Legal and Compliance Spring Analyst Program (Feb 2025)

Your role

• Develop risk models using machine learning to improve compliance monitoring.
• Conduct statistical analysis and back-testing on existing models.
• Document models and coordinate validations with risk teams.
• Collaborate with Financial Crimes, Compliance, Legal, and IT departments to manage risk.
• Enhance statistical methodologies and quantitative models.
• Assist in creating key risk and performance indicators.
• Conduct information security assessments for vendors.
• Coordinate entitlement reviews with legal and compliance teams.

About you

• Bachelor’s or master’s degree from premier institutes in mathematics, statistics, physics, computational finance, computer science or other quantitative fields.
• Strong problem-solving and project management skills with the ability to work independently and multi-task to meet deadlines in a rapidly changing environment.
• Experience in advanced statistical analysis techniques including multi-variable data analysis and predictive modeling techniques. Hands-on or theoretical knowledge of various Machine Learning algorithms and tools, e.g., XGBoost/LightGBM, Random Forests, support vector machines (SVMs), PCA, K-means etc.
• Ability to work with global, cross-functional teams.
• Excellent written and oral communication skills.
• Experience in Distributed Computing & Cloud technologies (Hadoop, MapReduce, Spark, Scala, Databricks, SparQL or other related technologies) to analyze and process large data sets and write scalable and efficient code.
• Experience using Python for statistical analysis and modelling. Experience in PySpark is a plus.
• Well-versed in writing efficient, scalable and production-quality code and understanding programming best practices.

Compensation & benefits

Morgan Stanley offers competitive financial and non-financial benefits, including comprehensive employee perks and a supportive work environment.

Training & development

The program includes structured learning sessions led by senior executives, providing opportunities to develop analytical, quantitative, and interpersonal skills.

Career progression

Successful candidates can expect opportunities to advance within Morgan Stanley's global businesses, with the potential to move across various departments.