Rafael Matos, MSc. — Product Engineer
Lead data scientist with proven business experience in financial risk modeling. Mainly credit risk parameters (PD, LGD, EAD, expected loss itself as a unique parameter and unexpected loss/ economic capital) but also some incursion in market, liquidity, and operational risk. Also have experience with valuation techniques (cost-based, market-based and income-based - DCF - for tangible and intangible assets) and CRM modeling (MBA, MMM, recommendation systems, market segmentation, propension models). I work for Neon Pagamentos - one of the biggest Brazilian fintechs - on building ECL models according to IFRS 9 and the Central Bank of Brazil prescriptions, after working for Itaú Unibanco - the largest bank in Latin America - with the same scope of activities. Prior to that, I had a very intensive journey in the consulting and auditing support industry, where I could help clients of literally all (or almost all) economic sectors with financial and /or marketing issues, using quantitative approaches as a staff consultant (KPMG, PwC and Match). My background: I have a bachelor degree in mechanical engineering (Universidade Federal de São João del-Rei and Arizona State University) and a master of science degree in complex systems modeling (Universidade de São Paulo). My master thesis was "Transience and self-excitation in Brazilian mergers and acquisitions waves", where I worked with Markov switching models and Hawkes processes. Thus, I have also an academic trace. I am able to build end-to-end data science projects, from data gathering and storing to model deployment. I am well versed in multivariate statistics (frequentist and Bayesian), statistical learning, machine learning (including deep learning) and traditional methods of econometrics, optimization and operations research (e.g. numerical methods such as Monte Carlo or finite elements). I can code very well in Python, R, SQL, VBA/ Excel and I also have some experience with Mathematica, Matlab, SAS (language and environment), Teradata environment, Salesforce Marketing Cloud, Google Analytics, Google Cloud Platform (BigQuery, AI Platform) and Git/Github/Gitlab. I am fluent (native-like proficiency) in English (en-US), native in Portuguese (pt-BR), have intermediate proficiency in Spanish (es-ES) and I am working on German.
Stackforce AI infers this person is a Fintech expert with a strong focus on data science and credit risk modeling.
Location: São Paulo, São Paulo, Brazil
Experience: 11 yrs 3 mos
Skills
- Data Science
- Ifrs 9
- Python
- Machine Learning
Career Highlights
- Expert in credit risk modeling and IFRS 9 compliance.
- Proficient in end-to-end data science project development.
- Strong background in quantitative finance and machine learning.
Work Experience
Mercado Livre
Fintech Credit Risk Specialist - Staff Data Scientist (0 mo)
Neon
Lead Data Scientist - Provisions (1 yr 7 mos)
Senior Data Scientist - Provisions (10 mos)
Itaú Unibanco
Senior credit portfolio management analyst (6 mos)
Senior credit risk modeling analyst (1 yr 4 mos)
Argaussia
Chief Algebraist (1 yr 11 mos)
Match | Marketing + Tech
Senior consultant in Data Science & Advanced Analytics (1 yr 1 mo)
PwC Brasil
Associate Risk Consultant (1 yr 5 mos)
KPMG Brasil
Management & Valuation Consultant (8 mos)
Management Consulting Trainee (6 mos)
Rede CsF
Project Collaborator (1 yr 5 mos)
Engineers Without Borders - São João del Rei
Co-founder and Chief Communication Officer (CCO) (9 mos)
Associação Brasil-Alemanha de Desenvolvimento Social (ABADS)
Teacher (1 mo)
Tutorial Education Program - "Materials and Technological Innovation"
Member (1 yr 7 mos)
Trem Ki Voa Aerodesign/SAE.
Intern at Department of Aerodynamics (1 yr)
Total Agroindústria Canavieira S/A
Cost Analyst (7 mos)
Administrative Assistant (2 mos)
Flama Promoções e Eventos
Intern as Financial Assistant (2 mos)
Dcore Interiores
Intern (10 mos)
Education
Master's degree at USP - Universidade de São Paulo
Mechanical & Aerospace Engineering at Arizona State University
Bachelor's degree at Universidade Federal de São João del-Rei - UFSJ
Technical degree - Administration & Business at Escola Técnica de Formação Gerencial - ETFG SEBRAE