FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Risk Data Scientist
Credem BancaRisk Data Scientist developing and optimizing data systems for regulatory risk management in banking. Involves stakeholder collaboration and data migration in a hybrid work environment.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in developing and optimizing Key Risk Indicator systems for regulatory oversight, with strong experience in data migration and cloud-based data management. Demonstrates expertise in Python, SQL, and R, applying data science principles to risk management in the banking sector.
Highest-signal resume keywords
Python ProgrammingSQL Database ManagementR ProgrammingData Migration to Google BigQueryRisk Data Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Key Risk Indicator DevelopmentData Lineage ManagementData History TrackingData Science PrinciplesCloud-Based Data Solutions
Soft Skills
Collaboration with StakeholdersCommunication with Regulatory Authorities
Tools & Technologies
Google BigQueryTeradataSAS
Industry Keywords
BankingRisk ManagementRegulatory ComplianceData Governance
Tech Stack
Tools & technologiesBigQueryCloudPythonSQL
About the role
Key responsibilities & impact- Sviluppare e ottimizzare i sistemi che producono Key Risk Indicator (KRI) per la vigilanza regolamentare.
- Gestire la migrazione dei dati da sistemi legacy Teradata e SAS verso Google BigQuery.
- Costruire e mantenere la data lineage, la storia del dato, dalla produzione alla destinazione finale.
- Collaborare con stakeholder (IT, crediti, compliance) e interfacciarti con le autorità di vigilanza.
Requirements
What you’ll need- 3-5 anni di esperienza in ambito bancario o in consulenza su temi di risk e dati.
- Conosci bene Python, SQL e R e hai dimestichezza con logiche da Data Scientist applicate al rischio.
- Hai già lavorato sui sistemi che producono i dati, con un approccio orientato al Cloud.
Benefits
Comp & perks- MBO
- Welfare
- Assicurazione Sanitaria
- Fondo Pensione
- Ticket 8€