Data Science Analyst / Associate - New York

Moelis & Company is an investment bank that provides innovative strategic advice and solutions to a diverse client base. The Data Science Analyst/Associate role involves collaborating within the Data Science & Analytics team to develop data-driven insights that enhance business decision-making and solve complex problems.

Responsibilities

• Work with stakeholders as an internal consultant, identifying opportunities for leveraging data & AI to solve for business challenges and opportunities. Partner with business and technology teams across the organization to evolve data science and AI capabilities.
• Assist with the buildout of firmwide AI agents and pinpoint how AI can be leveraged to build out data sources and deliver business insights
• Develop thoughtful analyses and predictive models responsive to project requirements.
• Engage in end-to-end data science projects from data curation to fitting models to productionizing at scale.
• Combine machine learning techniques with unique data assets to optimize business decisions. Develop tools to leverage machine learning models to solve business use cases.
• Research and implement custom statistical models, machine learning algorithms, and Large Language Models
• Identify valuable data sources / datasets that can be leveraged to improve results.

Qualification

Required

• 2-6 years of work-experience, preferably in Banking, Consulting, or similar environments
• Undergraduate degree with 3 years of work experience or Master’s degree in data science, math, statistics, quantitative / computational finance, engineering, computer science or other quantitative / computing field with 2 years of work experience
• Experience with or interested in building AI agents on platforms such as Microsoft Copilot, Salesforce, Box or other enterprise-wide technology
• Knowledge of machine learning / data science theory, techniques and tools; experience with Natural Language Processing (NLP) and LLMs is a plus.
• Expertise using programming languages such as Python to run analyses and SQL for querying relational databases
• Ability to effectively communicate complex analyses and concepts to internal clients, and external as needed
• Excellent analytical, quantitative and critical problem-solving skills and demonstrated research ability
• Demonstrated ability to adapt quickly and deliver high-quality results under tight timelines despite competing demands
• A strong interest or previous experience in corporate finance or investment banking
• Interest in application of emerging technologies such as AI

Preferred

• Experience with data visualizations (e.g. Python-Dash, R-Shiny, Tableau, etc.)