Sr Pricing & Quantitative Model Risk Analyst

Purpose of Position

The Senior Pricing & Quantitative Model Risk Analyst will combine hands-on derivatives pricing expertise with independent model risk oversight. This professional will be responsible for developing, enhancing and validating pricing methodologies, assessing model assumptions and limitations, strengthening valuation controls, supporting RAROC (Risk-Adjusted Return on Capital) and other business-related studies, and providing independent review and challenge of Front Office initiatives, new products, quantitative models and valuation approaches.

The role will help ensure that pricing models and business initiatives are aligned with the firm's risk appetite, governance standards and capital allocation objectives, while driving automation, data quality and robust technical documentation to keep models transparent, reliable and fit for purpose throughout their lifecycle.

Key Responsibilities

• Develop, enhance and validate pricing methodologies, valuation tools and quantitative models used across derivatives and structured products.
• Collect, maintain and monitor market data inputs, including prices, curves, volatilities, correlations and other quantitative parameters required for pricing and risk models.
• Ensure the integrity, accuracy and completeness of market data through independent validation and control processes before its use in risk, valuation (MTM) and other business-critical systems.
• Contribute to the automation of pricing, risk and reporting processes using Python, VBA and other analytical tools.
• Perform independent review, challenge and validation of Front Office initiatives, new products, trading strategies, pricing methodologies and valuation approaches prior to implementation.
• Support the development, monitoring and enhancement of RAROC (Risk-Adjusted Return on Capital) frameworks and other business-related studies to assess risk-adjusted profitability, capital allocation and strategic opportunities.
• Assess model assumptions, limitations, calibration methodologies and performance through backtesting, benchmarking, sensitivity analysis and stress testing.
• Strengthen model governance and valuation controls by maintaining documentation, validation records, model inventories and lifecycle reviews.
• Collaborate with Trading, Risk, Finance, Operations and Technology teams to investigate pricing discrepancies, improve analytical frameworks and support business decision-making.
• Support the analysis of new business opportunities, structured transactions and strategic initiatives, ensuring alignment with the firm's risk appetite, governance standards and capital allocation objectives.

Requirements

• Bachelor's degree in Mathematics, Statistics, Engineering, Physics, Economics, Computer Science or a related quantitative discipline.
• Master's degree or professional qualification is desirable.
• Solid professional experience in derivatives pricing, quantitative analysis, model development, model validation or model risk, preferably within commodities or financial markets.
• Advanced Python skills, including numerical analysis, data handling, testing and code review.
• Knowledge of VBA for legacy-tool maintenance and migration is desirable.
• Experience with model validation techniques, numerical methods, calibration, market data construction, backtesting, stress testing, sensitivity analysis and benchmarking.
• Knowledge of model governance, documentation standards, change management and remediation tracking.
• Technical and Professional Competencies
• Strong knowledge of mathematics, probability, statistics, stochastic processes and numerical methods.
• Deep understanding of derivatives, payoff structures, Greeks, volatility, discounting, forward curves and valuation under different market conventions.
• Ability to independently challenge model assumptions and implementation, translating quantitative findings into practical risk conclusions.
• Advanced Python knowledge, including Pandas, NumPy, SciPy, object-oriented programming, version control and automated testing.
• Strong analytical documentation and data quality control capabilities.
• Professional proficiency in English and Portuguese, with the ability to prepare technical documentation and present conclusions clearly.
• Intellectual curiosity, professional skepticism and sound judgment when challenging models and methodologies.
• Ability to communicate complex quantitative matters clearly to both technical and non-technical stakeholders.
• Strong collaboration skills combined with the independence required for effective second-line review.
• High attention to detail, ownership, organization and the ability to manage competing priorities.
• Ability to work effectively with traders, risk managers, finance, technology teams and senior management.

Differentials 

• Experience with commodities, options, swaps, futures, exotic derivatives and counterparty or market risk models.
• Knowledge of SQL, Git, APIs, cloud analytics or other quantitative development environments.
• Familiarity with valuation adjustments, independent price verification, model risk frameworks and derivative pricing models.

Location

Vila Olimpia, SP - Up to twice a week at the base office.

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