JPMorgan Associate Marketing Analytics - Mix Modelling 

India, Maharashtra, Mumbai 

231826949

As an Associate: Marketing Analytics - Marketing Mix Modelling in our Business Intelligence and Advanced Analytics team, you will spend each day defining, refining and delivering set goals for our firm. We are looking for a professional who has experience building market mix models.

Job responsibilities

• Partnering with business stakeholders to identify opportunities for leveraging advanced analytics. Leverage the power of AI/ML to solve complex business problems
• Analyze modeling dataset to understand trends and seasonality. Check data for outliers and identify data issues.
• Create media response transformations for all media variables; Pull macroeconomics data from a website. Compile modeling dataset
• Build market mix model from scratch, create base and channel contributions, calculate channel ROIs
• Create optimizations for what-if scenarios. Create necessary charts (including trend and waterfall) and tables for presentations
• Contributing to and enhancing data models and feature stores. Leveraging machine learning models and techniques to target opportunities and optimize processes
• Developing tools and solutions to measure model performance over time and fostering a data-driven, innovative culture
• Acting as a proxy product-owner and consultant to provide optimal data solutions for various business problem statements / pain-points and goals

Required qualifications, capabilities, and skills

• MBA or advanced degree in Statistics, Math, Engineering or other quantitative-focused field
• Experience in an analytics role, financial services/marketing with experience in building market mix models
• Understanding of media and advertising variables, response curves
• Experience using computer languages (Python, Pyspark, Google Analytics, .) to manipulate and analyze large datasets. Story-telling acumen using Tableau, power-point etc. tools
• Sound knowledge of SQL to collate data from various sources
• Experience using machine learning libraries in Python (Numpy, Pandas, Sci-kit learn, tensorflow, .)
• Knowledge of variety of machine learning algorithms (linear regression, logistic regression, SVMs, Tree-based models, neural networks, etc.) and techniques (cross validation, feature selection approaches, hyper parameter optimization, missing data imputation etc.)
• Strong problem-solving skills and excellent communicator (written and verbal) with strong interpersonal skills

Preferred qualifications, capabilities, and skills

• Understanding of Asset Management Business. A passion for technology, financial services and Asset / Wealth management
• A balanced approach combining judgment, analytical rigor, curiosity, open-mindedness and creativity. Excellent communication skills with a knack of converting data into stories
• Ability to multi-task and understand priorities/workflows. Self-motivated, team player with strong work ethic
• Ability to build relationships across global teams