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Master’s Fellow – Credit Risk, LGD, Capital/RWA, Pricing, SQL/Python
Instituto Euvaldo Lodi. 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 modeling, with a strong foundation in SQL and Python. Capable of translating complex collateral data into actionable business insights and supporting decision-making processes in financial contexts.
Highest-signal resume keywords
Credit Risk AnalysisFinancial SimulationQuantitative ModelingSQL ProgrammingPython Programming
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Credit RiskLGDRecoveriesCapital/RWAPricingRisk AppetiteCredit LimitsPortfolio AnalysisScenario ModelingBusiness Rule Design
Certifications & Qualifications
Master's Degree
Industry Keywords
Economic VariablesRisk VariablesCollateral BasketsPilot PrioritizationQuantitative Business CasesFinancial CollateralTechnical PublicationsIntellectual Property
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Translate collateral into economic and risk variables
- Map how sufficiency, surplus release, and collateral baskets affect credit decisions
- Design business rules for simulations involving capital, LGD, recoveries, limits, and pricing
- Support pilot prioritization based on economic value
- Validate metrics and assumptions with capital, risk, and credit specialists
- Structure quantitative business cases for the pilots
- Participate in an ICT-Itaú 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 Management, Data Science, or a related field
- Knowledge of credit risk, LGD, recoveries, capital/RWA, pricing, risk appetite, credit limits, financial simulation, portfolio analysis, scenario modeling, SQL/Python, and the interpretation of business and regulatory rules
- Availability to work 40 hours per week
- Experience with implemented projects related to financial collateral, preferably in production, is desirable
- Measurable results are desirable
- Technical or scientific publications, or intellectual property registrations, related to the subject are desirable
Benefits
Comp & perks- Gross monthly stipend of R$9,000.00
- Possibility of stipend renewal or permanent employment
- Remote work