Associate Business Intelligence and Advanced Analytics - Asset Management

Job Description

Business Intelligence team is part of Asset Management s Global Sales Enablement organization.The mission of the Business Intelligence ( BI ) team is to apply creativity, rigor, and data-driven thinking to help plan and execute the business growth of J.P. Morgan Asset Management. Our work is a blend of strategy, technology, data analysis, and execution with a key focus on defining data-driven distribution and marketing strategies for J.P. Morgan Asset Management.In this role, you will be expected to apply your marketing and data science background in order to make important contributions across a diverse array of projects. The role will require in-depth data manipulation, exploration, and analysis. We are a highly collaborative team - so you will have significant potential for learning and impact.Functional Responsibilities:

• Partnering with distribution stakeholders to identify opportunities for leveraging advanced analytics
• Partner with Portfolio Models distribution, products and marketing stakeholders for advanced analytics solutions
• Responsible to turn data into intelligence through advanced analytics solutions, connecting all various data sources to build data marts, the data engine that powers the analytics framework for senior management dashboards, Relationship management strategies (acquisition, deepening, retention), QBRs, segmentation/Focus Selector, client journeys, personalization, building recommendation engines, portfolio analytics, etc.
• Embed analytics process in organizational decision making: descriptive, diagnostic and predictive analytics to drive better business outcomes
• Building analytical frameworks for marketing measurement A/B testing, campaign ROI, cost of acquisition modeling, lifetime value, etc
• Determine efficacy of marketing initiatives and enhancing the client engagement model: Media & Brand Attribution & Personalized Journeys, Digital Intelligence, SEO journeys, market mix modelling, etc
• In-depth data exploration and data mining to develop a deep understanding of client behavior
• 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
• Fostering a data-driven, innovative culture

Qualifications:

• MBA or advanced degree in Statistics, Math, Engineering or other quantitative-focused field preferred
• Experience in an analytics role, financial services/marketing preferred
• Experience using computer languages (Python, Pyspark, Google Analytics, etc.) to manipulate and analyze large datasets
• Experience using machine learning libraries in Python (Sci-kit learn, tensorflow, etc.)
• 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
• Excellent communicator (written and verbal) with strong interpersonal skills

Skills:

• Understanding of Investment Management Business, Mutual Funds, Managed Accounts, and/or Separate Accounts preferable
• A passion for technology, financial services and asset management
• A balanced approach combining judgment, analytical rigor, curiosity, open-mindedness and creativity
• Ability to multi-task and manage competing priorities/workflows
• Proven ability to quickly learn the business, the application and adapt to ever changing priorities
• Self-motivated, team player with strong work ethic
• Ability to build relationships across global teams

,

Keyskills :
wealth management servicesdata martsdata miningdata modelsmutual fundsfixed incomedata scienceglobal salesmissing datadata analysisab testing