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Umberto Cifani Stroebel

@umbertocifanistroebe

Data Science and AI leader in insurance and financial services who launched an AI segmentation product that lifted CRM ROI 15%.

Ireland

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What I'm looking for

I'm open to Senior Manager or Head roles in Data Science, AI, Fraud, and Risk, and I'm available immediately. I'm also open to relocating within EMEA and LATAM.

At Alert Brasil, I led the launch of an AI customer segmentation product adopted by leading Brazilian telecoms, improving campaign ROI by 15%. I also integrated GenAI solutions using LLMs, RAG, and vector databases, reducing manual QA effort by 30%.

At Porto Seguro, I led pricing and risk machine learning work, deploying deep learning models on GCP that reduced the loss ratio by 1.4 percentage points (€6M). I presented model outcomes to the Board and managed a team of three while coordinating five consultants.

Across B3 Brazilian Stock Exchange, GetNet Santander, and Itaú Bank - Rede, I delivered analytics and machine learning for financial crime, payments fraud, and credit risk. My work included reducing fraud losses by 30% at Itaú Bank - Rede and supporting 40% transaction growth alongside a 10% year-over-year reduction in fraud losses at GetNet Santander.

Experience

Work history, roles, and key accomplishments

Senior Data Science Manager

Porto Seguro

Feb 2024 - May 2025 (1 year 3 months)

Led development of ML pricing models and underwriting systems, delivering AI-driven decision engines and risk analytics. Presented AI pricing and risk model outcomes directly to the Board and managed a team of 3 FTE and 5 consultants.

Machine Learning Pricing Models Tweedie Models Risk Analytics AI Strategy GCP Python Deep Learning Stakeholder Management Executive Reporting

Head of Analytics

Alert Brasil

Nov 2022 - Feb 2024 (1 year 3 months)

Led cross-functional teams of up to 15 across Data Science, Data Engineering and MLOps. Launched an AI segmentation product and integrated GenAI solutions to automate call auditing, reducing QA effort by 30%.

Data Science Data Engineering MLOps Product Management CRM Analytics XGBoost Logistic Regression Random Forest Python AWS SQL Power BI LLM RAG Vector Databases Prompt Engineering

Risk Analytics Manager

B3 Brazilian Stock Exchange

Apr 2021 - Oct 2022 (1 year 6 months)

Directed Financial Crime analytics and ML projects, delivering regulatory KPIs and compliance reporting for trading surveillance. Built and led a new Analytics team of 4 and deployed an AI surveillance model for anomaly detection on 50M weekly transactions.

Financial Crime Analytics Machine Learning Python SAS SQL Tableau Anomaly Detection Team Building Risk Management Trade Surveillance

Senior Fraud and Analytics Manager

GetNet Santander

Oct 2017 - Nov 2018 (1 year 1 month)

Led end-to-end Fraud Detection and Anti-Money Laundering using Machine Learning, including real-time transaction monitoring. Built a cross-functional team of 5 analysts and deployed fraud detection infrastructure supporting 40% transaction growth and 10% fraud loss reduction YoY.

Fraud Detection Anti Money Laundering Machine Learning SAS Python Feature Engineering Transaction Monitoring Tableau Team Building Risk Policy

Principal Consultant

Itaú Bank - Rede

Aug 2010 - Sep 2017 (7 years 1 month)

Developed PD credit scoring (IFRS 9) and fraud scoring models using SQL, SAS and Logistic Regression for B2B and Retail. Delivered credit and fraud scoring models (KS 47%), cut fraud losses by 30%, and uncovered a multi-million € internal fraud scheme.

Credit Scoring Fraud Scores IFRS 9 SQL SAS Logistic Regression Risk Management Fraud Detection Balanced Scorecard Data Analysis

Senior Credit Risk Analytics Consultant

Nextel NII Holdings

Mar 2008 - Aug 2010 (2 years 5 months)

Developed PD credit/behavior scoring models (SAS, SPSS) for B2B/B2C portfolio and optimized credit policies. Led credit analysts and cut the rejection rate from 20% to 10% with the first credit score models.

Credit Risk Scoring Models SAS SPSS Predictive Analytics Team Leadership Credit Policy

Business Intelligence Analyst

Giordano Vini

Dec 2005 - Feb 2008 (2 years 2 months)

Developed clustering segmentation (k-means) and forecasting tools to drive ROI. Built targeting and campaign analytics (A/B Testing), increasing sales by 15% through customer segmentation.

Business Intelligence CRM Clustering K Means Forecasting Marketing Analytics A B Testing Segmentation