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Master’s Degree Fellow – Credit Risk, LGD, Capital/RWA, Pricing, SQL/Python
Sistema Fibra. Translate collateral into economic and risk variables .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in credit risk analysis, financial simulation, and quantitative business case structuring, with a strong foundation in SQL and Python. Capable of translating complex collateral data into actionable economic and risk variables while collaborating with specialists to validate assumptions and indicators.
Highest-signal resume keywords
Credit Risk KnowledgeLGD KnowledgeFinancial Simulation KnowledgeSQL/Python ProficiencyPortfolio Analysis Knowledge
ATS Keywords
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Hard Skills
Credit Risk AnalysisFinancial SimulationQuantitative Business Case StructuringScenario ModelingPortfolio AnalysisCapital/RWA KnowledgeRecovery KnowledgePricing KnowledgeRisk Appetite KnowledgeCredit Limits Knowledge
Soft Skills
Interpreting Business RulesCollaboration with Specialists
Certifications & Qualifications
Master's Degree
Industry Keywords
Economic VariablesRisk VariablesCollateral ManagementInnovation ProjectsImplemented Projects
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Translate collateral into economic and risk variables
- Map how sufficiency, excess release, and collateral baskets affect credit decisions
- Design business rules for capital, LGD, recovery, limit, and pricing simulations
- Support pilot prioritization based on economic value
- Validate indicators and assumptions with capital, risk, and credit specialists
- Structure quantitative business cases for pilots
- Work on an innovation project in partnership with Inova Talentos
Requirements
What you’ll need- Completed master’s degree
- Degree in Finance, Economics, Engineering, Statistics, Applied Mathematics, Actuarial Science, Quantitative Business Administration, Data Science, or related fields
- Knowledge of credit risk
- Knowledge of LGD
- Knowledge of recovery
- Knowledge of capital/RWA
- Knowledge of pricing
- Knowledge of risk appetite
- Knowledge of credit limits
- Knowledge of financial simulation
- Knowledge of portfolio analysis
- Knowledge of scenario modeling
- Knowledge of SQL/Python
- Ability to interpret business and regulatory rules
- Experience with implemented projects related to financial collateral, preferably in production
- Demonstrated measurable results
- Technical or scientific publications, or intellectual property registrations, related to the subject are desirable
Benefits
Comp & perks- Fellowship stipend: BRL 9,000.00
- Possibility of fellowship renewal or permanent employment
- Remote work
- Availability for 40 hours per week