Photo of Rodrigo Machado Costa

Rodrigo Machado Costa

Credit & Pricing Leader | Strategy & Operations, Data & AI | Business & Operating Model Transformation

Credit Risk · Pricing · Consumer and Commercial Credit · Portfolio Management · Strategy & Operations · Data & AI Automation · Machine Learning and Data Engineering

Credit, Pricing, Data Science & AI Leader with over 15 years of experience transforming complex, unstructured problems into scalable strategies, products, processes and platforms. Operates at the intersection of Strategy & Operations, quantitative modeling, data and technology, combining executive perspective with technical depth to diagnose performance, define strategies, develop models and policies, redesign operations and customer journeys, and scale decisioning.

  • Strategy & Business Operations: Translates strategic challenges and unstructured problems into analysis, priorities and execution plans. Experience spans performance diagnostics and root cause identification through the design of operating models, customer journeys, processes, KPIs and roadmaps, combining analytics, automation and technology to capture growth opportunities, eliminate inefficiencies, reduce revenue leakage and improve business profitability.
  • Credit and Pricing Strategy, Policy and Decision Science: Designs and industrializes strategies, policies and decision processes, translating analytical models, risk appetite, growth and profitability objectives, business rules and governance requirements into scalable decisions.
  • Credit Strategy & Portfolio Analytics: Design and execution of policies across the full customer lifecycle, from origination to limit management and early intervention strategies. Experience with credit scores, ratings, risk appetite, approval rates, risk migration, vintages, expected loss, FPD, utilization, concentration, and stress and scenario analysis, linking risk, growth, and profitability.
  • Machine Learning and Quantitative Modeling: Development and application of models for rating, PD/LGD/EAD, provisioning, sector risk, scoring, segmentation, propensity and forecasting, using transactional, internal, bureau and SCR/Bacen data. Experience with feature engineering, supervised and unsupervised models, performance assessment, explainability, governance and integration of outputs into business policies and decisions.
  • Decision Platforms & Model Industrialization: Modernization and scaling of Credit and Pricing decisions through APIs, decision engines, and Databricks, connecting data, features, models, and policies to the production environment. Experience with MLOps, including pipelines, versioning, testing, deployment, performance and stability monitoring, observability, traceability, and quality controls throughout the model and strategy lifecycle.
  • Generative Artificial Intelligence & Agentic AI: Leadership and development of solutions using GenAI, RAG, and AI agents for policy interpretation, structured and unstructured data analysis, simulations, workflow automation, and support for Credit and Pricing decisions. Experience with LLMOps and AI Governance, including response evaluation, observability, traceability, quality controls, human in the loop, and Responsible AI practices.
  • Technical Leadership & Hands on Execution: Combination of senior leadership and practical execution in policy modeling, analytical validation, feature engineering, decision flow design, solution architecture, APIs, decision engines, data pipelines, and prototyping, working directly with data scientists, ML engineers, data engineers, and software engineers.
  • Leadership & Executive Influence: Building and leading multidisciplinary teams, while partnering with C suite executives and executive forums to translate quantitative analysis, risk, and technology topics into business decisions, align priorities, and negotiate trade offs across Risk, Product, Commercial, Operations, Data, and Technology.
  • Products, Segments and Customer Journeys: Broad experience across Retail, SME and Corporate Banking, combining product expertise with analytics, risk, pricing and technology. Experience spans Trade Finance & Services, working capital, receivables financing, merchant acquiring, personal and payroll loans, cards and investments, with experience designing and improving commercial and customer journeys across origination, simulation, pricing, decisioning and portfolio management.

Key Competencies

Credit Strategy

Credit and underwriting policies, origination, eligibility, cutoffs, limit and approval authority management, preventive and restructuring strategies, scorecards, ratings, PD/LGD/EAD, expected loss, FPD, vintage analysis, roll rates, transition matrices, concentration, risk appetite and stress/scenario analysis.

Data Science & Machine Learning

Feature engineering, predictive modeling, classification, segmentation, propensity modeling, forecasting, anomaly detection, survival analysis, Markov Chains, clustering, model validation and explainability; XGBoost, LightGBM, Decision Trees, K Means, FAMD and SHAP.

Pricing & Profitability Analytics

Pricing strategy and policies, elasticity, segmentation, impact simulators, sensitivity/scenario analysis, spread, margin, break even and floor pricing, ROE, RWA, RoRWA, capital and risk adjusted profitability.

