BANAMEX Model Validation / Consumer Risk Model Sr VP C14 - CIUDAD DE MEXICO

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Job Overview

The Risk Analytics, Modeling and Validation role involves the development, enhancement, and validation of methods for measuring and analyzing all types of risks, including market, credit, and operational. In areas related to credit risk, individuals in this role develop, enhance, and validate models for measuring obligor credit risk, or early warning tools that monitor the credit risk of corporate or consumer customers, besides being involved in Loss Given Default studies. They also develop and maintain key risk parameters like default and rating migration data, usage given default data and transition matrices. This role is vital to the company as it provides a scientific and systematic approach to assessing and mitigating risks, thereby ensuring the company's financial stability, protecting its assets, and supporting its overall business strategy.

Responsibilities: 

• The role is typically for Model Validation Lead (VL).
• Oversee a portfolio (e.g., Commodities business models) of model types / product types for a specific business area Perform model validations, annual model reviews, ongoing monitoring reviews (on Low, Medium and High Model Risk Rating (MRR) models), model limitation remediation reviews, Supervisory and Peer Reviews across the specific portfolio.
• Ensure accuracy of validations performed by Validators covering the VL’s specific portfolio Provide effective challenge to the model development process on Low / Medium / High MRR models in accordance with the Citi Model Risk Management Policy.
• Covers both technical and functional aspects, including model assumptions, conceptual soundness, mathematical formulation, model calibration, and model performance, as well as the functional assessment of using the model for regulatory and business applications. Job responsibilities include reviewing models and identifying shortcomings development documents, performing validation tests, discussing findings with senior stakeholders, writing validation reports, and managing model risk on an ongoing basis

• communicating a compelling vision of the future; helps them identify opportunities for change and improvement during uncertainty.
• Inspires the team to constantly improve, own mistakes, and proactively share learnings with other teams; demonstrates deep curiosity to help the team learn and improve.
• Creates a team environment in which members are proactively invited to speak up, seek out, and debate alternative views; role-models agility to change course when presented with new information.
• Acts as a catalyst for change by identifying and championing ideas that benefit the organization; supports the team to safely experiment.
• Communicates the context behind key organizational decisions; puts the enterprise above the team, and helps the team make decisions that benefit the greater good
• Creates focus by communicating and aligning resources to the most critical organizational priorities; proactively reduces potential distractions for the team.
• Proactively identifies and acts on opportunities to manage risk through streamlining processes, eliminating redundancies across teams, and reducing over-customization.
• Leads teams to strengthen controls that support client satisfaction and operational effectiveness; creates a culture in which all team members take accountability for managing risk.
• Guides the team in solving complex business challenges by taking time to gather data, uncover root causes, and identify sustainable solutions.
• Leads teams to continuously raise expectations; inspires them to exceed performance goals and deliver the best possible work.
• Role-models, educates, and holds the team accountable for doing the right thing for clients and Citi, in all situations, even when difficult
• Holds self and team accountable for establishing partnerships that break down boundaries and engage cross-functional partners early and often; creates opportunities for enhanced collaboration across business and functions.
• Reinforces opportunities for team members to support clients and communities; educates teams on the challenges faced by Citi’s constituents.
• Creates a flexible and engaging work environment in which employees can achieve work-life balance and people of diverse backgrounds and styles can thrive; lives by example.
• Proactively seeks out and champions diverse talent for critical roles; is intentional in taking action to ensure all team members are treated in a fair and equitable manner.
• Actively monitors and listens respectfully to how teams are feeling, particularly when facing challenges; assumes best intent and responds with empathy.

• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of teams and create accountability with those who fail to maintain these standards

Qualifications: 

• 10+ years of experience
• Demonstrated project management and organizational skills and capability to handle multiple projects simultaneously.
• Deep understanding of financial instruments, pricing models, simulation and other relevant risk estimation methodologies, and regulatory requirements.
• Sound knowledge in Calculus, Linear Algebra, Statistics, and Numerical Methods.
• Strong verbal and written communication skills.
• Solid writing skills.
• Programming skills in languages like Python, MATLAB, C/C++/C#, VBA or other coding language as need.
• Extensive experience in developing and validating risk measurement methods and models for one or more businesses and product areas.
• Familiarity with regulatory requirements related to relevant model types and risk management practices.
• Strong knowledge of risk management principles and practices. Familiar with regulatory requirements related to the relevant model portfolios.
• Proficiency in data analysis and interpretation.
• Programming skills in languages like Python, MATLAB, C/C++/C#, VBA or other coding language as need.
• Experience in conducting extensive quantitative and qualitative analysis.
• Ability to formulate recommendations on policies, procedures, or practices.
• Excellent analytical and problem-solving skills, with the ability to make complex judgments and select complex alternatives.
• Strong commercial awareness and business acumen.
• Excellent communication and negotiation skills, with the ability to communicate effectively both internally and externally.
• Ability to apply ingenuity and creativity to problem analysis and resolution in complicated and/or novel situations.
• Strong leadership and team management skills.

Education: 

Bachelor's/University degree, Master's degree preferred

Location: Mexico City (Hybrid)

About the Role:
We are seeking a highly skilled professional with strong expertise in risk modeling, model validation, and predictive analytics to join our Risk Management team. This position plays a critical role in ensuring the accuracy, governance, and compliance of consumer and market risk models that support key business decisions in banking products and portfolios.

Key Responsibilities:
• Lead and execute model validation activities, ensuring models perform as expected and align with business objectives and regulatory standards.
• Assess the conceptual soundness, data quality, and methodological rigor of models used across consumer banking and market segments.
• Review model development documentation, challenge model assumptions, and ensure effective governance throughout the model lifecycle.
• Provide technical expertise in Python, machine learning, and advanced statistical techniques to evaluate and benchmark models.
• Collaborate with cross-functional teams, ensuring accurate implementation and information flow in production systems.
• Support regulatory submissions, audits, and model governance frameworks.
• Mentor and guide junior team members while contributing to the continuous improvement of validation methodologies.

Qualifications:
• Bachelor’s degree in Mathematics, Actuarial Science, Physics, Engineering, or Data Science; Master’s degree or MBA preferred.
• 10+ years of experience in risk modeling, predictive modeling, or model validation within banking or financial services.
• Strong knowledge of consumer credit products, market risk models, and regulatory requirements.
• Advanced programming skills in Python (additional languages a plus).
• Solid understanding of data governance, model governance, and implementation processes.
• Experience with machine learning techniques applied to risk and predictive modeling.
• Excellent communication skills in English and Spanish (bilingual required).
• Proven leadership skills with experience managing projects, stakeholders, or small teams.

Preferred Qualifications:
• Experience in regulatory environments (e.g., CCAR, Basel, IFRS9, SR11-7).
• Background in consumer banking portfolios and risk analytics.
• MBA or equivalent postgraduate degree is highly desirable.

What We Offer:
• Opportunity to work in a strategic and visible role within Risk Management.
• Hybrid work model in Mexico City.
• Professional growth in a global banking environment with cutting-edge methodologies

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Job Family Group:

Risk Management

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Job Family:

Risk Analytics, Modeling, and Validation

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Time Type:

Full time

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Most Relevant Skills

Analytical Thinking, Business Acumen, Credible Challenge, Data Analysis, Governance, Policy and Procedure, Policy and Regulation, Risk Controls and Monitors, Risk Identification and Assessment, Statistics.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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