Photo of Rodrigo Machado Costa

Rodrigo Machado Costa

Specialist in Retail & SME Lending | System, Process and Operating Model Transformation using AI

Credit Risk · Pricing · Retail and Corporate Lending · Portfolio Management · Data & AI · Products, Operations, and Journeys · Machine Learning and Data Engineering · RAG, AI Agents, and AI-Powered Automation · Financial Services

Transformation, Products, Platforms, Data & AI Leader with over 15 years of experience at the intersection of business strategy, engineering and data science. Combines executive vision with technical depth to develop policies, customer journeys, products and scalable solutions, delivering measurable impact on revenue, efficiency and decision quality.

  • Credit Risk and Pricing Strategy and Operating Model: Design and industrialization of credit decisioning processes and platforms, translating risk appetite, business objectives, governance requirements, business rules, performance indicators and portfolio priorities into scalable execution.
  • Credit Decisioning and Automation: Modernization of credit and pricing workflows through APIs, decision engines, Databricks, PySpark and automation, reducing implementation timelines from weeks to days. Experience with pipelines, version control, DevOps, testing, monitoring and traceability.
  • Credit Risk Strategy and Credit Portfolio Management: Design and execution of policies throughout the customer lifecycle, from acquisition to limit management and preventive strategies. Experience with credit scores, ratings, expected loss, risk appetite, approval rates, first payment default, vintages, delinquency, losses, utilization, concentration and the link between risk decisions, growth and profitability.
  • Machine Learning and Governance for Credit Risk and Pricing: Development of models for credit ratings, provisioning, sector risk, segmentation and propensity, using internal data, credit bureau information and SCR/Bacen data, combining analytical rigor, model governance, regulatory compliance and alignment between risk and business objectives.
  • Generative Artificial Intelligence: Led production GenAI, RAG and AI agent solutions for policy interpretation, data analysis, simulations, automation and support for credit and pricing decisions.
  • Data, Model and AI Infrastructure: Helped build MLOps and LLMOps capabilities, including observability, data governance, model and LLM evaluation and monitoring, traceability and Responsible AI practices.
  • Cross Functional Transformation: Integrated Channels, Products, Operations, Data and Technology to simplify processes, strengthen controls, standardize decisions and drive change.
  • Operations Transformation: Led the redesign and digitization of end to end Trade Finance journeys, covering origination, onboarding, processing, settlement and reconciliation. Implemented solutions that simplified workflows, strengthened controls and improved the customer journey.
  • Hands On Execution in Credit, Data and Modeling: Combination of senior leadership with hands on involvement in policy and workflow design, analytical validation, solution architecture, APIs, decision engines, data pipelines, technical prioritization and prototyping in collaboration with engineers and data scientists.
  • Executive Communication and Stakeholder Management: Partnered with C Leves and senior leaders, translating complex topics, aligning priorities, negotiating trade offs and driving decisions in executive forums.

Key Competencies

Leadership

Building areas from the ground up, developing high-performance teams, managing multidisciplinary squads and organizations of up to 37 professionals, 200+ technical hiring processes, OKRs, roadmaps, executive communication and C-level forums.

Credit and Risk

Credit underwriting policies for retail and corporate, origination, limit management, approval delegation management, rating, PD, LGD, EAD, expected loss, vintage analysis, risk appetite, early warning controls and restructuring, credit bureaus (Serasa, SPC, Equifax, Boa Vista), SCR, Banco Central do Brasil, Open Finance, credit decision engines.

Pricing & Profitability

Pricing strategy, impact simulators, elasticity, spread, margin, ROE, RWA, RoRWA, capital, optimization, and risk adjusted profitability for credit.

Financial Products and Platforms

Retail and corporate credit, receivables advance, invoice discounting, working capital, installment lending, payroll deducted loans, pix installment options on cards, card installment plans, decision engines, multichannel origination (digital and assisted), and operation calculation (installments, interest, IOF).

Transformation Projects

Agile product management, OKRs, FinOps, UAT, change management, model governance, decision engines, workflow automation, observability, testing, and versioning.

Data, Analytics & AI

Supervised and unsupervised machine learning, GenAI, LLMs, RAG, LangChain, AI agents, Databricks, code agents (Devin, Claude Code, Codex), spec driven development (SDD).

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, cross functional squads, OKRs, FinOps and governance.
  • Scaled personalized online pricing by customer and transaction to more than 100 million monthly decisions by reviewing and implementing policies for public and private sector payroll loans, personal loans, and working capital facilities, leveraging the new capabilities of pricing engines.
  • Increased conversion by more than 4 percentage points by translating segmentation and propensity insights into an offer prioritization strategy for personal loans, payroll loans, and working capital facilities, using K-Means/FAMD for segmentation, XGBoost/LightGBM for scoring, and SHAP for explainability.
  • Reduced exception review time and standardized decision making by developing an LLM/RAG solution via API in Databricks to analyze data and documents and generate recommendations. Redesigned the workflow into three paths: automated standard cases, AI assisted exceptions and sensitive cases subject to human review, with traceability and monitoring.
  • Developed and automated, using generative AI, sensitivity analyses and pricing simulations to estimate the impact on volumes, conversion, margins, profitability and financial results by product, channel, segment and customer profile, identifying repricing opportunities, offer adjustments and profitability improvements.
  • Projected BRL 50 million in incremental revenue through repricing of abandoned application journeys: after simulating credit through the digital channel, customers could receive a new lower priced offer in under 15 minutes, increasing conversion.
  • Designed the end to end, customer centric pricing journey for acquiring products, integrating MDR, receivables advances and equipment rental, as well as the pricing journey for book entry trade receivables discounting transactions.
  • 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, 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

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

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

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

    2026

    Microsoft ESI (Enterprise Skills Initiative)

  • AZ-400 — Designing and Implementing Microsoft DevOps Solutions

    2026

    Microsoft ESI (Enterprise Skills Initiative)

  • FIA — Big Data and AI | Santander Track

    2021

    Santander Brasil

  • DP-203 — Data Engineering on Microsoft Azure

    2021

    Microsoft ESI (Enterprise Skills Initiative)

  • Excel VBA

    2012

    Ka Solution

Management

  • Feedback Accelerator Journey for Heads

    2025

    Santander Brasil

  • Communicating Leader Program

    2024

    Santander Brasil

  • Privacy and Data Protection

    2023

    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