Business Analyst – Compliance

📋 Description

• Develop statistical segmentation models for customers to help identify warning signs and unusual operations related to LAFT.

• Methodically build and implement analytical models to optimize processes using relational and non-relational databases.

• Propose and articulate the implementation of comprehensive monitoring and follow-up strategies for customer operations to mitigate LAFT risks in line with new products and services.

• Design, implement, and monitor descriptive and predictive indicators to evaluate the effectiveness and maturity of risk management systems.

• Support the consolidation, validation, and timely submission of information and periodic reports required by the Superintendencia Financiera de Colombia, ensuring the integrity, quality, and accuracy of reported data.

• Collaborate closely with various domains within the organization to identify opportunities for data analysis application and provide evidence-based solutions.

• Define and calculate business metrics associated with Compliance and LAFT risk management.

• Work with cross-functional teams, including product managers, marketing, and operations, to align LAFT risk management strategies with different products and services.

• Generate data-driven insights to define and adjust strategies aimed at risk management.

• Develop and maintain regular and ad-hoc reports that provide visibility into key areas.

• Collaborate with data engineering teams to ensure relevant data for the digital account product is collected, processed, and analyzed appropriately.

• Ensure that data handling and analysis comply with data privacy regulations and internal compliance policies.

⛳️ Requirements

• Professional degree in industrial engineering, economics, mathematics, statistics, or related fields.

• Over 3 years of experience as a Business Analyst, Data Scientist, or Data Analyst.

• Advanced and proven knowledge of SQL.

• Intermediate to advanced knowledge of Python.

• Understanding of statistical concepts to interpret data and identify patterns.

• Experience in analyzing transactions and customer behavior in financial entities or fintech companies.

• In-depth knowledge of statistical methods and machine learning, and their application to complex business problems involving classification, regression, clustering, among others.

• Experience using big data tools (Spark, Hadoop, etc.).

• Experience with AWS ML suite tools, including the implementation and management of automated and scalable solutions like AWS Canvas AutoML and AWS Sagemaker.

• Desirable knowledge of AWS consultation, advanced analytics, and visualization services (Redshift, Athena, Quicksight, Metabase, Sagemaker).

• Ability to facilitate the understanding of technical concepts to non-technical audiences and promote a data-driven culture.

• Capacity to work in multidisciplinary teams and adapt to changing environments.

• Effective communication skills to present findings and insights to non-technical stakeholders.

• Strong problem-solving and identification skills, with the ability to propose solutions and make data-driven recommendations.

• Excellent verbal and written communication skills.

🏝️ Benefits

• Indefinite-term contract

• Competitive salary

• Annual bonus for achieving business objectives (equity or cash).

• Full-time remote work

• Health insurance

• Financial support for education

• World-class technologies and processes

• Additional days off beyond vacation

• Visual health bonus

• Emotional wellness support