Decision Platforms & MLOps

Decision engines, industrialization of policies and models, APIs, pipelines, CI/CD, version control, testing, deployment, monitoring, observability, data and feature quality, traceability, and integration across models, policies and production decisions.

Generative AI, Agentic AI & AI Governance

GenAI, RAG, AI agents, LLMOps, human in the loop, LLM evaluation and observability, tracing, Responsible AI, workflow automation, and analysis of structured and unstructured data and documents.

Leadership

Built functions and multidisciplinary teams of up to 37 professionals, conducted over 200 technical interviews, led squads, defined operating models, OKRs and roadmaps, prioritized portfolios, delivered executive communications and participated in C level forums.

Financial Products and Platforms

Working capital, payroll deductible lending, credit cards and installment lending, receivables financing and invoice discounting, Trade Finance, decision engines, multichannel origination, digital journeys and transaction calculations.

Credit, Portfolio Management & Profitability

Credit strategy, underwriting, portfolio management, pricing and risk adjusted profitability, linking growth, conversion, credit quality, expected losses, margin, capital and customer economics.

Data, Decisioning Platforms & AI

Experience building and modernizing large scale analytics and decisioning platforms, integrating data, models, policies and business rules, with a strong focus on scalability, data quality, monitoring, governance and AI enabled decision making.

Languages

Fluency for executive and technical environments.

  • EnglishFull Professional
  • PortugueseNative or Bilingual

Experience

Santander Brasil

13 yrs 4 mos

  • Pricing Platform
  • Data & AI
  • Credit Decisioning
  • RAG / LLMs
  • LangChain
  • AI Agents
  • FlexRate Investments
  • Decision Engines
  • Retail and SME Lending
  • Decision engines
  • Generated over R$ 100 million in incremental margin by leading the development of the enterprise pricing platform for Loans and Investments, integrating pricing strategy, decision engines, APIs, products, and channels. Accountable for CAPEX management, OKRs, FinOps, and multidisciplinary squads of data scientists, data engineers, and AI engineers.
  • Scaled personalized credit pricing to more than 100 million monthly decisions by industrializing pricing policies for payroll deductible loans, personal loans and working capital, combining customer, transaction, risk, channel and behavioral attributes within real time decision engines.
  • Increased conversion by more than 4 percentage points by developing analytical strategies for segmentation, propensity modeling and offer prioritization for personal loans, payroll loans and working capital, using K Means/FAMD, XGBoost/LightGBM and SHAP for modeling and explainability.
  • Identified repricing and profitability optimization opportunities by developing sensitivity simulations to estimate elasticity, production, conversion, margin, and financial performance across products, channels, segments, and risk profiles.
  • Reduced exception review time and improved decision consistency by developing an LLM/RAG based analytical solution, combining structured data, documents and pricing policies to classify cases, generate recommendations and retain human in the loop oversight for critical decisions.
  • Enhanced profitability management within Corporate Banking by developing a profitability solution that captured quotes for won and lost transactions and simulated, for each deal, transaction and client relationship P&L, as well as RWA, RoRWA and ROE, supporting pricing decisions, capital allocation and commercial negotiations.
  • Projected R$ 50 million in incremental revenue by modeling a repricing strategy for digital journey abandonment, identifying price sensitive customers and generating a new offer within 15 minutes of the initial simulation.
  • Designed the end to end customer pricing journey for acquiring products, integrating MDR, receivables advances and equipment rental, as well as the pricing journey for book entry trade receivables discounting operations.
  • Developed an Open Finance data driven strategy to target risk approved customers where the bank held a pricing advantage, while also leveraging categorized Open Finance data to create new signals for credit policies and models.
  • Took on the role of Data Owner for the Pricing domain, accountable for the governance of data and analytical assets supporting over 100 million monthly decisions, while leading AI Governance practices for AI and GenAI solutions, including assessment, traceability, quality controls, human in the loop, and Responsible AI.
  • Hipe Risk
  • Risk Platform
  • Data & AI
  • Databricks
  • SAS Viya
  • PySpark
  • Machine Learning
  • Decision Engines
  • Credit Card
  • Overdraft
  • Trade Finance
  • Product Analytics
  • FX
  • FINIMP / ACC / ACE
  • 4131 & Loans Offshore
  • Letter of Credit
  • Python
  • SQL Server
  • Agribusiness
  • Limit System
  • Rating
  • Approval-Authority Governance
  • Machine Learning
  • Portfolio Management
  • Corporate Banking
  • Credit Risk
  • Portfolio Management
  • Executive Dashboards
  • Sector Concentration

