Sutherland

Data Scientist

Bogotá, Bogota, CO

15 days ago
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Summary

Data Scientist


Overview:

Actimize Premier is seeking a Data Scientist to design, develop, and optimize cutting-edge algorithms and machine learning solutions for financial fraud prevention and anti-money laundering (AML) applications. You will work on behavioral analytics and machine learning models while mentoring junior team members and collaborating closely with cross-functional teams. This role provides an opportunity to contribute to innovative, impactful products at the forefront of financial crime prevention technology.


Key Responsibilities:

  • Develop and optimize advanced machine learning models and algorithms for fraud detection and AML applications.
  • Mentor and guide junior data scientists and analysts, fostering a collaborative and high-performance team environment.
  • Leverage cloud platforms (AWS, Azure, Google Cloud) to implement scalable AI/ML solutions.
  • Contribute to the design and implementation of core algorithms, mathematical models, and data-driven solutions.
  • Explore and apply emerging technologies such as Generative AI to enhance fraud detection capabilities.
  • Collaborate with product managers, engineers, and other stakeholders to translate business requirements into robust technical solutions.
  • Perform statistical analysis, data mining, and visualization using tools like Python or R.
  • Drive innovation by researching and integrating the latest advancements in data science and machine learning.
  • Support the team in building user behavior models, leveraging Bayesian statistics, and exploring advanced techniques like social network analysis.


Skills and Experience Required:

  • Educational Background:
  • Master’s or Ph.D. in Statistics, Applied Mathematics, Data Science, Computer Science, Electrical Engineering, or a related quantitative field.
  • Professional Experience:
  • 2-4 years of experience in algorithm development, statistical analysis, and machine learning.
  • Hands-on experience in applying advanced machine learning techniques to real-world datasets in financial fraud prevention, AML, or similar domains.
  • Technical Expertise:
  • Proficiency in Python for statistical analysis, data modeling, and visualization.
  • Experience with cloud technologies and platforms (AWS, Azure, or Google Cloud).
  • Solid understanding of databases and SQL (e.g., MySQL).
  • Exposure to generative AI techniques and their applications in data science.
  • Soft Skills and Teamwork:
  • Strong mentoring and leadership skills, with a proven ability to guide and develop junior team members.
  • Excellent problem-solving skills with a pragmatic approach to balancing theory and practical application.
  • Effective communication skills to collaborate across teams and present complex ideas to stakeholders.
  • Resourceful, adaptable, and passionate about financial crime prevention technologies.


Preferred Qualifications:

  • Knowledge of user behavior modeling and Bayesian statistics.
  • Experience in natural language processing (NLP).
  • Familiarity with tools and libraries for generative AI (e.g., Transformer models).
  • Understanding of the financial crime prevention domain and its associated challenges.


Why Join Us?

At Actimize Premier, you will play a critical role in developing industry-leading solutions to combat financial fraud and money laundering. This role offers the opportunity to work on innovative technologies, mentor a talented team, and make a tangible impact in the fight against financial crime. Join us to lead the evolution of AI-driven fraud detection and AML technologies.

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