Risk & Fraud Prevention Specialist - Ciudad de México - Clip

Clip

Empresa verificada

Ciudad de México

hace 1 semana

Publicado por:

Rodrigo Fernández

Reclutador de talento para beBee

Descripción

The Role:

What will I do?

Develop and implement loan loss provisioning models, continuously monitor them and propose enhancements when deemed fit.
Identify credit risk factors and trends; circle back to the strategy and models.
Extract and analyze data, investigate data integrity, generate metrics, and perform data and portfolio analysis.
Collaborate in the definition and calculation of risk metrics to show the performance of credit policy for use in management reporting.
Analyze root cause to identify opportunities to predict, prevent and mitigate risk within processes and performance.
Partner with Data Science, Engineering, Product, Operations, and Business teams to conceive, design, and monitor strategies to mitigate credit risk in the most precise manner possible; recommend which product features to build and why.
Identify gaps in current systems, policies and strategies and take actions to mitigate emerging fraud risks with guidance from managers.

Technical Knowledge:

Proven knowledge on credit risk analytics, in the financial industry.
Strong knowledge of lending and the credit products and services industry in Mexico, including key players and trends.
Excellent written and verbal communication with ability to create clear and concise summary documents of ongoing processes and provide detailed instructions to team members.
Ability to analyze complex situations and provide guidance, makes recommendations, and/or escalates arising issues timely.
Strong organization skills and ability to handle multiple projects efficiently in order to ensure projects are completed timely.
Able to interact and communicate effectively with all management levels to assess business needs in a professional manner.
At least 3 years of risk management experience in Banks, Fintechs, Financial Companies or Financial Consultancies, with extensive working knowledge in provisioning models under international accounting standards.
Master's Degree in Finance, Mathematics, Actuary or Statistics and strong quantitative analytical experience, including background with statistical modeling & analysis.
Has a deep understanding of the consumer lending process, its key stages and dimension.
Has the ability to analyze large transactional datasets, interpret ambiguous situations, and work in a high growth and vibrant work environment.
Proficient in data analysis tools like SQL, R, phyton, looker, etc.
Creative problem solver and teamfocused; can synthesize information and make clear, concise recommendations on a course of action, and rally teams and stakeholders alike.

In Clip, we are committed to a diverse and inclusive workplace.

Clip does not discriminate under any basis of origin, gender, gender identity, sexual orientation, race, disability, age or other legal status.

Clip is an equal opportunity employer.

If you are unstoppable, creative and have the skills we need, we want to hear from you

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