Risk & AI Manager

Location: Remote in Colombia

Company

hirify.global develops AI-powered technology for real-time financial crime, fraud, and money-laundering prevention used by banks, payment networks, and acquirers.

What you will do

• Lead a distributed team of Risk Consultants, Data Scientists, and Business Analysts across approximately 6–8 active client projects.
• Oversee the delivery of fraud detection strategies, rules, machine learning models, and analysis aligned with client goals and product best practices.
• Translate business objectives into data-driven solutions, technical action plans, and measurable outcomes.
• Guide the integration and validation of real-time and batch analytics in client environments.
• Collaborate with Engineering, Product, and Delivery on scope, performance requirements, feasibility, and long-term strategy.
• Mentor team members, conduct performance reviews, and support professional development through coaching and career planning.

Requirements

• MSc or PhD in Computer Science, Engineering, Applied Mathematics, Physics, Statistics, or another technical or quantitative discipline.
• Strong experience in data science, fraud detection, or real-time decision systems.
• Hands-on experience with machine learning, data analysis, and Python or R scripting.
• Familiarity with big data platforms such as Spark, Hadoop, or cloud-native data pipelines.
• Experience managing technical teams in cross-functional delivery environments.
• Strong communication, storytelling, prioritization, and problem-solving skills, including the ability to work with client and internal stakeholders.

Nice to have

• Experience in financial crime prevention, including fraud, anti-money laundering, or risk strategy.

Culture & Benefits

• Customer Success work spans client education, configuration, solution development, and risk strategy.
• Open environment encouraging experimentation, collaboration, and professional growth.
• Structured onboarding with training, manager meetings, team connections, and access to company and product knowledge.
• Opportunity to work virtually or onsite at an office during onboarding depending on work location.