Fraud Strategy Analyst

About Ualá

Ualá, founded in 2017, is revolutionizing finance in Latin America with a mission to bring financial services into the 21st century. As a neobank, Ualá serves over 9 million users across Argentina, Mexico, and Colombia, continuously expanding its ecosystem with innovative products in Payment Methods, Credit, Investments, and business solutions via Ualá Bis. The company secured one of the region's largest investment rounds in recent years and is actively recruiting top talent to achieve its vision. Join a team of over 1500 individuals who challenge the status quo, leverage cutting-edge technology, and prioritize people.

The Challenge Awaiting You

As a Fraud Strategy Analyst at Ualá, you will play a pivotal role in detecting, analyzing, and mitigating fraudulent behaviors, thereby safeguarding users and strengthening product security. Your key responsibilities will include:

• Analyzing large volumes of customer data, transactions, and alerts to identify patterns, anomalies, and emerging trends.
• Collaborating in the development, validation, and enhancement of risk models and detection algorithms (rules, scoring, machine learning).
• Measuring the effectiveness of anti-fraud controls and rules, proposing improvements to optimize detection and reduce false positives.
• Producing executive reports and dashboards to communicate risks, averted losses, and newly identified fraud typologies.
• Designing SQL queries and ETL processes to feed models and reports.
• Working cross-functionally with Fraud Prevention, Product, IT, and Risk teams, ensuring analyses support strategic and operational decisions.
• Exploring new data sources, analytical methodologies, and tools to bolster fraud prevention efforts.

What We're Looking For

• At least 2 years of experience in data analysis, business intelligence, or data science, ideally applied to fraud, risk, or digital banking.
• Solid knowledge of advanced SQL (mandatory).
• Proficiency in visualization tools such as Power BI, Tableau, or Looker.
• Knowledge of Python or R for statistical analysis and modeling (valued).
• An analytical profile with the ability to detect anomalies and translate complex information into actionable insights.
• Experience or interest in fraud, payment methods, digital banking, or e-commerce (desirable).
• Ability to communicate results clearly to both technical and business teams.
• Autonomy to manage end-to-end projects and proactivity in proposing continuous improvements.

Why Join Ualá?

Ualá believes that the best ideas stem from diverse perspectives and experiences, fostering a safe and collaborative environment where every voice matters. Ualá's team boasts representatives from 11 nationalities and diverse backgrounds. Notably, 46% of the team are women, a significant achievement in a tech-financial company, surpassing the less than 30% average for women in FinTech across Latin America. This diversity strengthens the company and is crucial for developing inclusive products that compete globally. If you are motivated to transform the industry and approach things differently, Ualá is looking for you. The company's core belief is that only the best team can create the best product, making talent acquisition, retention, and investment paramount.

What Ualá Offers

• A flexible and growing work environment with immense professional development potential.
• Access to top-tier educational institutions with discounts on training, courses, and degrees.
• A commitment to work-life balance, including three weeks of vacation, extended leave policies, a birthday day off, flexible work arrangements, and more.
• Comprehensive family health coverage, gym discounts, 70% cashback on Ualá card purchases (with a reimbursement cap), referral bonuses, and other benefits supporting your life both inside and outside of work.

Key skills/competency

• Data Analysis
• Fraud Detection
• SQL
• Business Intelligence
• Risk Management
• ETL Processes
• Data Visualization
• Machine Learning
• Python/R
• Financial Services