Itaú Unibanco

1 yr 6 mos

  • Risk Modeling
  • Basel II
  • PD / EAD / LGD
  • Receivables (Checks & Trade Notes)
  • Corporate Credit

Academic Background

Fundação Dom Cabral

Supply Chain, Logistics and Operational Resilience

2026-2027

FIA Business School

Extension, Valuation: Company Valuation, Mergers, Acquisitions and Equities

2014

Instituto Educacional BM&FBOVESPA

Specialization in Credit, Market and Liquidity Risk Management

2012

COPPE/UFRJ

MSc., Electrical Engineering — Control, Automation and Robotics

2011

UFRJ — Universidade Federal do Rio de Janeiro

BSc., Control and Automation Engineering

2006–2011

Technologies

Python

PySpark/Databricks

SQL

Github e CI/CD

LangChain/LangGraph

ChatGPT

Devin

Claude Code

Azure

Power BI

Figma

Jira

Confluence

SAS

HTML/CSS

MongoDB

Supabase

TypeScript

Weaviate

Microsoft Foundry

AWS Bedrock

Awards & Recognition

2025

New Payroll-Loan Pricing Engine

Conquistar Customer Engagement — Best Innovation Project | Santander Brasil

Recognition for enabling the decision-engine architecture for pricing, delivering the first online pricing policy for new payroll-loan operations — covering account holders and non-account holders, internal channels and CTPS — using client and operation data for personalized pricing.

2023

Hipe Risk

Star Santander — Best Project in the Risk Category | Santander Brasil

Recognition for acting as leader of one of the project's 12 strategic workstreams, responsible for revising the data architecture, decision engines and Risk analytical models, and for leading the tool selection and the pilot.

2022

Migration of SAS Pipelines to Databricks

Conquistar Technology & Operations VP — Best Project in the Risk Category | Santander Brasil

Recognition for leading the project to modernize the Risk analytical pipelines, creating the Risk Data Mesh to feed policies, models and decision engines. The initiative eliminated manual processes, automated critical routines in Databricks and increased the area's scalability, governance and operational efficiency.

2017

Rating+ for Companies

Risk Pro — Best Project of the Risk VP | Santander Brasil

Recognition for implementing a new risk-rating methodology for mid-sized companies, based on five machine learning models, along with the development of a management system used by risk specialists.

2014

European Central Bank Audit

Risk Pro — Best Project of the Risk VP | Santander Brasil

Recognition for supporting the defense of the European Central Bank audit of the Corporate portfolio, contributing technical analyses and portfolio risk evidence.

Certifications & Courses

Professional Certifications

DeepLearning.AI

Amazon Web Services

ISE Business School

  • Strategic Results Management

    2025

    ISE Business School

SAS Brasil

  • Applied Analytics Using SAS Enterprise Miner

    2017

    SAS Brasil

  • SAS Base Programming 1, 2, 3, Macro and SQL

    2011

    SAS Brasil

BSI Training Academy

  • AI Governance, AI Risk Management and ISO/IEC 42001 Readiness

    2026

    BSI Training Academy

Courses

Artificial Intelligence

Software Engineering

Management

  • Feedback Accelerator Journey for Heads

    2025

    Santander Brasil

  • Communicating Leader Program

    2024

    Santander Brasil

  • Public Speaking

    2012

    Eunice Mendes

Agile

  • Pro Agile — Domain Owner Track

    2025

    Santander Brasil

  • Pro Agile — Domain Technical Lead Track

    2025

    Santander Brasil

  • Technological Singularity and Agile Methodologies

    2019

    Santander Brasil

Finance

  • Project Finance

    2013

    Santander Brasil

  • Corporate Banking Products

    2011

    FGV

Data

  • DP-700 — Implementing Data Engineering Solutions Using Microsoft Fabric

    2026

    Microsoft ESI (Enterprise Skills Initiative)

  • Privacy and Data Protection

    2023

    Santander Brasil

  • FIA — Big Data and AI | Santander Track

    2021

    Santander Brasil

  • DP-203 — Data Engineering on Microsoft Azure

    2021

    Microsoft ESI (Enterprise Skills Initiative)