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Roberto Angeles

Credit Risk & Fraud | Fintech | SME loans | BNPL

Fraud Risk Management
Consultant
SME Loans
Tech Credit Origination
Data Science
Professional Status
Employed
Available
About Me
I offer a systemic vision to reduce costs, losses due to non-payment, loan loss reserves and increase the placement of credits that add economic value for the business using risk management, fraud management, analytics, data science and collection as tools to achieve it.
Data driven using conventional data and external data to develop scores models for fraud, default, collections.
Handling key data vendor management and experience in risk policy analysis.
Resume created on DoYouBuzz
  • Oversee all aspects of financial management, including budgeting, forecasting, and financial reporting for a construction company specializing in commercial, infrastructure, public infrastructure.
  • Implement cost control measures and financial analysis techniques to optimize project profitability and ensure adherence to budgetary constraints.
  • Manage cash flow, accounts payable, and receivable to maintain liquidity and support ongoing operations.
  • Collaborate with project managers and department heads to develop project budgets and monitor financial performance against established benchmarks.
  • Ensure compliance with regulatory requirements and internal policies related to financial management and reporting.

Credit Origination Consultant and New Technology Implementation

Roberto Angeles Consultant
Since April 2022
Consultant
Mexico City - Monterrey - USA
  • Led consultancy projects focusing on optimizing credit origination processes for educational loans, "Buy Now, Pay Later" systems, and traditional credit granting via web or applications.
  • Designed and implemented cutting-edge technological solutions to streamline credit evaluation processes, resulting in a 7.00% to 40.0% reduction in response time (depending on the origination process).
  • Developed and executed strategies to mitigate default and fraud risks across diverse credit origination platforms, utilizing advanced data analysis tools and machine learning algorithms.
  • Collaborated closely with educational institutions, retail partners, and online platforms to customize credit origination procedures, ensuring swift responses and minimizing default rates.
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  • Create and stablish the company in Mexico, search for e-commerce companies and lenders to subscribe to
    the platform.
  • Define and develop the origination process, fraud review and credit process on the platform.
  • Raise funds to assure the future operation of the company.
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  • Lead risk management areas for FINSOL México and FINSOL Brazil offering Microcredits, MasNomina that offers
    payroll credits and Apoyo Financiero Inc. that offers personal loans to Hispanic population in California, US.
    Mitigate risk exposure to reduce losses, review and manage the portfolio performance on P&L basis and risk
    profiles (Credit life cycle - RAR). Analytics and Data exploration and Loan Loss Reserve model.
  • Develop and implement origination score for Apoyo Financiero
  • Double-digit growth of the Apoyo Financiero Inc portfolio with less than 4.0% of 90+dpd over the portfolio value
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  • Improve origination for new costumers of the six companies in FINDEP, standardization of best practices, policies, process and systems to control the expected credit loss, reduces costs and generate economic value to FINDEP.
    Risk management of the Apoyo Financiero’s portfolio, a company established in California, USA focused on Hispanic market.
  • Analytical tools implementation to improve new credit origination for FINDEP: Decision engine, Cloud data, Data science and
    machine learning.
  • Development of expected loss model for FINDEP companies according to IFRS and NIF Mx.
  • Double-digit growth of the Apoyo Financiero Inc portfolio and maintain the level of past due loans by less than 3.5%.
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  • Lead risk management area. (4 people).
    Mitigate risk exposure to reduce losses. Review and manage the portfolio performance on P&L basis and risk profile. MIS and analytics. Track Scores and risk profiles. Loan Loss Reserve model.
  • Lead home office credit area. (20 people)
    Review in a centralize way the applications that do fail credit policies and risk criteria on branches so that the descision on approval or reject will minimize the risk exposure.
  • Lead centralized collections 90+dpd and recovery areas. (220 people)
    Develop strategies to collect 90+dpd accounts from branches in centralized way to reduce losses: call center and collection visitors, extrajudicial offices.
  • Lead business intelligence. (1 person)
    Review the data to create and design new products. Do the mapping on costumer/applicants concentration for collections area and to open new branches. Review new technologies and new products from third parties to measure the impact on portfolio perfomance
  • Lead Corporate Legal area. (6 people)
    CONDUSEF, Commercial law, Criminal law, Corporate contracts and agreements, Powers of attorney.
  • Risk committee chairman
  • Credit bureau relation
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  • Credit quality and performance.
  • Review and create new policies, perform credit reviews, fraud deterrence.
  • MIS (Vintage, Coincidental and Performance / collections), Credit Score (development, implementation and performance), forecast of key credit indicators and fraud KPI.
  • Risk Committee.
  • Reserve Model
  • Budget on losses.
  • Credit Bureau relationship.
  • CRM
  • Business intelligence and development. Analytics: making decisions driven by metrics.
  • To manage,to coach and to evaluate people in the area. (4 people)
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  • Statistics Fraud Trends for each Business Unit (Retail, Personal Loan, Mortgage, Auto): Fraud Metrics.
  • Fraud Losses and Savings Forecast Implementation / Fraud Socring.
  • Find gaps in processes with fraud risk implications and propose solutions measuring impact over the risk portfolio and sales.
  • High performance analytics: creating metrics to measure fraud risk
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Master in Business Administration

Instituto Tecnológico Autónomo de México

June 2017
The MBA ITAM program is comprehensive, balanced and enriched with various techniques that promote learning, such as lectures, business case analysis, teamwork, business simulations, seminars, personal advice and workshops to strengthen management skills.

Actuarial science

Instituto Tecnológico Autónomo de México

December 2000
In this program as well as a quantitative training in actuarial science, statistics and mathematics, your training is complemented with courses from areas of general studies, economics, finance, management, computing; which will allow you to solve real problems from a new and original perspective which you will differ from other professionals becoming a highly valued professional, both in the public sector and the private sector in education and research.
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Specialty

Instituto Tecnológico Autónomo de México

September 2001
Advanced Econometrics and time series
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Data Science

Johns Hopkins Coursera

March 2017 to December 2017
  • SAS
    Good
  • SPSS
    Good
  • Data mining
    Advanced
  • Loan loss reserves
    Advanced
  • SQL
    Good
  • Dataware
    Good
  • MIS - Portfolio management
    Advanced
  • BigQuery
    Good
  • Fraud scoring Retail + Credit card
    Advanced
  • Analytics
    Advanced
  • Portfolio Management
    Advanced
  • Assertive communication
    Advanced
  • Staff retention
    Advanced
  • Team builder
    Advanced
  • Performance measurement
    Good
  • Running: time to think and excercise
  • knowing other cultures.