About the job Engineer: Machine Learning III Qualifications and experience: 4 to 6 years Machine Learning and Software Engineering experience Strong analytical and problem-solving skills Expert in Python and SQL Experience with modern software development best practices,
What you’ll be doing This is not a traditional reporting role. You’ll own and evolve the Sigma analytics platform sitting on top of our Snowflake data environment and work closely with Treasury leadership to ensure critical
Your Team Responsibilities As an Analyst within MSCI’s Private Capital Solutions Transactions Team, you will play a critical role in transforming raw private capital data into valuable, high‑quality analytics used by institutional asset owners and managers.
Key Responsibilities: Lead the independent validation of machine learning and predictive models across credit risk, financial crime, fraud, AML, and behavioural analytics. Review and validate the end-to-end model lifecycle, including feature engineering, model development, training, evaluation,
SUMMARY: Drive the future of Machine Learning and Quantitative Risk Analytics at a leading financial services organization. This is an opportunity for a technically strong Quantitative Analyst to lead the validation of high-impact machine learning models