Bachelor's degree in Computer Science, Software Engineering or relevant work experience.
Strong SQL/data skills.
Programming skills in Python or equivalent to implement ML.
Experience with financial and capital markets data.
Solid understanding of statistical and machine learning techniques.
Excellent problem solving and analytical skills.
Strong communication and presentation skills.
Ability to work independently and collaboratively in a fast-paced environment.
Responsibilities:
Data Acquisition and Cleansing – source and catalog data from multiple sources, cleanse, preprocess and validate data to ensure accuracy and consistency.
Data Analysis and Modelling – Employ statistical and ML techniques to extract meaningful insights from complex datasets.
Model Implementation and Validation – Collaborate with tech teams to deploy data feeds, models into production, ensuring scalability and reliability.
Data Catalog - Maintain an Overall data catalog for the team.