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The role is part of the Technology and Development Operations (TDO) team, within the GAAPS COO function, and is responsible for designing, developing, and delivering technical solutions to the organization’s workflow challenges. The role requires a deep understanding of the functions within GAAPS to better comprehend the challenges faced by these functions.
Job Responsibility:
Design, develop, and deliver technical solutions, including AI-based models, that will help the organization scale
Build, test, and deploy web applications by working on both the front-end (JavaScript/TypeScript with React/Angular frameworks) and back-end (Server, SQL, Python, JavaScript/TypeScript, etc.)
Work with partners to identify areas where technology can be brought to bear to improve business processes
Make autonomous decisions on which solutions best fit the business problem presented
Test and validate AI models to ensure that they are accurate and aligned with the organization’s strategic goals
Drive engagement with partners to ensure that accurate business requirements are established
Build relationships with other internal technology teams to ensure familiarity with all potential AI-based solutions while also holding them accountable for capturing and measuring business benefits
Requirements:
4+ years of experience in a Data Scientist, Business Analyst or Developer role
A bachelor’s degree in engineering, Mathematics, Economics, Computer Science, Actuarial Science, or related fields
Bilingual in English and Spanish, with written and oral fluency
Proficiency in programming languages (e.g., Java, Typescript, Python) as well as strong SQL and database knowledge
Experience or familiarity with React or Angular frameworks is required
Proficient in Machine Learning models, with expertise in Natural Language Processing techniques including sentiment analysis, named entity recognition, and topic modeling
Experience with LLMs, including prompt engineering and fine-tuning
Experience using Agile methodologies – previous experience working from a backlog, sprints, retrospectives etc.
Interest in the investment management industry and investment products
Nice to have:
Exposure in developing and implementing AI-based solutions preferred
Experience with cloud-based machine learning platforms such as Azure Machine Learning a plus
Experience or background in the financial industry is considered a plus
Familiarity with data visualization tools, e.g., Splunk, Tableau, Power BI