Modeling head
Resume:
Araceli Pérez
Quezada
Data Science Manager
Professional Summary
Talented and goal-oriented Data science team leader with 13 years of experience in Banking Industry. Proven ability to design, build and implement state of art models boosting sales and revenue. Distinguished
leadership skills with commitment to improve customer satisfaction.
Work History
SVP, Head of Modeling
Citibanamex, Mexico City
• Lead multidisciplinary team of Data Scientists, Data Engineers and Business Analysts
• Implemented Credit card risk ML models in a flexible architecture for future improvements as well as
data quality and monitoring reports for the score
• Developed Cards and PILS Q&D ML models in two
weeks to start testing and forecasting.
• Recommendation system under development for
insurance products.
Vice President, Head of Modeling
Citibanamex, Mexico City
• Lead multidisciplinary team of Data Scientists, Data Engineers
• Lead the design & development of state-of-the-art machine learning credit card risk model, doubling
the pass rate with less risk
• Improved customer experience from 30% to 60%
through Credit and Debit dispute machine learning
models that helped to solve unrecognized charges
immediately.
• Increased credit card spend in 20% through
machine learning wallet models
• Partnered with ITAM to design tailor made Data
Science and Data Engineer diploma for top
performers team members
Assistant VP, Advanced Analytics
Citibanamex, Mexico City
• Managed and lead 10 Bangalore team analysts to
build propensity models for investments, credit
Contact
Address
Mexico City, Mexico
Phone
******@*****.***.**
Skills
Goal-oriented
Excellent
Data-driven decision
maker
Excellent
Machine learning
Excellent
Quick learner
Excellent
Creative Problem solver
Very Good
Teamwork
Very Good
Languages
English
Superior
Software
SAS
Very Good
SQL
Very Good
Python
Good
R
Good
Spark
Average
2017 - 2020
2012- 2017
Apr 2020-
Current
cards, personal and payroll loans increasing BAU
response rate.
• Implemented branch and ATM's model assignation
reducing operational and cost efficiencies.
• Collaborated with Global Risk Management and
consulting firm for income model development
Senior Risk Analyst, Retail CRM
Santander, United Kingdom
• Built credit risk losses stress testing scenarios for retail portfolio
• Produced reports every month to inform senior
management of current retail portfolio losses trends Senior Risk Analyst, Independent
Validation
HSBC, Mexico City
• Submitted independent validations to local and
global regulator for credit card, personal loan and mortgage Basilea methodology
• Partnered with cross-functional global teams (USA and UK) to conduct independent credit risk
validations for Latin America teams
• Contributed to establish key metrics for model
validation credit risk global guidelines.
Senior Risk Analyst, Wholesale CRM
HSBC, Mexico City
• Participated in Probability of Default model
development for small, medium and large
companies
• Produced Monitoring Information for Sovereign and Global Corporate portfolio loss trends
Analyst, Campaign Management
HSBC, Mexico City
• Generated personal loans and credit card
campaigns
• Developed propensity models for insurance and
afore
Education
Course: Data Science Spark Summit
Databricks, San Francisco
Course: Data Science Summer School
University of Essex - United Kingdom
Interests
Running
Traveling
Art exhibitions
2011-2012
2008 - 2010
2007- 2008
2006-2007
2017
2019
Master of Science: Statistics & Data Analysis
University of Essex - United Kingdom
Dissertation: Application for a comparison of cross- validation and bootstrap estimations for True and False Positive rates and ROC Curve.
Diploma: Financial Risk Management
ITESM - Mexico City
Bachelor of Science: Actuarial Sciences
ITAM - Mexico City
• Thesis: Data mining for caravan insurance
.
2011
2009
2006
Contact this candidate