About this role
Leading a distributed team of risk consultants, data scientists, and business analysts, this individual oversees six to eight active client engagements focused on fraud detection and prevention. The position sits within the Customer Success organization, where the team builds and delivers optimized fraud strategies, machine learning models, and data-driven solutions for major financial institutions and merchants.
Management responsibilities include guiding technical and strategic decision-making, overseeing the integration of real-time and batch analytics, and collaborating closely with engineering, product, and delivery groups. Mentoring staff, conducting performance reviews, and aligning complex business goals with technical execution form a large part of the day-to-day routine.
Ideal candidates bring a quantitative academic background alongside hands-on experience in data science, fraud detection, and technical team leadership. Navigating ambiguity and communicating clearly with both internal stakeholders and external clients are necessary traits for success in this environment.
What you will do
- Manage a cross-functional team of risk consultants, data scientists, and business analysts across multiple concurrent client projects.
- Ensure the delivery of robust fraud detection strategies, rules, models, and analytical outputs that align with organizational standards.
- Translate high-level business objectives into concrete, data-driven technical action plans.
- Guide the integration and validation of real-time and batch analytics platforms within client environments.
- Collaborate with internal engineering, product, and delivery teams to evaluate scope feasibility and performance requirements.
- Provide mentorship, handle performance reviews, and support the professional growth of team members.
What you need
- Hold an MSc or PhD in Computer Science, Engineering, Applied Math, Physics, Statistics, or a related quantitative discipline.
- Demonstrate a strong background working in data science, fraud detection, or real-time decision systems.
- Possess hands-on experience with machine learning, data analysis, and scripting languages like Python or R.
- Show familiarity with big data platforms such as Spark, Hadoop, or cloud-native data pipelines.
- Bring practical experience managing technical teams within cross-functional delivery environments.
- Exhibit the ability to navigate ambiguity, prioritize under pressure, and bridge technical and business needs through effective communication.
Nice to have
- Experience in financial crime prevention covering fraud, anti-money laundering, or risk strategy
Skills and tech stack
Questions candidates ask
What is the remote work policy for this position?
The role is based out of Colombia Remote, with options for virtual collaboration or occasional onsite interaction depending on where you work.
What tools and technologies will the team use?
The tech stack includes scripting languages such as Python or R, alongside big data platforms like Spark, Hadoop, or cloud-native data pipelines.
What can I expect during my first 30 days on the job?
You will participate in brand training, connect with colleagues, and spend one-on-one time with your manager. You will also shadow team members virtually or onsite and begin contributing to active projects.