Truelogic: Data Scientist / Portfolio Analytics - Technology Services (AI & Software) - Remote (Colombia)

The role of Data Scientist in Portfolio Analytics within Technology Services, focusing on AI and Software, requires strong expertise in data analysis, statistical modeling, and machine learning techniques. Candidates should be proficient in programming languages commonly used in data science such as Python or R, and familiar with data manipulation libraries like pandas, NumPy, and visualization tools such as Matplotlib or Seaborn. Experience with AI frameworks, including TensorFlow or PyTorch, would be beneficial for developing predictive models and advanced analytics solutions. A solid understanding of portfolio analytics concepts, financial data interpretation, and risk assessment methodologies is essential to effectively analyze and optimize investment portfolios. The position likely demands experience working with large datasets, data cleaning, feature engineering, and applying algorithms to extract actionable insights. Familiarity with cloud platforms and data storage solutions, such as AWS or Azure, can enhance scalability and deployment of models. Strong communication skills are important for translating complex analytical results into clear business recommendations. Given the remote nature of the role and its location in Colombia, candidates should be comfortable with virtual collaboration tools and cross-functional teamwork. While specific experience and education levels are not provided, a background in computer science, statistics, mathematics, or a related quantitative field is typically expected for such roles. Overall, the position calls for a data-driven professional with a blend of technical proficiency, domain knowledge in portfolio analytics, and the ability to leverage AI and software technologies to support strategic decision-making in financial services.