Senior Data Scientist, AML

What is Cobre and what do we do?

Cobre is the largest payments platform in Colombia, accelerating the movement of money for companies across Latin America. Our mission is to empower businesses with cutting-edge technology to make and receive payments effortlessly and efficiently. By creating a frictionless payment process, we enable companies to move money in real-time, connect their bank accounts seamlessly, and provide a unified source of data to enhance decision-making.

We believe that the interaction between businesses and financial services is undergoing a rapid transformation. We're building the tools and infrastructure to support this evolution, and we're looking for a Senior Data Scientist to join our international Risk Products Squad.

What we are looking for:

Join Cobre as a Senior Data Scientist, AML, reporting to the Head of Data and Decisioning. This critical role sits at the intersection of data science and financial technology, helping to drive the fintech industry forward. As a key player in our Risk Products squad, you will develop and implement advanced analytical solutions tailored to the needs of our Compliance and Risk teams.

Your role will require a blend of deep technical expertise and innovative thinking, pushing the boundaries of predictive analytics and applying it to areas such as financial risk management and fraud detection. You will play a pivotal role in shaping our data strategies, transforming complex data challenges into scalable solutions. Your work will contribute to defining the future of data science at Cobre and making a significant impact on the fintech sector.

What would you be doing:

• Applied Data Science: Develop and implement advanced AI, ML models and algorithms using mathematical concepts to create analytics solutions to enhance our AML Transaction Monitoring, Sanctions Screening and Due diligence. Utilize techniques such as anomaly detection, clustering, and classification.
• Data Strategy Implementation: Align data science initiatives with Cobre's goals, incorporating predictive modeling and quantitative analysis to enhance our capabilities. Identify infrastructure needs to integrate these models and algorithms into our platform.
• Innovation through AI: explore new AI solutions and techniques that can impact and add value to our internal Risk teams and our clients’.
• Technical excellence: Stay abreast of trends in data science, focusing on the mathematical foundations. Ensure best practices in model development, deployment, and governance.
• Collaborative Projects: Work with Compliance and other Risk teams to support their functions with rigorous mathematical analysis.
• Stakeholder Engagement: Understand stakeholder needs, prioritize projects, and deliver impactful data-driven solutions.
• Mentorship and Development: Assist in mentoring junior data scientists, fostering a culture of continuous learning and improvement.

What do you need:

• Experience: 5+ years in data science with a strong understanding of machine learning techniques and algorithms. Hands-on experience building predictive models, preferably in the financial industry or consulting.
• Education: Bachelor’s or Master’s degree in a quantitative field such as Mathematics, Statistics, or a related discipline.
• Technical Skills: Proficiency in Python, SQL, and machine learning libraries such as TensorFlow. Experience with data visualization tools (e.g., Tableau), cloud platforms (e.g., AWS), and data warehousing solutions (e.g., Snowflake) is highly desirable.
• Financial Crimes: Experience in business analytics, risk management, anti money laundering and fraud detection.
• Collaboration: Strong ability to work across departments and foster a collaborative environment.
• Communication Skills: Excellent communication and collaboration skills, with the ability to effectively convey complex technical concepts to non-technical stakeholders. Being bilingual in English and Spanish is a must.