Master’s Degree Fellow – Credit Risk, LGD, Capital/RWA, Pricing, SQL/Python

Job not on LinkedIn

🔥 25 minutes ago

🇧🇷 Brazil – Remote

💵 R$9k / month

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔙 Backend Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sistema Fibra

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1972

🤝 B2B

🤝 Non-profit

📚 Education

B2B • Non-profit • Education

Sistema Fibra is a civic organization based in Brasília that focuses on enhancing the competitiveness of industries and entrepreneurship through representation and support. It brings together various entities, including Sesi, Senai, and IEL, to promote industrial growth and workforce development in Brazil.

📋 Description

• 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

• 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

• Fellowship stipend: BRL 9,000.00 • Possibility of fellowship renewal or permanent employment • Remote work • Availability for 40 hours per week