Risk Analyst Junior/Junior+

About the role

We currently have several Analyst openings across our Risk teams in Mexico and Colombia, specifically within Retail Credit Risk.

You will join one of these teams and use data to solve real business problems, improve risk strategies and processes, and support better decision-making across our credit products.

Previous risk experience is not required — we value strong mathematical and analytical thinking, solid SQL and Python skills, and the ability to quickly understand and solve complex problems.

Challenges that await you:

Analyze credit funnels, portfolio performance and key risk indicators to identify trends, risks, friction points, and opportunities

Develop and maintain analytical datasets, reports, dashboards, and BI solutions to support business and risk decision-making

Help design and optimize credit decision strategies, evaluating their impact on approval rates, portfolio quality, recovery, and customer behavior

Analyze the profitability, NPV, and unit economics of credit products and identify the key parameters driving their performance

Prototype, evaluate, and monitor analytical and machine learning models, including testing hypotheses and assessing model performance

Work closely with Risk, Product, Data, Data Engineering, and business teams to turn data analysis into practical decisions, tests, and new processes

What makes you a great fit:

Completed education: Mathematics, physics, engineering, economics, computer science, or another strong quantitative field

Strong knowledge of SQL and Python; experience with data analysis libraries and machine learning tools is a plus

Good mathematical intuition and a solid understanding of probability and statistics

Ability to solve unfamiliar, non-trivial problems and quickly find logical, data-driven solutions

Analytical mindset: curiosity, attention to detail, willingness to learn, and the ability to clearly explain your conclusions

B1 or higher English level for effective communication with an international team

Nice to have:

Up to 2 years of experience in analytics

Experience in risk analytics

Understanding of machine learning concepts and approaches

Experience with BI tools (e.g., Tableau, Superset)

Our ways of working:

Innovative Spirit : a commitment to creativity and groundbreaking solutions

Honest Feedback : valuing open, transparent communication

Supportive Team : a strong, collaborative community

Celebrating Achievements : recognizing our wins together

High-Tech Environment : a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances

Our benefits:

Relocation support to Colombia and Mexico with assistance for the employee and their family

Flexible work : hybrid or full-time from our offices

Healthcare Coverage

Education Budget : Language lessons, professional training and certifications

Wellness Budget : Mental health and fitness activity reimbursements

Vacation policy : 20 days of annual leave and paid sick leave