ability to work independently and manage multiple priorities.
- Analytical and strategic mindset.
BENEFITS
Private health and dental insurance
Discounted gym membership
Freedom to work from home two days a week
Kitchen with free coffee and fruit each Monday, Wednesday and Friday and snacks
Team building activities and work in an international and passionate environment
Don’t miss the opportunity to be part of a company that values innovation and talent!
Join us and take your career to the next level
Conecta con nosotros [email protected]
